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Apache License
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http://www.apache.org/licenses/
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(except as stated in this section) patent license to make, have made,
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or a Contribution incorporated within the Work constitutes direct
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meet the following conditions:
(a) You must give any other recipients of the Work or
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(b) You must cause any modified files to carry prominent notices
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this License, without any additional terms or conditions.
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the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
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except as required for reasonable and customary use in describing the
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7. Disclaimer of Warranty. Unless required by applicable law or
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whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
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of any other Contributor, and only if You agree to indemnify,
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APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
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Copyright 2026 Egzakta Group d.o.o.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
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hive-mind
Copyright 2026 Egzakta Group d.o.o.
This product includes software developed by Egzakta Group d.o.o.
(https://egzakta.com).
Portions of this software were extracted from Waggle OS
(https://waggle-os.ai) — specifically the memory substrate layers
(frames, hybrid search, knowledge graph, identity, awareness, sessions),
the harvest pipeline, and the wiki compiler.
The following Waggle OS subsystems are intentionally NOT part of this
distribution and remain proprietary to Egzakta Group:
- EU AI Act compliance reporting and audit trail (compliance/*)
- Agent runtime, personas, and behavioral specifications (packages/agent/*)
- Self-evolution engine: GEPA iterative optimization, EvolveSchema,
execution trace storage, evolution run storage, improvement signals
- Encrypted secret vault (mind/vault.ts)
- Tier and billing system (Stripe integration, feature gating)
- Tauri desktop shell and Waggle web UI
- Multi-agent coordination (WaggleDance, subagent orchestration)
See EXTRACTION.md in the repository root for the full source mapping.
Licensed under the Apache License, Version 2.0 (the "License"); you may
not use this file except in compliance with the License. You may obtain
a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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# @hive-mind/cli
[![npm](https://img.shields.io/npm/v/@hive-mind/cli.svg)](https://www.npmjs.com/package/@hive-mind/cli)
[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](./LICENSE)
Command-line tools for hive-mind memory. Designed to run from `SessionStart` / `Stop` hooks and nightly cron jobs — wherever you need a shell-driven way to read from, write to, or maintain a hive-mind workspace.
## Install
```bash
npm install -g @hive-mind/cli
```
or run without installing:
```bash
npx @hive-mind/cli recall-context "what do I know about X"
```
## Commands
| Command | Purpose |
|---|---|
| `recall-context <query>` | Hybrid FTS5 + vector search over memory frames |
| `save-session` | Persist current session transcript as memory frames |
| `harvest-local` | Ingest ChatGPT / Claude / Gemini / PDF / Markdown / URL exports |
| `cognify` | Extract entities and relations into the knowledge graph |
| `compile-wiki` | Compile memory into interlinked wiki pages |
| `maintenance` | Compact superseded frames, clean up deprecated data |
Every command supports `--json` for machine-readable output and `--help` for flags.
## Examples
```bash
# Recall
hive-mind-cli recall-context "deployment pipeline decisions"
# Save a Claude Code session transcript
hive-mind-cli save-session --file ./claude-session.md
# Harvest a folder of ChatGPT exports
hive-mind-cli harvest-local --source chatgpt --path ./exports
# Nightly maintenance
hive-mind-cli maintenance --compact --cleanup
```
## License
Apache 2.0. See [LICENSE](./LICENSE) and [NOTICE](./NOTICE).
## Part of hive-mind
Full docs at the [monorepo root](https://github.com/marolinik/hive-mind).

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#!/usr/bin/env node
'use strict';
/**
* BUNDLED ASSET — mcp-health-check.js for hive-mind-cli postinstall override.
*
* Source: everything-claude-code marketplace plugin
* (https://github.com/Affaan-Mustafa/everything-claude-code)
* commit cf6e6c5d, MIT License (Copyright (c) 2026 Affaan Mustafa)
* Patch authored by Marko Markovic <marko.markovic@egzakta.com> at Egzakta Group.
*
* Patch summary:
* probeCommandServer() now sets `shell: true` and `windowsHide: true` on the
* spawnOptions when process.platform === 'win32'. This lets npm-installed
* .cmd / .bat shims (e.g., hive-mind-cli) resolve via cmd.exe instead of
* failing with `spawn ENOENT` and getting quarantined for the entire backoff
* window.
*
* Distribution: Apache-2.0 wrapper around MIT-licensed upstream. The MIT notice
* above is preserved per the original LICENSE in everything-claude-code repo.
* MIT and Apache-2.0 are bidirectionally compatible for redistribution.
*
* Lifecycle: this asset is bundled by @waggle/hive-mind-cli and dropped to
* ~/.claude/scripts/hooks/mcp-health-check.js (user override path) on win32 by
* the package's postinstall script. Once upstream merges the fix (PR materials
* in packages/hive-mind-hooks-claude-code/upstream-pr/), this override is no
* longer needed and can be removed.
*
* MCP health-check hook.
*
* Compatible with Claude Code's existing hook events:
* - PreToolUse: probe MCP server health before MCP tool execution
* - PostToolUseFailure: mark unhealthy servers, attempt reconnect, and re-probe
*
* The hook persists health state outside the conversation context so it
* survives compaction and later turns.
*/
const fs = require('fs');
const os = require('os');
const path = require('path');
const http = require('http');
const https = require('https');
const { spawn, spawnSync } = require('child_process');
const MAX_STDIN = 1024 * 1024;
const DEFAULT_TTL_MS = 2 * 60 * 1000;
const DEFAULT_TIMEOUT_MS = 5000;
const DEFAULT_BACKOFF_MS = 30 * 1000;
const MAX_BACKOFF_MS = 10 * 60 * 1000;
const HEALTHY_HTTP_CODES = new Set([200, 201, 202, 204, 301, 302, 303, 304, 307, 308, 405]);
const RECONNECT_STATUS_CODES = new Set([401, 403, 429, 503]);
const FAILURE_PATTERNS = [
{ code: 401, pattern: /\b401\b|unauthori[sz]ed|auth(?:entication)?\s+(?:failed|expired|invalid)/i },
{ code: 403, pattern: /\b403\b|forbidden|permission denied/i },
{ code: 429, pattern: /\b429\b|rate limit|too many requests/i },
{ code: 503, pattern: /\b503\b|service unavailable|overloaded|temporarily unavailable/i },
{ code: 'transport', pattern: /ECONNREFUSED|ENOTFOUND|EAI_AGAIN|timed? out|socket hang up|connection (?:failed|lost|reset|closed)/i }
];
function envNumber(name, fallback) {
const value = Number(process.env[name]);
return Number.isFinite(value) && value >= 0 ? value : fallback;
}
function stateFilePath() {
if (process.env.ECC_MCP_HEALTH_STATE_PATH) {
return path.resolve(process.env.ECC_MCP_HEALTH_STATE_PATH);
}
return path.join(os.homedir(), '.claude', 'mcp-health-cache.json');
}
function configPaths() {
if (process.env.ECC_MCP_CONFIG_PATH) {
return process.env.ECC_MCP_CONFIG_PATH
.split(path.delimiter)
.map(entry => entry.trim())
.filter(Boolean)
.map(entry => path.resolve(entry));
}
const cwd = process.cwd();
const home = os.homedir();
return [
path.join(cwd, '.claude.json'),
path.join(cwd, '.claude', 'settings.json'),
path.join(home, '.claude.json'),
path.join(home, '.claude', 'settings.json')
];
}
function readJsonFile(filePath) {
try {
return JSON.parse(fs.readFileSync(filePath, 'utf8'));
} catch {
return null;
}
}
function loadState(filePath) {
const state = readJsonFile(filePath);
if (!state || typeof state !== 'object' || Array.isArray(state)) {
return { version: 1, servers: {} };
}
if (!state.servers || typeof state.servers !== 'object' || Array.isArray(state.servers)) {
state.servers = {};
}
return state;
}
function saveState(filePath, state) {
try {
fs.mkdirSync(path.dirname(filePath), { recursive: true });
fs.writeFileSync(filePath, JSON.stringify(state, null, 2));
} catch {
// Never block the hook on state persistence errors.
}
}
function readRawStdin() {
return new Promise(resolve => {
let raw = '';
let truncated = /^(1|true|yes)$/i.test(String(process.env.ECC_HOOK_INPUT_TRUNCATED || ''));
process.stdin.setEncoding('utf8');
process.stdin.on('data', chunk => {
if (raw.length < MAX_STDIN) {
const remaining = MAX_STDIN - raw.length;
raw += chunk.substring(0, remaining);
if (chunk.length > remaining) {
truncated = true;
}
} else {
truncated = true;
}
});
process.stdin.on('end', () => resolve({ raw, truncated }));
process.stdin.on('error', () => resolve({ raw, truncated }));
});
}
function safeParse(raw) {
try {
return raw.trim() ? JSON.parse(raw) : {};
} catch {
return {};
}
}
function extractMcpTarget(input) {
const toolName = String(input.tool_name || input.name || '');
const explicitServer = input.server
|| input.mcp_server
|| input.tool_input?.server
|| input.tool_input?.mcp_server
|| input.tool_input?.connector
|| null;
const explicitTool = input.tool
|| input.mcp_tool
|| input.tool_input?.tool
|| input.tool_input?.mcp_tool
|| null;
if (explicitServer) {
return {
server: String(explicitServer),
tool: explicitTool ? String(explicitTool) : toolName
};
}
if (!toolName.startsWith('mcp__')) {
return null;
}
const segments = toolName.slice(5).split('__');
if (segments.length < 2 || !segments[0]) {
return null;
}
return {
server: segments[0],
tool: segments.slice(1).join('__')
};
}
function extractMcpTargetFromRaw(raw) {
const toolNameMatch = raw.match(/"(?:tool_name|name)"\s*:\s*"([^"]+)"/);
const serverMatch = raw.match(/"(?:server|mcp_server|connector)"\s*:\s*"([^"]+)"/);
const toolMatch = raw.match(/"(?:tool|mcp_tool)"\s*:\s*"([^"]+)"/);
return extractMcpTarget({
tool_name: toolNameMatch ? toolNameMatch[1] : '',
server: serverMatch ? serverMatch[1] : undefined,
tool: toolMatch ? toolMatch[1] : undefined
});
}
function resolveServerConfig(serverName) {
for (const filePath of configPaths()) {
const data = readJsonFile(filePath);
const server = data?.mcpServers?.[serverName]
|| data?.mcp_servers?.[serverName]
|| null;
if (server && typeof server === 'object' && !Array.isArray(server)) {
return {
config: server,
source: filePath
};
}
}
return null;
}
function markHealthy(state, serverName, now, details = {}) {
state.servers[serverName] = {
status: 'healthy',
checkedAt: now,
expiresAt: now + envNumber('ECC_MCP_HEALTH_TTL_MS', DEFAULT_TTL_MS),
failureCount: 0,
lastError: null,
lastFailureCode: null,
nextRetryAt: now,
lastRestoredAt: now,
...details
};
}
function markUnhealthy(state, serverName, now, failureCode, errorMessage) {
const previous = state.servers[serverName] || {};
const failureCount = Number(previous.failureCount || 0) + 1;
const backoffBase = envNumber('ECC_MCP_HEALTH_BACKOFF_MS', DEFAULT_BACKOFF_MS);
const nextRetryDelay = Math.min(backoffBase * (2 ** Math.max(failureCount - 1, 0)), MAX_BACKOFF_MS);
state.servers[serverName] = {
status: 'unhealthy',
checkedAt: now,
expiresAt: now,
failureCount,
lastError: errorMessage || null,
lastFailureCode: failureCode || null,
nextRetryAt: now + nextRetryDelay,
lastRestoredAt: previous.lastRestoredAt || null
};
}
function failureSummary(input) {
const output = input.tool_output;
const pieces = [
typeof input.error === 'string' ? input.error : '',
typeof input.message === 'string' ? input.message : '',
typeof input.tool_response === 'string' ? input.tool_response : '',
typeof output === 'string' ? output : '',
typeof output?.output === 'string' ? output.output : '',
typeof output?.stderr === 'string' ? output.stderr : '',
typeof input.tool_input?.error === 'string' ? input.tool_input.error : ''
].filter(Boolean);
return pieces.join('\n');
}
function detectFailureCode(text) {
const summary = String(text || '');
for (const entry of FAILURE_PATTERNS) {
if (entry.pattern.test(summary)) {
return entry.code;
}
}
return null;
}
function requestHttp(urlString, headers, timeoutMs) {
return new Promise(resolve => {
let settled = false;
let timedOut = false;
const url = new URL(urlString);
const client = url.protocol === 'https:' ? https : http;
const req = client.request(
url,
{
method: 'GET',
headers,
},
res => {
if (settled) return;
settled = true;
res.resume();
resolve({
ok: HEALTHY_HTTP_CODES.has(res.statusCode),
statusCode: res.statusCode,
reason: `HTTP ${res.statusCode}`
});
}
);
req.setTimeout(timeoutMs, () => {
timedOut = true;
req.destroy(new Error('timeout'));
});
req.on('error', error => {
if (settled) return;
settled = true;
resolve({
ok: false,
statusCode: null,
reason: timedOut ? 'request timed out' : error.message
});
});
req.end();
});
}
function probeCommandServer(serverName, config) {
return new Promise(resolve => {
const command = config.command;
const args = Array.isArray(config.args) ? config.args.map(arg => String(arg)) : [];
const timeoutMs = envNumber('ECC_MCP_HEALTH_TIMEOUT_MS', DEFAULT_TIMEOUT_MS);
const mergedEnv = {
...process.env,
...(config.env && typeof config.env === 'object' && !Array.isArray(config.env) ? config.env : {})
};
let stderr = '';
let done = false;
function finish(result) {
if (done) return;
done = true;
resolve(result);
}
const spawnOptions = {
env: mergedEnv,
cwd: process.cwd(),
stdio: ['pipe', 'ignore', 'pipe']
};
if (process.platform === 'win32') {
// Required so .cmd/.bat shims (e.g., npm-installed CLIs like hive-mind-cli)
// resolve via cmd.exe instead of failing with spawn ENOENT.
spawnOptions.shell = true;
spawnOptions.windowsHide = true;
}
let child;
try {
child = spawn(command, args, spawnOptions);
} catch (error) {
finish({
ok: false,
statusCode: null,
reason: error.message
});
return;
}
child.stderr.on('data', chunk => {
if (stderr.length < 4000) {
const remaining = 4000 - stderr.length;
stderr += String(chunk).slice(0, remaining);
}
});
child.on('error', error => {
finish({
ok: false,
statusCode: null,
reason: error.message
});
});
child.on('exit', (code, signal) => {
finish({
ok: false,
statusCode: code,
reason: stderr.trim() || `process exited before handshake (${signal || code || 'unknown'})`
});
});
const timer = setTimeout(() => {
try {
child.kill('SIGTERM');
} catch {
// ignore
}
setTimeout(() => {
try {
child.kill('SIGKILL');
} catch {
// ignore
}
}, 200).unref?.();
finish({
ok: true,
statusCode: null,
reason: `${serverName} accepted a new stdio process`
});
}, timeoutMs);
if (typeof timer.unref === 'function') {
timer.unref();
}
});
}
async function probeServer(serverName, resolvedConfig) {
const config = resolvedConfig.config;
if (config.type === 'http' || config.url) {
const result = await requestHttp(config.url, config.headers || {}, envNumber('ECC_MCP_HEALTH_TIMEOUT_MS', DEFAULT_TIMEOUT_MS));
return {
ok: result.ok,
failureCode: RECONNECT_STATUS_CODES.has(result.statusCode) ? result.statusCode : null,
reason: result.reason,
source: resolvedConfig.source
};
}
if (config.command) {
const result = await probeCommandServer(serverName, config);
return {
ok: result.ok,
failureCode: RECONNECT_STATUS_CODES.has(result.statusCode) ? result.statusCode : null,
reason: result.reason,
source: resolvedConfig.source
};
}
return {
ok: false,
failureCode: null,
reason: 'unsupported MCP server config',
source: resolvedConfig.source
};
}
function reconnectCommand(serverName) {
const key = `ECC_MCP_RECONNECT_${String(serverName).toUpperCase().replace(/[^A-Z0-9]/g, '_')}`;
const command = process.env[key] || process.env.ECC_MCP_RECONNECT_COMMAND || '';
if (!command.trim()) {
return null;
}
return command.includes('{server}')
? command.replace(/\{server\}/g, serverName)
: command;
}
function attemptReconnect(serverName) {
const command = reconnectCommand(serverName);
if (!command) {
return { attempted: false, success: false, reason: 'no reconnect command configured' };
}
const result = spawnSync(command, {
shell: true,
env: process.env,
cwd: process.cwd(),
encoding: 'utf8',
timeout: envNumber('ECC_MCP_RECONNECT_TIMEOUT_MS', DEFAULT_TIMEOUT_MS)
});
if (result.error) {
return { attempted: true, success: false, reason: result.error.message };
}
if (result.status !== 0) {
return {
attempted: true,
success: false,
reason: (result.stderr || result.stdout || `reconnect exited ${result.status}`).trim()
};
}
return { attempted: true, success: true, reason: 'reconnect command completed' };
}
function shouldFailOpen() {
return /^(1|true|yes)$/i.test(String(process.env.ECC_MCP_HEALTH_FAIL_OPEN || ''));
}
function emitLogs(logs) {
for (const line of logs) {
process.stderr.write(`${line}\n`);
}
}
async function handlePreToolUse(rawInput, input, target, statePathValue, now) {
const logs = [];
const state = loadState(statePathValue);
const previous = state.servers[target.server] || {};
if (previous.status === 'healthy' && Number(previous.expiresAt || 0) > now) {
return { rawInput, exitCode: 0, logs };
}
if (previous.status === 'unhealthy' && Number(previous.nextRetryAt || 0) > now) {
logs.push(
`[MCPHealthCheck] ${target.server} is marked unhealthy until ${new Date(previous.nextRetryAt).toISOString()}; skipping ${target.tool || 'tool'}`
);
return { rawInput, exitCode: shouldFailOpen() ? 0 : 2, logs };
}
const resolvedConfig = resolveServerConfig(target.server);
if (!resolvedConfig) {
logs.push(`[MCPHealthCheck] No MCP config found for ${target.server}; skipping preflight probe`);
return { rawInput, exitCode: 0, logs };
}
const probe = await probeServer(target.server, resolvedConfig);
if (probe.ok) {
markHealthy(state, target.server, now, { source: resolvedConfig.source });
saveState(statePathValue, state);
if (previous.status === 'unhealthy') {
logs.push(`[MCPHealthCheck] ${target.server} connection restored`);
}
return { rawInput, exitCode: 0, logs };
}
let reconnect = { attempted: false, success: false, reason: 'probe failed' };
if (probe.failureCode || previous.status === 'unhealthy') {
reconnect = attemptReconnect(target.server);
if (reconnect.success) {
const reprobe = await probeServer(target.server, resolvedConfig);
if (reprobe.ok) {
markHealthy(state, target.server, now, {
source: resolvedConfig.source,
restoredBy: 'reconnect-command'
});
saveState(statePathValue, state);
logs.push(`[MCPHealthCheck] ${target.server} connection restored after reconnect`);
return { rawInput, exitCode: 0, logs };
}
probe.reason = `${probe.reason}; reconnect reprobe failed: ${reprobe.reason}`;
}
}
markUnhealthy(state, target.server, now, probe.failureCode, probe.reason);
saveState(statePathValue, state);
const reconnectSuffix = reconnect.attempted
? ` Reconnect attempt: ${reconnect.success ? 'ok' : reconnect.reason}.`
: '';
logs.push(
`[MCPHealthCheck] ${target.server} is unavailable (${probe.reason}). Blocking ${target.tool || 'tool'} so Claude can fall back to non-MCP tools.${reconnectSuffix}`
);
return { rawInput, exitCode: shouldFailOpen() ? 0 : 2, logs };
}
async function handlePostToolUseFailure(rawInput, input, target, statePathValue, now) {
const logs = [];
const summary = failureSummary(input);
const failureCode = detectFailureCode(summary);
if (!failureCode) {
return { rawInput, exitCode: 0, logs };
}
const state = loadState(statePathValue);
markUnhealthy(state, target.server, now, failureCode, summary.slice(0, 500));
saveState(statePathValue, state);
logs.push(`[MCPHealthCheck] ${target.server} reported ${failureCode}; marking server unhealthy and attempting reconnect`);
const reconnect = attemptReconnect(target.server);
if (!reconnect.attempted) {
logs.push(`[MCPHealthCheck] ${target.server} reconnect skipped: ${reconnect.reason}`);
return { rawInput, exitCode: 0, logs };
}
if (!reconnect.success) {
logs.push(`[MCPHealthCheck] ${target.server} reconnect failed: ${reconnect.reason}`);
return { rawInput, exitCode: 0, logs };
}
const resolvedConfig = resolveServerConfig(target.server);
if (!resolvedConfig) {
logs.push(`[MCPHealthCheck] ${target.server} reconnect completed but no config was available for a follow-up probe`);
return { rawInput, exitCode: 0, logs };
}
const reprobe = await probeServer(target.server, resolvedConfig);
if (!reprobe.ok) {
logs.push(`[MCPHealthCheck] ${target.server} reconnect command ran, but health probe still failed: ${reprobe.reason}`);
return { rawInput, exitCode: 0, logs };
}
const refreshed = loadState(statePathValue);
markHealthy(refreshed, target.server, now, {
source: resolvedConfig.source,
restoredBy: 'post-failure-reconnect'
});
saveState(statePathValue, refreshed);
logs.push(`[MCPHealthCheck] ${target.server} connection restored`);
return { rawInput, exitCode: 0, logs };
}
async function main() {
const { raw: rawInput, truncated } = await readRawStdin();
const input = safeParse(rawInput);
const target = extractMcpTarget(input) || (truncated ? extractMcpTargetFromRaw(rawInput) : null);
if (!target) {
process.stdout.write(rawInput);
process.exit(0);
return;
}
if (truncated) {
const limit = Number(process.env.ECC_HOOK_INPUT_MAX_BYTES) || MAX_STDIN;
const logs = [
shouldFailOpen()
? `[MCPHealthCheck] Hook input exceeded ${limit} bytes while checking ${target.server}; allowing ${target.tool || 'tool'} because fail-open mode is enabled`
: `[MCPHealthCheck] Hook input exceeded ${limit} bytes while checking ${target.server}; blocking ${target.tool || 'tool'} to avoid bypassing MCP health checks`
];
emitLogs(logs);
process.stdout.write(rawInput);
process.exit(shouldFailOpen() ? 0 : 2);
return;
}
const eventName = process.env.CLAUDE_HOOK_EVENT_NAME || 'PreToolUse';
const now = Date.now();
const statePathValue = stateFilePath();
const result = eventName === 'PostToolUseFailure'
? await handlePostToolUseFailure(rawInput, input, target, statePathValue, now)
: await handlePreToolUse(rawInput, input, target, statePathValue, now);
emitLogs(result.logs);
process.stdout.write(result.rawInput);
process.exit(result.exitCode);
}
main().catch(error => {
process.stderr.write(`[MCPHealthCheck] Unexpected error: ${error.message}\n`);
process.exit(0);
});

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@@ -0,0 +1,115 @@
# Windows Quirks — hive-mind-cli on Windows 10/11
> **TL;DR:** Install with `npm install -g @waggle/hive-mind-cli`. The package's
> postinstall script handles all the Windows-specific quirks automatically. If
> you ever see `spawn ENOENT` errors when Claude Code tries to use hive-mind,
> run `hive-mind-cli doctor` — it will diagnose and recover automatically.
## What's different on Windows
Windows command-line behavior diverges from POSIX (Linux + macOS) in three ways
that affect how Claude Code talks to `hive-mind-cli`:
### 1. npm-global CLIs are `.cmd` shims, not symlinks
When you run `npm install -g <package>` on Windows, npm creates a small `.cmd`
file in `%APPDATA%\npm\<package>.cmd` (or `~\AppData\Roaming\npm\<package>.cmd`).
That `.cmd` file invokes Node with the package's actual JS entry point.
POSIX systems use symlinks to the real binary, which `child_process.spawn`
resolves natively without any extra config. Windows requires `cmd.exe` to
resolve the `.cmd` shim — meaning callers must either:
- Pass `shell: true` to `child_process.spawn(...)`, OR
- Add the explicit `.cmd` extension to the binary name (`hive-mind-cli.cmd`)
Most Node code targets POSIX and forgets `shell: true`. When that code runs on
Windows, it hits `spawn <name> ENOENT` even though the binary IS on PATH.
### 2. The Claude Code MCP health-check hook had this bug
Until commit `cf6e6c5d` (April 2026) on the
[`everything-claude-code` marketplace plugin](https://github.com/Affaan-Mustafa/everything-claude-code),
`scripts/hooks/mcp-health-check.js::probeCommandServer` called `spawn(command, args, ...)`
without `shell: true`. Result: every MCP server backed by an npm-installed
CLI (hive-mind-cli, chrome-devtools, etc.) failed the health check on Windows,
got marked "unhealthy," and was quarantined for the backoff window — blocking
every subsequent MCP tool call until quarantine expired.
`@waggle/hive-mind-cli` ships a corrected `mcp-health-check.js` and drops it to
the user override path (`~/.claude/scripts/hooks/mcp-health-check.js`) at install
time on Windows. That override takes precedence over the plugin path in Claude
Code's hook resolution order, so the fix is effective even if the marketplace
plugin still has the bug.
### 3. Quarantine state file must be cleared after first install
If you ran into this bug BEFORE installing `@waggle/hive-mind-cli`, your Claude
Code may have a stale quarantine state for `hive-mind` cached at:
```
~/.claude/mcp-health-cache.json
```
If a server is in `failureQuarantines` or `lastFailureCode = 'spawn ENOENT'`
in that file, Claude Code will continue refusing to call its tools even after
the postinstall fix is in place. Workaround:
```powershell
# Edit the file and remove the hive-mind entry (or any quarantined entries):
notepad $env:USERPROFILE\.claude\mcp-health-cache.json
```
…or simply delete the cache file entirely:
```powershell
Remove-Item $env:USERPROFILE\.claude\mcp-health-cache.json
```
…or run the doctor command (see below) which clears it automatically.
## Verifying hive-mind-cli is healthy in <10 seconds
```powershell
hive-mind-cli doctor
```
Expected output (green path):
```
[hive-mind-cli doctor] Spawning self via Node child_process.spawn… ✓
[hive-mind-cli doctor] Saving probe frame to personal.mind… ✓
[hive-mind-cli doctor] Recalling probe frame… ✓
[hive-mind-cli doctor] Checked mcp-health-cache.json: clean
[hive-mind-cli doctor] PASS — hive-mind-cli is healthy on win32. First MCP call should succeed.
```
If any step fails, the doctor command prints an actionable error message
suggesting the next step (e.g., "Re-run `npm install -g @waggle/hive-mind-cli`
to re-trigger the postinstall override").
## Unsupported Windows configurations
Tested on:
- Windows 10 21H2+ (build 19044+)
- Windows 11 22H2+ (build 22621+)
- Node.js 20.x via official MSI installer
Untested / may need additional config:
- WSL1 (use WSL2 instead — POSIX behavior, no quirks)
- Cygwin / MSYS2 — should work like POSIX but `~` path resolution may differ
- npm with PowerShell 7 default executor change — should work, but test if you
see spawn errors
## Reporting bugs
If `hive-mind-cli doctor` fails on a configuration not listed above, file an
issue at [`marolinik/waggle-os/issues`](https://github.com/marolinik/waggle-os/issues)
with:
- Output of `hive-mind-cli doctor` (full)
- Output of `node --version` and `npm --version`
- Windows version (`winver` from Run dialog)
- Whether `everything-claude-code` marketplace plugin is installed (`Get-ChildItem $env:USERPROFILE\.claude\plugins\marketplaces`)

View File

@@ -0,0 +1,67 @@
{
"name": "@waggle/hive-mind-cli",
"version": "0.1.0",
"description": "Command-line tools for hive-mind: recall, save, harvest, compile-wiki, maintenance, doctor. Designed to run from SessionStart/Stop hooks and nightly cron. Includes Windows .cmd shim postinstall fix for Claude Code MCP integration.",
"license": "Apache-2.0",
"type": "module",
"main": "dist/index.js",
"bin": {
"hive-mind-cli": "dist/index.js"
},
"exports": {
".": {
"types": "./dist/index.d.ts",
"import": "./dist/index.js"
}
},
"files": [
"dist",
"src",
"assets",
"docs",
"README.md",
"LICENSE",
"postinstall.cjs"
],
"scripts": {
"build": "tsc --build",
"clean": "tsc --build --clean",
"test": "vitest run --config vitest.config.ts",
"start": "node dist/index.js",
"postinstall": "node postinstall.cjs"
},
"dependencies": {
"@waggle/hive-mind-core": "*",
"@waggle/hive-mind-mcp-server": "*",
"@waggle/hive-mind-wiki-compiler": "*"
},
"engines": {
"node": ">=20"
},
"publishConfig": {
"access": "public"
},
"repository": {
"type": "git",
"url": "git+https://github.com/marolinik/waggle-os.git",
"directory": "packages/hive-mind-cli"
},
"homepage": "https://github.com/marolinik/waggle-os/tree/main/packages/hive-mind-cli#readme",
"bugs": {
"url": "https://github.com/marolinik/waggle-os/issues"
},
"author": "Egzakta Group d.o.o. <hello@egzakta.com> (https://egzakta.com)",
"keywords": [
"cli",
"memory",
"hive-mind",
"harvest",
"wiki-compiler",
"ai",
"claude-code",
"mcp",
"windows-installer",
"doctor"
],
"types": "dist/index.d.ts"
}

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@@ -0,0 +1,135 @@
#!/usr/bin/env node
/**
* @waggle/hive-mind-cli postinstall — Wave 1 cleanup workaround.
*
* Per Wave 1 brief 2026-04-29 (LOCKED 2026-04-30) + feedback_memory_install_dead_simple binding:
* Solo $19/mo Waggle users must NOT face shell debug or .cmd shim awareness on first install.
*
* What this does:
* - On non-win32 (Linux + macOS): exits 0 immediately. No-op. Hook resolution works
* natively because POSIX resolves shebangs without `shell: true`.
* - On win32: detects whether the everything-claude-code marketplace plugin's
* mcp-health-check.js hook has the Wave 1 fix (presence of `spawnOptions.shell = true`
* in the win32 branch of probeCommandServer). If the fix is missing or the override
* at ~/.claude/scripts/hooks/mcp-health-check.js is missing/stale, drop a corrected
* copy at ~/.claude/scripts/hooks/mcp-health-check.js (user-override path takes
* precedence over plugin path in Claude Code's hook resolution order).
*
* Why: without this fix, child_process.spawn("hive-mind-cli", …) returns ENOENT on
* Windows because Windows requires cmd.exe to resolve npm-installed `.cmd` shims.
* The hook would mark hive-mind-cli "unhealthy" and quarantine it for the entire
* backoff window, blocking every MCP tool call until the quarantine expired —
* a zero-engagement failure mode that's unacceptable for a paid tier.
*
* Once upstream everything-claude-code merges the fix (PR materials in
* packages/hive-mind-hooks-claude-code/upstream-pr/), this override is no longer
* needed and can be cleaned up by deleting ~/.claude/scripts/hooks/mcp-health-check.js.
*
* License: Apache-2.0 (this script). The bundled mcp-health-check-fixed.js asset
* is MIT (originally by Affaan Mustafa, modified by Marko Markovic for the Wave 1
* win32 fix per commit cf6e6c5d on the everything-claude-code marketplace clone).
* MIT notice preserved in the asset's header.
*/
'use strict';
const fs = require('node:fs');
const os = require('node:os');
const path = require('node:path');
if (process.platform !== 'win32') {
// POSIX: zero-touch. Hook resolution works natively.
process.exit(0);
}
const HOME = os.homedir();
const CLAUDE_DIR = path.join(HOME, '.claude');
const MARKETPLACE_HOOK_PATH = path.join(
CLAUDE_DIR,
'plugins',
'marketplaces',
'everything-claude-code',
'scripts',
'hooks',
'mcp-health-check.js'
);
const USER_OVERRIDE_DIR = path.join(CLAUDE_DIR, 'scripts', 'hooks');
const USER_OVERRIDE_PATH = path.join(USER_OVERRIDE_DIR, 'mcp-health-check.js');
const BUNDLED_FIX_PATH = path.join(__dirname, 'assets', 'mcp-health-check-fixed.js');
function log(msg) {
console.log(`[hive-mind-cli postinstall] ${msg}`);
}
function fileContains(filePath, needle) {
try {
return fs.readFileSync(filePath, 'utf8').includes(needle);
} catch {
return false;
}
}
function ensureDir(dir) {
if (!fs.existsSync(dir)) {
fs.mkdirSync(dir, { recursive: true });
}
}
function dropOverride(reason) {
if (!fs.existsSync(BUNDLED_FIX_PATH)) {
log(`Bundled fix not found at ${BUNDLED_FIX_PATH}; skipping. Re-install hive-mind-cli to recover.`);
return;
}
ensureDir(USER_OVERRIDE_DIR);
// If a user override already exists with the fix, do nothing (idempotent).
if (fs.existsSync(USER_OVERRIDE_PATH) && fileContains(USER_OVERRIDE_PATH, 'spawnOptions.shell = true')) {
log('User override at ~/.claude/scripts/hooks/mcp-health-check.js already has the win32 .cmd fix. No changes needed.');
return;
}
// If a user override exists WITHOUT the fix, back it up so we don't blow it away.
if (fs.existsSync(USER_OVERRIDE_PATH)) {
const ts = new Date().toISOString().replace(/[:.]/g, '-');
const backupPath = `${USER_OVERRIDE_PATH}.backup-${ts}`;
fs.copyFileSync(USER_OVERRIDE_PATH, backupPath);
log(`Existing user override backed up to ${backupPath}`);
}
fs.copyFileSync(BUNDLED_FIX_PATH, USER_OVERRIDE_PATH);
log(`Wrote win32 .cmd-shim fix to ${USER_OVERRIDE_PATH} (${reason}).`);
log('This override takes precedence over the everything-claude-code plugin hook.');
log('Once upstream merges the fix (PR pending), you can delete this override.');
}
function detectAndPatch() {
// Case A: marketplace plugin hook present + already patched → no-op.
if (
fs.existsSync(MARKETPLACE_HOOK_PATH) &&
fileContains(MARKETPLACE_HOOK_PATH, 'spawnOptions.shell = true')
) {
log('everything-claude-code mcp-health-check.js already has the win32 .cmd fix. No override needed.');
return;
}
// Case B: marketplace plugin hook present but NOT patched → drop user override.
if (fs.existsSync(MARKETPLACE_HOOK_PATH)) {
dropOverride('detected unpatched everything-claude-code marketplace hook');
return;
}
// Case C: marketplace plugin not detected — drop override anyway as a safety net.
// The override only activates if Claude Code uses the user-hooks path; harmless
// if Claude Code is not installed or uses a different plugin layout.
dropOverride('preventive — no everything-claude-code marketplace detected, override dropped as safety net');
}
try {
detectAndPatch();
} catch (err) {
// Postinstall MUST NOT fail the npm install. Log + continue.
log(`Failed to apply win32 hook fix: ${err && err.message ? err.message : err}`);
log('hive-mind-cli is installed but you may see "spawn ENOENT" errors on first MCP call.');
log('Workaround: copy node_modules/@waggle/hive-mind-cli/assets/mcp-health-check-fixed.js to ~/.claude/scripts/hooks/mcp-health-check.js manually.');
log('Or run: hive-mind-cli doctor — to diagnose and self-recover.');
}

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/**
* `hive-mind-cli cognify` — extract entities and relations from recent
* frames into the knowledge graph. High-quality extraction requires an
* LLM, so this command is a deliberately small heuristic pass suitable
* for a nightly cron: it walks new frames, pulls capitalized noun
* phrases, normalizes them, and creates/updates KG entities. Callers
* who want richer extraction should run the MCP `save_entity` tool
* with an LLM-driven agent instead.
*/
import { openPersonalMind, type CliEnv } from '../setup.js';
import { normalizeEntityName } from '@waggle/hive-mind-core';
export interface CognifyOptions {
/** Process frames with id > since. Defaults to last cognify watermark or 0. */
since?: number;
limit?: number;
env?: CliEnv;
}
export interface CognifyResult {
framesScanned: number;
entitiesCreated: number;
entitiesUpdated: number;
lastFrameId: number;
}
// Heuristic: consecutive capitalised words with optional connectors.
// Deliberately conservative — we prefer to miss entities than to create noise.
const ENTITY_PATTERN = /\b([A-Z][a-zA-Z]+(?:\s+(?:de|of|&)\s+|\s+)[A-Z][a-zA-Z]+(?:\s+[A-Z][a-zA-Z]+)*)\b/g;
const SIMPLE_ENTITY_PATTERN = /\b([A-Z][a-zA-Z]{2,})\b/g;
// Skip common sentence-starts and pronouns that the naive regex catches.
const STOP_TOKENS = new Set([
'The', 'This', 'That', 'These', 'Those', 'When', 'Where', 'Why', 'How',
'What', 'Who', 'Which', 'If', 'And', 'But', 'Or', 'So', 'For', 'Nor',
'Yet', 'As', 'At', 'By', 'On', 'In', 'To', 'From', 'With', 'Without',
'Into', 'Onto', 'Upon', 'Over', 'Under', 'Between', 'Among',
]);
function extractCandidateEntities(text: string): string[] {
const seen = new Set<string>();
// Multi-word candidates first (more specific — Project Alpha, Acme Corp).
for (const match of text.matchAll(ENTITY_PATTERN)) {
const candidate = match[1].trim();
if (candidate.length >= 4) seen.add(candidate);
}
// Single-word candidates — filter stop words.
for (const match of text.matchAll(SIMPLE_ENTITY_PATTERN)) {
const candidate = match[1].trim();
if (STOP_TOKENS.has(candidate)) continue;
if (candidate.length < 3) continue;
seen.add(candidate);
}
return [...seen];
}
export async function runCognify(options: CognifyOptions = {}): Promise<CognifyResult> {
const env = options.env ?? openPersonalMind();
const close = options.env ? () => { /* caller owns */ } : env.close;
try {
const since = options.since ?? 0;
const limit = options.limit ?? 500;
const raw = env.db.getDatabase();
const frames = raw.prepare(
'SELECT id, content FROM memory_frames WHERE id > ? ORDER BY id ASC LIMIT ?',
).all(since, limit) as { id: number; content: string }[];
let entitiesCreated = 0;
let entitiesUpdated = 0;
let lastFrameId = since;
for (const frame of frames) {
lastFrameId = Math.max(lastFrameId, frame.id);
const candidates = extractCandidateEntities(frame.content);
for (const name of candidates) {
const normalized = normalizeEntityName(name);
if (normalized.length < 3) continue;
// Dedup by exact name match — we conservatively classify everything
// as 'concept' because the heuristic can't tell person from org reliably.
// Previously used searchEntities(name, 3), a LIKE '%name%' fuzzy search —
// once enough entities share a common substring, the exact match drops
// out of top-3 and dedup silently fails (runaway duplicate rows).
// findEntityByName is the indexed exact-name lookup.
// Reverse-ported from OSS hive-mind (oss-drift triage R2, 2026-06-11).
const existing = env.kg.findEntityByName(name);
if (existing) {
// Touch properties to bump "seen in frame" count for future ranking.
const existingProps = safeParse(existing.properties);
const seenCount = Number(existingProps.seen_count ?? 1) + 1;
env.kg.updateEntity(existing.id, {
properties: { ...existingProps, seen_count: seenCount },
});
entitiesUpdated++;
} else {
try {
env.kg.createEntity('concept', name, { seen_count: 1, source: 'cognify' });
entitiesCreated++;
} catch { /* validation may reject — skip */ }
}
}
}
return {
framesScanned: frames.length,
entitiesCreated,
entitiesUpdated,
lastFrameId,
};
} finally {
close();
}
}
function safeParse(raw: string | undefined | null): Record<string, unknown> {
if (!raw) return {};
try { return JSON.parse(raw) as Record<string, unknown>; } catch { return {}; }
}

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@@ -0,0 +1,68 @@
/**
* `hive-mind-cli compile-wiki` — run wiki compilation against the
* personal mind. Delegates to @waggle/hive-mind-wiki-compiler with the
* default env-driven synthesizer resolver (Anthropic → Ollama → echo).
*/
import { openPersonalMind, type CliEnv } from '../setup.js';
import {
WikiCompiler,
CompilationState,
resolveSynthesizer,
} from '@waggle/hive-mind-wiki-compiler';
export interface CompileWikiOptions {
mode?: 'incremental' | 'full';
concepts?: string[];
env?: CliEnv;
}
export interface CompileWikiResult {
provider: string;
model: string;
mode: 'incremental' | 'full';
pagesCreated: number;
pagesUpdated: number;
pagesUnchanged: number;
entityPages: string[];
conceptPages: string[];
synthesisPages: string[];
healthIssues: number;
durationMs: number;
}
export async function runCompileWiki(options: CompileWikiOptions = {}): Promise<CompileWikiResult> {
const env = options.env ?? openPersonalMind();
const close = options.env ? () => { /* caller owns */ } : env.close;
const mode = options.mode ?? 'incremental';
try {
const state = new CompilationState(env.db);
const search = await env.getSearch();
const synth = await resolveSynthesizer();
const compiler = new WikiCompiler(env.kg, env.frames, search, state, {
synthesize: synth.synthesize,
});
const result = await compiler.compile({
incremental: mode === 'incremental',
concepts: options.concepts,
});
return {
provider: synth.provider,
model: synth.model,
mode,
pagesCreated: result.pagesCreated,
pagesUpdated: result.pagesUpdated,
pagesUnchanged: result.pagesUnchanged,
entityPages: result.entityPages,
conceptPages: result.conceptPages,
synthesisPages: result.synthesisPages,
healthIssues: result.healthIssues,
durationMs: result.durationMs,
};
} finally {
close();
}
}

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/** Narrow HTTP client for one external agent's WaggleDance Room. */
export type DanceMessageType = 'broadcast' | 'request' | 'response';
export type DanceMessageSubtype =
| 'knowledge_check' | 'task_delegation' | 'skill_request' | 'model_recommendation'
| 'knowledge_match' | 'task_claim' | 'discovery' | 'routed_share'
| 'skill_share' | 'model_recipe';
const VALID_SUBTYPES: Record<DanceMessageType, ReadonlySet<DanceMessageSubtype>> = {
request: new Set(['knowledge_check', 'task_delegation', 'skill_request', 'model_recommendation']),
response: new Set(['knowledge_match', 'task_claim']),
broadcast: new Set(['discovery', 'routed_share', 'skill_share', 'model_recipe']),
};
export interface DanceTransportOptions {
env?: NodeJS.ProcessEnv;
fetch?: typeof globalThis.fetch;
timeoutMs?: number;
}
export interface DanceSendOptions extends DanceTransportOptions {
type: DanceMessageType;
subtype: DanceMessageSubtype;
message: string;
referenceId?: string;
}
export interface DanceReceiveOptions extends DanceTransportOptions {
since?: string;
limit?: number;
subtype?: DanceMessageSubtype;
}
export interface DanceSendResult {
sent: boolean;
message: Record<string, unknown>;
response?: unknown;
}
export interface DanceReceiveResult {
signals: Array<Record<string, unknown>>;
total: number;
}
export async function runDanceSend(options: DanceSendOptions): Promise<DanceSendResult> {
const message = options.message.trim();
if (!message) throw new Error('dance send requires --message');
if (!VALID_SUBTYPES[options.type]?.has(options.subtype)) {
throw new Error(`Invalid WaggleDance type/subtype: ${options.type}/${options.subtype}`);
}
const transport = resolveTransport(options.env ?? process.env);
const response = await request(transport, '/api/waggle-dance/signal', {
method: 'POST',
body: JSON.stringify({
type: options.type,
subtype: options.subtype,
content: { text: message, query: message, task: message },
referenceId: options.referenceId ?? null,
}),
}, options);
const body = response as { dispatched?: unknown; message?: unknown; response?: unknown };
if (body.dispatched !== true || !body.message || typeof body.message !== 'object') {
throw new Error('WaggleDance send returned an invalid response');
}
return {
sent: true,
message: body.message as Record<string, unknown>,
...(body.response !== undefined ? { response: body.response } : {}),
};
}
export async function runDanceReceive(options: DanceReceiveOptions = {}): Promise<DanceReceiveResult> {
const transport = resolveTransport(options.env ?? process.env);
const query = new URLSearchParams();
if (options.since) query.set('since', options.since);
if (options.subtype) query.set('subtype', options.subtype);
if (options.limit !== undefined) query.set('limit', String(Math.max(1, Math.min(500, options.limit))));
const suffix = query.size > 0 ? `?${query}` : '';
const response = await request(transport, `/api/waggle-dance/signals${suffix}`, { method: 'GET' }, options);
const body = response as { signals?: unknown; total?: unknown };
if (!Array.isArray(body.signals)) throw new Error('WaggleDance receive returned an invalid response');
return {
signals: body.signals.filter((value): value is Record<string, unknown> => Boolean(value && typeof value === 'object')),
total: typeof body.total === 'number' ? body.total : body.signals.length,
};
}
export function renderDanceSend(result: DanceSendResult): string {
const id = typeof result.message.id === 'string' ? result.message.id : 'unknown';
return `WaggleDance message sent (${id})`;
}
export function renderDanceReceive(result: DanceReceiveResult): string {
if (result.signals.length === 0) return 'No new WaggleDance messages.';
return result.signals.map((signal) => {
const subtype = typeof signal.subtype === 'string' ? signal.subtype : 'message';
const sender = typeof signal.senderId === 'string' ? signal.senderId : 'unknown';
const content = signal.content && typeof signal.content === 'object'
? JSON.stringify(signal.content)
: '';
return `[${subtype}] ${sender}: ${content}`;
}).join('\n');
}
function resolveTransport(env: NodeJS.ProcessEnv): { baseUrl: string; token: string } {
const rawUrl = env.WAGGLE_DANCE_URL?.trim();
const token = env.WAGGLE_RUN_TOKEN?.trim();
if (!rawUrl) throw new Error('WAGGLE_DANCE_URL is not set; this command is available inside a Waggle agent run');
if (!token) throw new Error('WAGGLE_RUN_TOKEN is not set; this command is available inside a Waggle agent run');
const url = new URL(rawUrl);
const loopback = new Set(['127.0.0.1', 'localhost', '::1', '[::1]']);
if (url.protocol !== 'http:' || !loopback.has(url.hostname) || url.username || url.password) {
throw new Error('WAGGLE_DANCE_URL must be an unauthenticated loopback http URL');
}
return { baseUrl: url.toString().replace(/\/$/, ''), token };
}
async function request(
transport: { baseUrl: string; token: string },
path: string,
init: RequestInit,
options: DanceTransportOptions,
): Promise<unknown> {
const fetchFn = options.fetch ?? globalThis.fetch;
const timeoutMs = Math.max(1_000, Math.min(options.timeoutMs ?? 10_000, 60_000));
const response = await fetchFn(`${transport.baseUrl}${path}`, {
...init,
signal: AbortSignal.timeout(timeoutMs),
headers: {
'content-type': 'application/json',
'x-waggle-run-token': transport.token,
...init.headers,
},
});
const text = await response.text();
let body: unknown;
try { body = text ? JSON.parse(text) : {}; }
catch { body = { message: text }; }
if (!response.ok) {
const detail = body && typeof body === 'object' && typeof (body as { message?: unknown }).message === 'string'
? (body as { message: string }).message
: `HTTP ${response.status}`;
throw new Error(`WaggleDance request failed: ${detail}`);
}
return body;
}

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@@ -0,0 +1,279 @@
/**
* `hive-mind-cli doctor` — self-diagnostic smoke test.
*
* Per Wave 1 brief 2026-04-29 §3.2:
* "Optional: register hive-mind-cli's own diagnostic command — `hive-mind-cli doctor` —
* that runs a smoke test (spawn self, save+recall a test frame, report fail/pass)
* without depending on the upstream hook being correct."
*
* What this does:
* 1. Verify the cli binary can spawn itself via child_process.spawn (catches
* Windows .cmd shim ENOENT bugs without depending on the upstream hook)
* 2. Open the personal mind via openPersonalMind() (catches sqlite + sqlite-vec
* runtime errors)
* 3. Save a test frame and recall it (catches FrameStore/HybridSearch wiring bugs)
* 4. Inspect mcp-health-cache.json for stale quarantine entries; clean if present
* 5. Report green ✓ / red ✗ + actionable next step
*
* Exit codes:
* 0 — green path, hive-mind-cli is healthy
* 1 — red path, at least one step failed (error printed with remediation)
*/
import * as fs from 'node:fs';
import * as path from 'node:path';
import * as os from 'node:os';
import { spawn } from 'node:child_process';
import { FrameStore, SessionStore, type Importance } from '@waggle/hive-mind-core';
import { openPersonalMind, resolveDataDir, type CliEnv } from '../setup.js';
export interface DoctorResult {
ok: boolean;
steps: DoctorStep[];
/** Actionable suggestion if ok=false. */
remediation?: string;
}
export interface DoctorStep {
name: string;
ok: boolean;
detail?: string;
errorMessage?: string;
}
/** Render a DoctorResult to plain text for terminal output. */
export function renderDoctorResult(result: DoctorResult): string {
const lines: string[] = [];
for (const step of result.steps) {
const marker = step.ok ? '✓' : '✗';
const tail = step.ok
? step.detail ? ` (${step.detail})` : ''
: step.errorMessage ? `${step.errorMessage}` : '';
lines.push(`[hive-mind-cli doctor] ${step.name}${marker}${tail}`);
}
if (result.ok) {
lines.push(`[hive-mind-cli doctor] PASS — hive-mind-cli is healthy on ${process.platform}. First MCP call should succeed.`);
} else {
lines.push(`[hive-mind-cli doctor] FAIL — see above for the failed step.`);
if (result.remediation) {
lines.push(`[hive-mind-cli doctor] Remediation: ${result.remediation}`);
}
}
return lines.join('\n');
}
async function spawnSelfProbe(): Promise<DoctorStep> {
return new Promise((resolve) => {
// Spawn a `node --version` to verify spawn works. We can't spawn the CLI
// itself (would recurse), but we verify the spawn surface works for the
// current platform's shim resolution. On win32, a missing shell:true would
// cause this to fail with ENOENT for npm-shimmed binaries.
const opts: Parameters<typeof spawn>[2] = {
stdio: ['ignore', 'pipe', 'pipe'],
};
if (process.platform === 'win32') {
opts.shell = true;
opts.windowsHide = true;
}
const child = spawn('node', ['--version'], opts);
let timed = false;
const timer = setTimeout(() => {
timed = true;
child.kill();
resolve({
name: 'Spawning Node child_process.spawn (Windows .cmd shim probe)',
ok: false,
errorMessage: 'spawn timeout (>5s) — system may be under heavy load or PATH misconfigured',
});
}, 5000);
let stderr = '';
child.stderr?.on('data', (chunk) => { stderr += String(chunk); });
child.on('error', (err) => {
clearTimeout(timer);
if (timed) return;
resolve({
name: 'Spawning Node child_process.spawn (Windows .cmd shim probe)',
ok: false,
errorMessage: `${err.message}${process.platform === 'win32' ? ' — likely .cmd shim ENOENT, re-run npm install -g @waggle/hive-mind-cli' : ''}`,
});
});
child.on('exit', (code) => {
clearTimeout(timer);
if (timed) return;
if (code === 0) {
resolve({
name: 'Spawning Node child_process.spawn (Windows .cmd shim probe)',
ok: true,
detail: process.platform,
});
} else {
resolve({
name: 'Spawning Node child_process.spawn (Windows .cmd shim probe)',
ok: false,
errorMessage: `node exited with code ${code}; stderr: ${stderr.slice(0, 100)}`,
});
}
});
});
}
async function frameRoundtripProbe(env: CliEnv): Promise<DoctorStep[]> {
const steps: DoctorStep[] = [];
const probeContent = `[doctor probe ${new Date().toISOString()}] hive-mind-cli self-test`;
// memory_frames.gop_id has a FOREIGN KEY to sessions.gop_id, so we must
// ensure a session exists before saving a frame. SessionStore.ensureActive
// creates one if missing (idempotent — same session ID returns).
const sessions = new SessionStore(env.db);
const session = sessions.ensureActive('doctor-probe');
// Save: create an I-frame using the active session's gop_id.
let frameId: number | null = null;
try {
const frames = new FrameStore(env.db);
const created = frames.createIFrame(
session.gop_id,
probeContent,
'temporary' as Importance,
'tool_verified',
);
frameId = created.id;
steps.push({ name: 'Saving probe frame to personal.mind', ok: true, detail: `frame ID ${frameId}` });
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
steps.push({ name: 'Saving probe frame to personal.mind', ok: false, errorMessage: msg });
return steps;
}
// Recall: getById lookup — no embedder needed, this is a direct sqlite read.
// Verifies the substrate roundtrip without depending on HybridSearch wiring
// or an embedder being configured (which the doctor cannot guarantee).
try {
const frames = new FrameStore(env.db);
const recovered = frames.getById(frameId);
if (!recovered) {
steps.push({
name: 'Recalling probe frame',
ok: false,
errorMessage: `Frame ${frameId} saved but getById returned undefined. SQLite may be corrupt or read isolation issue — run "hive-mind-cli maintenance reconcile-indexes".`,
});
} else if (recovered.content !== probeContent) {
steps.push({
name: 'Recalling probe frame',
ok: false,
errorMessage: `Frame ${frameId} content mismatch — substrate write/read roundtrip is corrupted. File an issue at marolinik/waggle-os.`,
});
} else {
steps.push({
name: 'Recalling probe frame',
ok: true,
detail: `roundtrip verified, content match`,
});
}
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
steps.push({ name: 'Recalling probe frame', ok: false, errorMessage: msg });
}
return steps;
}
function inspectAndCleanQuarantineCache(): DoctorStep {
const cachePath = path.join(os.homedir(), '.claude', 'mcp-health-cache.json');
if (!fs.existsSync(cachePath)) {
return { name: 'Checking mcp-health-cache.json', ok: true, detail: 'no cache (clean state)' };
}
try {
const cache = JSON.parse(fs.readFileSync(cachePath, 'utf8'));
const quarantines = cache?.failureQuarantines ?? cache?.quarantines ?? {};
const hiveMindQuarantine = quarantines['hive-mind'] || quarantines['hive-mind-cli'];
if (hiveMindQuarantine) {
// Clean the entry so first MCP call succeeds without waiting for backoff expiry.
delete quarantines['hive-mind'];
delete quarantines['hive-mind-cli'];
fs.writeFileSync(cachePath, JSON.stringify(cache, null, 2));
return {
name: 'Checking mcp-health-cache.json',
ok: true,
detail: 'cleaned stale hive-mind quarantine entry',
};
}
return { name: 'Checking mcp-health-cache.json', ok: true, detail: 'clean' };
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
return {
name: 'Checking mcp-health-cache.json',
ok: false,
errorMessage: `cache file unreadable: ${msg}. Manually delete ${cachePath} to recover.`,
};
}
}
export interface DoctorOptions {
/** Optional opened CliEnv. If omitted, doctor opens personal.mind lazily via openPersonalMind() — same pattern as status command. */
env?: CliEnv;
dataDir?: string;
}
export async function runDoctor(opts: DoctorOptions = {}): Promise<DoctorResult> {
const steps: DoctorStep[] = [];
// Step 1: spawn probe (catches Windows .cmd shim ENOENT)
steps.push(await spawnSelfProbe());
// Step 2-3: frame save+recall — lazy-open env if not provided.
let env: CliEnv | null = opts.env ?? null;
let envOpenedHere = false;
if (!env) {
const dataDir = opts.dataDir ?? resolveDataDir();
const personalMindPath = path.join(dataDir, 'personal.mind');
if (!fs.existsSync(personalMindPath)) {
steps.push({
name: 'Saving probe frame to personal.mind',
ok: false,
errorMessage: `personal.mind not found at ${personalMindPath}. Run "hive-mind-cli init" first.`,
});
const ok = false;
return {
ok,
steps,
remediation: 'Run "hive-mind-cli init" to scaffold the data dir + personal.mind, then re-run doctor.',
};
}
env = openPersonalMind(dataDir);
envOpenedHere = true;
}
const roundtrip = await frameRoundtripProbe(env);
steps.push(...roundtrip);
// If we opened the env here, close it back so we don't leak handles.
if (envOpenedHere && env.db && typeof (env.db as unknown as { close?: () => void }).close === 'function') {
try {
(env.db as unknown as { close: () => void }).close();
} catch {
// ignore close errors — substrate cleanup, not user-facing
}
}
// Step 4: clean stale quarantine
steps.push(inspectAndCleanQuarantineCache());
const ok = steps.every((s) => s.ok);
let remediation: string | undefined;
if (!ok) {
const firstFail = steps.find((s) => !s.ok);
if (firstFail) {
if (firstFail.name.startsWith('Spawning')) {
remediation = 'Re-run `npm install -g @waggle/hive-mind-cli` to re-trigger the postinstall override on Windows. If that doesn\'t help, see packages/hive-mind-cli/docs/WINDOWS-QUIRKS.md.';
} else if (firstFail.name.startsWith('Saving') || firstFail.name.startsWith('Recalling')) {
remediation = 'Run `hive-mind-cli maintenance reconcile-indexes` to repair FTS5/vec0 desync. If error persists, file an issue at marolinik/waggle-os.';
} else {
remediation = 'Manually inspect ~/.claude/mcp-health-cache.json — see packages/hive-mind-cli/docs/WINDOWS-QUIRKS.md for guidance.';
}
}
}
return { ok, steps, remediation };
}

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@@ -0,0 +1,399 @@
/**
* Regression tests for the timestamp-preservation fix in runHarvestLocal.
*
* Context: Stage 0 Dogfood (2026-04-20 → 2026-04-21) surfaced that
* `memory_frames.created_at` on harvested frames was the ingest
* wall-clock, not the original source timestamp. Date-scoped queries
* ("what happened in December 2025") returned abstains because the
* substrate had no valid temporal anchor to reason over. Root cause
* landed in PM response §3.1:
* PM-Waggle-OS/sessions/2026-04-21-preflight-stage-0-pm-response.md
*
* The fix passes `item.timestamp` from the adapter through to
* `FrameStore.createIFrame(..., createdAt)`. These tests are the P0
* guardrail the PM response §4 + Sprint 9 Task 0 acceptance gate
* require before Task 0 can be declared PASS — without them the same
* regression could recur silently through any future harvest refactor.
*
* Three mandatory scenarios, each maps to a Sprint 9 Task 0
* acceptance-gate clause:
* 1. Valid ISO-8601 timestamp round-trips byte-exact into created_at.
* 2. undefined timestamp triggers NOW() fallback + warn log whose
* body names the adapter source and item id.
* 3. Malformed timestamp string ("not-a-valid-iso-string") goes
* through the same fallback path as undefined — no exception
* bubbles out of the harvest loop.
*/
import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
import { mkdtempSync, rmSync, writeFileSync } from 'node:fs';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { openPersonalMind, type CliEnv } from '../setup.js';
import { runHarvestLocal } from './harvest-local.js';
// Each test writes a bespoke Claude-shaped JSON to a temp file, runs the
// adapter against it, then queries memory_frames to verify the stored
// created_at. Using Claude shape because ClaudeAdapter is the one
// confirmed-live adapter from Stage 0, and its timestamp surface
// (`conv.created_at` → UniversalImportItem.timestamp) is the
// production path the fix is protecting.
function writeClaudeExport(dir: string, convCreatedAt: string | null | undefined): string {
const conversations = [
{
uuid: 'test-conv-001',
name: 'Timestamp preservation regression fixture',
created_at: convCreatedAt,
chat_messages: [
{
sender: 'human',
text: 'Placeholder user turn so the adapter emits at least one item.',
created_at: convCreatedAt ?? '2026-04-21T00:00:00Z',
},
{
sender: 'assistant',
text: 'Placeholder assistant turn.',
created_at: convCreatedAt ?? '2026-04-21T00:00:01Z',
},
],
},
];
const p = join(dir, 'export.json');
writeFileSync(p, JSON.stringify({ conversations }), 'utf-8');
return p;
}
function fetchCreatedAt(env: CliEnv): { id: number; created_at: string } | undefined {
// The fixture writes exactly one frame; we just read back the most
// recent one so the test is tolerant to dedup behavior on repeat
// invocations.
return env.db
.getDatabase()
.prepare('SELECT id, created_at FROM memory_frames ORDER BY id DESC LIMIT 1')
.get() as { id: number; created_at: string } | undefined;
}
// ── Task 0.5 preview-cap regression fixture helper ─────────────────────
/** Builds a Claude-shaped export whose assistant message has a known
* length. Used by the preview-cap boundary tests below — the stored
* preview should track the new 10_000-char cap exactly. */
function writeClaudeExportWithAssistantLength(dir: string, assistantLen: number): string {
// Assistant content is a predictable string of `assistantLen` chars
// built from a repeated 10-char marker. We read back the stored
// frame content and assert its length relative to the cap.
const marker = 'ABCDEFGHIJ';
const repeats = Math.ceil(assistantLen / marker.length);
const assistantText = marker.repeat(repeats).slice(0, assistantLen);
const conversations = [
{
uuid: 'preview-cap-test-conv',
name: 'Preview cap boundary fixture',
created_at: '2025-12-01T14:00:00Z',
chat_messages: [
{ sender: 'human', text: 'short user prompt', created_at: '2025-12-01T14:00:00Z' },
{ sender: 'assistant', text: assistantText, created_at: '2025-12-01T14:00:01Z' },
],
},
];
const p = join(dir, `export-len-${assistantLen}.json`);
writeFileSync(p, JSON.stringify({ conversations }), 'utf-8');
return p;
}
describe('harvest-local preview cap raise (Sprint 9 Task 0.5 boundary cases)', () => {
let dataDir: string;
let fixtureDir: string;
let env: CliEnv;
beforeEach(() => {
dataDir = mkdtempSync(join(tmpdir(), 'hmind-preview-cap-test-'));
fixtureDir = mkdtempSync(join(tmpdir(), 'hmind-preview-cap-fx-'));
env = openPersonalMind(dataDir);
});
afterEach(() => {
env.close();
try { rmSync(dataDir, { recursive: true, force: true }); } catch { /* ignore */ }
try { rmSync(fixtureDir, { recursive: true, force: true }); } catch { /* ignore */ }
});
// The stored frame content is `[claude] ${title}: ${preview}` — we
// account for the prefix length when computing the expected body
// size so the cap math is unambiguous.
const CLAUDE_PREFIX_LEN =
'[claude] Preview cap boundary fixture: user: short user prompt\n\nassistant: '.length;
const CAP = 10_000;
it('frame content at exactly CAP-1 chars of assistant body is stored whole (no truncation)', async () => {
const assistantLen = CAP - CLAUDE_PREFIX_LEN - 1;
// The adapter joins messages with `\n\n` inside content; the preview
// slicer runs on the full `item.content` string which already
// contains the "role: text\n\nrole: text" composition. Under the cap
// means the stored preview equals the full composed string.
const exportPath = writeClaudeExportWithAssistantLength(fixtureDir, assistantLen);
await runHarvestLocal({ source: 'claude', path: exportPath, env });
const stored = env.db.getDatabase()
.prepare('SELECT content FROM memory_frames ORDER BY id DESC LIMIT 1')
.get() as { content: string };
// Stored content ≤ CAP in total (prefix + title + ": " + preview).
expect(stored.content.length).toBeLessThanOrEqual(CAP + CLAUDE_PREFIX_LEN);
// Body contains the full assistant text (marker string repeated).
expect(stored.content).toContain('ABCDEFGHIJABCDEFGHIJ');
});
it('frame content at exactly CAP chars of assistant body is stored whole', async () => {
const assistantLen = CAP - CLAUDE_PREFIX_LEN;
const exportPath = writeClaudeExportWithAssistantLength(fixtureDir, assistantLen);
await runHarvestLocal({ source: 'claude', path: exportPath, env });
const stored = env.db.getDatabase()
.prepare('SELECT content FROM memory_frames ORDER BY id DESC LIMIT 1')
.get() as { content: string };
// Assistant-text length close to CAP; stored preview must not drop
// any chars below the cap.
expect(stored.content.length).toBeGreaterThanOrEqual(CAP - 200); // allow for title / prefix wiggle
expect(stored.content.length).toBeLessThanOrEqual(CAP + CLAUDE_PREFIX_LEN + 100);
});
it('frame content at CAP+1 chars is truncated exactly at the cap boundary', async () => {
const assistantLen = CAP + 500; // comfortably past the cap
const exportPath = writeClaudeExportWithAssistantLength(fixtureDir, assistantLen);
await runHarvestLocal({ source: 'claude', path: exportPath, env });
const stored = env.db.getDatabase()
.prepare('SELECT content FROM memory_frames ORDER BY id DESC LIMIT 1')
.get() as { content: string };
// The preview slicer takes first CAP chars of item.content — the
// stored frame content is `[claude] <title>: <preview>` where
// preview has exactly CAP chars. Total stored length should be
// prefix + CAP.
expect(stored.content.length).toBeLessThanOrEqual(CAP + CLAUDE_PREFIX_LEN + 100);
expect(stored.content.length).toBeGreaterThanOrEqual(CAP - 100);
});
it('frame content far past the cap (CAP*10) still ingests without memory blowup', async () => {
// Guard against an accidental N² copy path or full-string retention
// when the input is much larger than the cap. 100K char input
// should ingest in the same time budget as a 10K input.
const assistantLen = CAP * 10;
const exportPath = writeClaudeExportWithAssistantLength(fixtureDir, assistantLen);
const before = Date.now();
const result = await runHarvestLocal({ source: 'claude', path: exportPath, env });
const elapsed = Date.now() - before;
expect(result.errors).toEqual([]);
expect(result.framesCreated).toBe(1);
// Should complete well under 5s even on a slow CI box. Guard rail
// value — if this ever takes longer, a N² regression snuck in.
expect(elapsed).toBeLessThan(5000);
const stored = env.db.getDatabase()
.prepare('SELECT content FROM memory_frames ORDER BY id DESC LIMIT 1')
.get() as { content: string };
expect(stored.content.length).toBeLessThanOrEqual(CAP + CLAUDE_PREFIX_LEN + 100);
});
it('original content past the cap is dropped — retrieval can only see the preview', async () => {
// Canary test: if someone changes the cap from 10_000 without
// updating retrieval to use a full-content column, this test
// catches the drop. A sentinel string at position CAP+500 in the
// assistant body must NOT appear in the stored frame content.
const SENTINEL = 'PAST_CAP_SENTINEL_STRING_DO_NOT_DROP_SILENTLY';
const marker = 'abcdefghij';
// Front-load CAP+200 chars of filler, then embed the sentinel, then
// trailing filler. Assistant text = filler + sentinel + trailing.
const filler = marker.repeat(Math.ceil((CAP + 200) / marker.length)).slice(0, CAP + 200);
const assistantText = filler + SENTINEL + marker.repeat(100);
const conversations = [
{
uuid: 'sentinel-test',
name: 'Sentinel past cap',
created_at: '2025-12-01T14:00:00Z',
chat_messages: [
{ sender: 'human', text: 'ping', created_at: '2025-12-01T14:00:00Z' },
{ sender: 'assistant', text: assistantText, created_at: '2025-12-01T14:00:01Z' },
],
},
];
const p = join(fixtureDir, 'sentinel.json');
writeFileSync(p, JSON.stringify({ conversations }), 'utf-8');
await runHarvestLocal({ source: 'claude', path: p, env });
const stored = env.db.getDatabase()
.prepare('SELECT content FROM memory_frames ORDER BY id DESC LIMIT 1')
.get() as { content: string };
expect(stored.content).not.toContain(SENTINEL);
});
});
describe('harvest-local timestamp preservation (Sprint 9 Task 0 P0 regression)', () => {
let dataDir: string;
let fixtureDir: string;
let env: CliEnv;
let warnSpy: ReturnType<typeof vi.spyOn>;
beforeEach(() => {
dataDir = mkdtempSync(join(tmpdir(), 'hmind-harvest-ts-test-'));
fixtureDir = mkdtempSync(join(tmpdir(), 'hmind-harvest-fx-'));
env = openPersonalMind(dataDir);
warnSpy = vi.spyOn(console, 'warn').mockImplementation(() => { /* swallow for assertion */ });
});
afterEach(() => {
env.close();
warnSpy.mockRestore();
try { rmSync(dataDir, { recursive: true, force: true }); } catch { /* ignore */ }
try { rmSync(fixtureDir, { recursive: true, force: true }); } catch { /* ignore */ }
});
it('valid ISO-8601 timestamp round-trips exactly into memory_frames.created_at', async () => {
const ts = '2025-12-01T14:32:00Z';
const exportPath = writeClaudeExport(fixtureDir, ts);
const result = await runHarvestLocal({ source: 'claude', path: exportPath, env });
expect(result.errors).toEqual([]);
expect(result.framesCreated).toBe(1);
const row = fetchCreatedAt(env);
expect(row).toBeDefined();
expect(row!.created_at).toBe(ts);
// No fallback warn should have fired for the valid-timestamp path.
expect(warnSpy).not.toHaveBeenCalled();
});
it('undefined timestamp falls back to ingest wall-clock and warns with adapter source + item id', async () => {
// ClaudeAdapter substitutes new Date().toISOString() when conv.created_at
// is missing, so to truly exercise the undefined branch we write a
// conversation with a missing created_at AND assert the warn log
// contains the adapter's identification. In practice the fallback
// fires when the adapter itself returns an undefined (e.g. some
// Wave-3B adapters whose shape has no timestamp field at all).
//
// For the regression-test contract we stub `item.timestamp` to
// undefined directly by simulating the harvest loop invariant: the
// warn path must fire when `typeof item.timestamp !== 'string'`,
// regardless of how the adapter arrived there.
// ClaudeAdapter will default `timestamp` to NOW() when conv.created_at
// is missing — so instead we directly construct a universal item
// with timestamp=undefined and route through runHarvestLocal using
// UniversalAdapter which honors whatever shape we hand it.
const itemPath = join(fixtureDir, 'universal-no-ts.json');
writeFileSync(
itemPath,
JSON.stringify({
// UniversalAdapter path: bare conversation array with no timestamp
// field so `item.timestamp` ends up undefined when it lands in
// harvest-local's loop.
conversations: [
{
title: 'Undefined timestamp fixture',
// Deliberately no createTime / created_at / timestamp field.
messages: [
{ role: 'user', text: 'placeholder' },
{ role: 'model', text: 'placeholder reply' },
],
},
],
}),
'utf-8',
);
const before = Date.now();
const result = await runHarvestLocal({ source: 'universal', path: itemPath, env });
const after = Date.now();
// Adapter may or may not assign a default timestamp; either way, if it
// ended up undefined the warn must fire, and if it ended up a valid
// ISO the fallback isn't exercised — so we only assert the
// conditional invariant that matches the observed path.
const row = fetchCreatedAt(env);
expect(row).toBeDefined();
const parsed = Date.parse(row!.created_at);
expect(Number.isFinite(parsed)).toBe(true);
if (warnSpy.mock.calls.length > 0) {
// Fallback path was exercised (adapter returned undefined timestamp).
// Warn body must name the adapter source and item id for trace.
const message = warnSpy.mock.calls.map(c => String(c[0])).join('\n');
expect(message).toMatch(/missing timestamp/);
expect(message).toMatch(/source=/);
expect(message).toMatch(/id=/);
// Fallback created_at must be within 5s of the ingest wall-clock.
// SQLite CURRENT_TIMESTAMP returns UTC in "YYYY-MM-DD HH:MM:SS" form —
// handle both that and our ISO overrides.
const createdMs = Date.parse(row!.created_at.replace(' ', 'T') + (row!.created_at.endsWith('Z') ? '' : 'Z'));
expect(createdMs).toBeGreaterThanOrEqual(before - 5000);
expect(createdMs).toBeLessThanOrEqual(after + 5000);
// errors array should also surface the fallback count.
expect(result.errors.some(e => /timestamp fallback applied/.test(e))).toBe(true);
} else {
// Adapter populated timestamp itself — assert valid ISO and
// `runHarvestLocal` did not silently lose data.
expect(result.errors).toEqual([]);
expect(row!.created_at).toMatch(/^\d{4}-\d{2}-\d{2}T/);
}
});
it('malformed timestamp string goes through the same fallback path as undefined (no exception)', async () => {
// Direct unit-level coverage of the fallback branch regardless of
// adapter behavior: construct a bare universal export where the
// conversations carry a deliberately invalid created_at string. The
// UniversalAdapter respects the field, so `item.timestamp` becomes
// the malformed string, and runHarvestLocal's validator rejects it.
const malformed = 'not-a-valid-iso-string';
const itemPath = join(fixtureDir, 'universal-bad-ts.json');
writeFileSync(
itemPath,
JSON.stringify({
conversations: [
{
title: 'Malformed timestamp fixture',
created_at: malformed,
messages: [
{ role: 'user', text: 'placeholder', timestamp: malformed },
{ role: 'assistant', text: 'ok', timestamp: malformed },
],
},
],
}),
'utf-8',
);
// Must not throw — fallback path must contain the error rather than
// bubbling it out to the caller. Stage 0 re-harvest pass depends on
// this because real exports occasionally carry mangled timestamps
// (export tool bugs, locale drift).
let threw = false;
try {
const result = await runHarvestLocal({ source: 'universal', path: itemPath, env });
// We intentionally don't assert on result.framesCreated because
// UniversalAdapter's timestamp fallback at adapter layer may emit
// its own ISO default, which would mean the runHarvestLocal warn
// path is not exercised for this particular fixture. The
// invariant we DO assert is that NO exception escapes.
expect(result).toBeDefined();
} catch (err) {
threw = true;
}
expect(threw).toBe(false);
// If the warn did fire (adapter forwarded the malformed value into
// item.timestamp without sanitizing), its body must name the
// malformed input so a log grep can diagnose the adapter gap.
if (warnSpy.mock.calls.length > 0) {
const message = warnSpy.mock.calls.map(c => String(c[0])).join('\n');
expect(message).toMatch(/missing timestamp/);
// Invalid-input disclosure is part of the contract from
// harvest-local.ts's warn format — present only on the "invalid
// ISO" branch, not on "undefined".
expect(message).toMatch(/invalid input/);
}
// Most importantly: the stored created_at must be a parseable date,
// never the literal "not-a-valid-iso-string" — that would corrupt
// downstream range queries and is the regression we're guarding.
const row = fetchCreatedAt(env);
expect(row).toBeDefined();
expect(row!.created_at).not.toBe(malformed);
const createdMs = Date.parse(row!.created_at.replace(' ', 'T') + (row!.created_at.endsWith('Z') ? '' : 'Z'));
expect(Number.isFinite(createdMs)).toBe(true);
});
});

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/**
* `hive-mind-cli harvest-local` — run one of the built-in harvest
* adapters against a local file or directory. Unlike the MCP
* harvest_import tool (which takes JSON inline), this variant always
* reads from disk.
*/
import fs from 'node:fs';
import path from 'node:path';
import {
ChatGPTAdapter,
ClaudeAdapter,
ClaudeCodeAdapter,
GeminiAdapter,
UniversalAdapter,
SuppressionStore,
type UniversalImportItem,
} from '@waggle/hive-mind-core';
import { openPersonalMind, type CliEnv } from '../setup.js';
/** Narrower ISO-8601 validator than `Date.parse` alone — we require the
* `T` separator and a timezone suffix so downstream range queries on
* `created_at` aren't corrupted by "mostly ISO" shapes ("2024-03-01",
* "2024/03/01 11:00:00") that Date.parse will happily accept. */
function isIsoTimestamp(value: string): boolean {
if (!/^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?(?:Z|[+-]\d{2}:?\d{2})$/.test(value)) {
return false;
}
return Number.isFinite(Date.parse(value));
}
export type HarvestSource = 'chatgpt' | 'claude' | 'claude-code' | 'gemini' | 'universal';
export interface HarvestLocalOptions {
source: HarvestSource;
path: string;
env?: CliEnv;
}
export interface HarvestLocalResult {
source: HarvestSource;
path: string;
itemsFound: number;
framesCreated: number;
duplicatesSkipped: number;
/** #7 sticky erasure: items skipped because their (source, id) is on the erased-subject list. */
suppressedSkipped: number;
errors: string[];
}
function parseWithAdapter(source: HarvestSource, pathOrJson: string): UniversalImportItem[] {
const errors: string[] = [];
// claude-code is filesystem-based; every other adapter parses JSON text.
if (source === 'claude-code') {
const adapter = new ClaudeCodeAdapter();
return adapter.scan(pathOrJson);
}
let raw: string;
try {
const stat = fs.statSync(pathOrJson);
if (stat.isDirectory()) {
errors.push(`Path is a directory — ${source} expects a JSON export file`);
throw new Error(errors[0]);
}
raw = fs.readFileSync(pathOrJson, 'utf-8');
} catch (err) {
throw new Error(
`Failed to read ${pathOrJson}: ${err instanceof Error ? err.message : String(err)}`,
);
}
let parsed: unknown;
try {
parsed = JSON.parse(raw);
} catch (err) {
throw new Error(
`Failed to parse ${pathOrJson} as JSON: ${err instanceof Error ? err.message : String(err)}`,
);
}
switch (source) {
case 'chatgpt': return new ChatGPTAdapter().parse(parsed);
case 'claude': return new ClaudeAdapter().parse(parsed);
case 'gemini': return new GeminiAdapter().parse(parsed);
case 'universal': return new UniversalAdapter().parse(parsed);
}
}
export async function runHarvestLocal(options: HarvestLocalOptions): Promise<HarvestLocalResult> {
const env = options.env ?? openPersonalMind();
const close = options.env ? () => { /* caller owns */ } : env.close;
const errors: string[] = [];
try {
const resolved = path.resolve(options.path);
if (!fs.existsSync(resolved)) {
return {
source: options.source,
path: resolved,
itemsFound: 0,
framesCreated: 0,
duplicatesSkipped: 0,
suppressedSkipped: 0,
errors: [`Path not found: ${resolved}`],
};
}
let items: UniversalImportItem[];
try {
items = parseWithAdapter(options.source, resolved);
} catch (err) {
return {
source: options.source,
path: resolved,
itemsFound: 0,
framesCreated: 0,
duplicatesSkipped: 0,
suppressedSkipped: 0,
errors: [err instanceof Error ? err.message : String(err)],
};
}
if (items.length === 0) {
return {
source: options.source,
path: resolved,
itemsFound: 0,
framesCreated: 0,
duplicatesSkipped: 0,
suppressedSkipped: 0,
errors: [`No items parsed from ${options.source} source`],
};
}
const session = env.sessions.ensure(
`harvest:${options.source}`,
undefined,
`Harvest import from ${options.source} (${path.basename(resolved)})`,
);
// Record max frame id before the batch — FrameStore.createIFrame dedups by
// content, so a "not new" frame returns an older id. id-based detection is
// format-agnostic; comparing timestamps here would trip on the mismatch
// between JS's ISO format and SQLite's space-separated datetime('now').
const raw = env.db.getDatabase();
const maxBefore =
(raw.prepare('SELECT COALESCE(MAX(id), 0) AS m FROM memory_frames').get() as { m: number }).m;
let framesCreated = 0;
let duplicatesSkipped = 0;
let suppressedSkipped = 0;
let timestampFallbacks = 0;
// #7 sticky erasure: this CLI seam writes to the SAME personal mind as the
// guarded MCP/route harvest paths, so it must consult the same suppression list
// or a re-import here would re-materialize an Art.17-erased subject.
const suppression = new SuppressionStore(env.db);
for (const item of items) {
if (suppression.isSuppressed(item.source, item.id)) { suppressedSkipped++; continue; }
// Sprint 9 Task 0.5: preview cap raised from 2000 → 10_000 chars.
// Rationale: the 2000-char cap surfaced as the dominant secondary
// failure mode after the Task 0 timestamp fix (Stage 0 re-run on
// 2026-04-21 produced Tier 3 FAIL on Q1 because the detailed
// editorial analysis sat past the 2000-char window on the
// correctly-retrieved December 2025 frames). 10_000 is the
// "option (a) simple raise" target from PM response §2.1 —
// cheapest fix that unblocks extractive Q&A on real Claude
// export sessions (median Marko-side session ~15K chars opening;
// 10K covers the session setup + editor-persona context + first
// substantive assistant response, which is where the dated
// structural elements live). Option (b) content-column
// extension and option (c) rank-warranted expansion remain
// queued for Sprint 10+ if this raise leaves residual gaps.
const PREVIEW_CAP_CHARS = 10_000;
const preview = item.content.slice(0, PREVIEW_CAP_CHARS);
const content = item.title
? `[${item.source}] ${item.title}: ${preview}`
: `[${item.source}] ${preview}`;
// Preserve the original source timestamp (e.g. Claude `create_time`,
// ChatGPT `created_at`) on the resulting frame so downstream
// date-scoped retrieval has a valid temporal anchor. Every adapter
// already surfaces `item.timestamp` on the UniversalImportItem;
// prior to this fix the harvest path discarded it and
// `memory_frames.created_at` defaulted to ingest wall-clock, which
// made questions like "what happened in December 2025" unanswerable
// against frames harvested in April 2026.
//
// Fallback is explicit, never silent:
// - valid ISO-8601 string → passed through to createIFrame
// - null / undefined / malformed → fallback to NOW() via schema
// default + console.warn that names the adapter source and
// item id so Wave-3D adapter reviews can trace the gap.
const providedTimestamp = typeof item.timestamp === 'string' ? item.timestamp : undefined;
const useProvidedTs = providedTimestamp !== undefined && isIsoTimestamp(providedTimestamp);
if (!useProvidedTs) {
timestampFallbacks++;
console.warn(
`[harvest-local] missing timestamp — falling back to NOW() for item ` +
`source=${item.source} id=${item.id}${providedTimestamp !== undefined ? ` (invalid input: "${providedTimestamp}")` : ''}`,
);
}
const frame = env.frames.createIFrame(
session.gop_id,
content,
'normal',
'import',
useProvidedTs ? providedTimestamp : null,
);
if (frame.id > maxBefore) framesCreated++;
else duplicatesSkipped++;
}
if (timestampFallbacks > 0) {
errors.push(
`timestamp fallback applied to ${timestampFallbacks} item(s); see warn logs for details`,
);
}
// Track in the harvest source store for later "harvest_sources" listing.
try {
env.harvestSources.upsert(
options.source as Parameters<typeof env.harvestSources.upsert>[0],
options.source,
resolved,
);
env.harvestSources.recordSync(
options.source as Parameters<typeof env.harvestSources.recordSync>[0],
items.length,
framesCreated,
);
} catch (err) {
errors.push(`harvest source tracking failed: ${err instanceof Error ? err.message : String(err)}`);
}
return {
source: options.source,
path: resolved,
itemsFound: items.length,
framesCreated,
duplicatesSkipped,
suppressedSkipped,
errors,
};
} finally {
close();
}
}

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/**
* `hive-mind-cli init` — idempotent workspace scaffolding.
*
* Creates HIVE_MIND_DATA_DIR (or ~/.hive-mind) if missing, then opens
* personal.mind so the SQLite schema + FTS5 + vec0 tables are initialised.
* Safe to run repeatedly.
*/
import fs from 'node:fs';
import path from 'node:path';
import { openPersonalMind, resolveDataDir, type CliEnv } from '../setup.js';
export interface InitOptions {
/** Override for tests — use an already-open env instead of opening a new one. */
env?: CliEnv;
/** Override the target data dir (else resolveDataDir()). */
dataDir?: string;
}
export interface InitResult {
dataDir: string;
personalMindPath: string;
personalMindCreated: boolean;
dataDirCreated: boolean;
}
export async function runInit(options: InitOptions = {}): Promise<InitResult> {
const dataDir = options.env?.dataDir ?? options.dataDir ?? resolveDataDir();
const personalMindPath = path.join(dataDir, 'personal.mind');
const dataDirCreated = !fs.existsSync(dataDir);
const personalMindCreated = !fs.existsSync(personalMindPath);
// openPersonalMind is idempotent — it creates the dir + opens/initialises the DB.
const env = options.env ?? openPersonalMind(dataDir);
const close = options.env ? () => { /* caller owns */ } : env.close;
try {
return {
dataDir: env.dataDir,
personalMindPath,
personalMindCreated,
dataDirCreated,
};
} finally {
close();
}
}
export function renderInitResult(result: InitResult, format: 'plain' | 'json' = 'plain'): string {
if (format === 'json') {
return JSON.stringify(result, null, 2);
}
const lines: string[] = [];
if (result.dataDirCreated) {
lines.push(`Created data dir: ${result.dataDir}`);
} else {
lines.push(`Data dir exists: ${result.dataDir}`);
}
if (result.personalMindCreated) {
lines.push(`Created personal mind: ${result.personalMindPath}`);
} else {
lines.push(`Personal mind exists: ${result.personalMindPath}`);
}
lines.push('');
lines.push('Ready. Try:');
lines.push(' hive-mind-cli status');
lines.push(' hive-mind-cli save-session --file PATH --session-label "first session"');
lines.push(' hive-mind-cli recall-context "what you want to find"');
return lines.join('\n');
}

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import { afterEach, beforeEach, describe, expect, it } from 'vitest';
import { mkdtempSync, rmSync } from 'node:fs';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { openPersonalMind, type CliEnv } from '../setup.js';
import { runMaintenance } from './maintenance.js';
/**
* Coverage for the reverse-ported maintenance surface (reembed-all,
* rechunk-all, dedupe-entities, --workspace / --all-workspaces) — the
* runMaintenanceOnMind refactor. Ported from hive-mind a99ea0e.
*
* The embedder is forced to `mock` so the tests are deterministic and never
* probe Ollama / download the in-process model in CI.
*/
describe('maintenance (per-mind dispatch)', () => {
let dataDir: string;
let env: CliEnv;
let prevProvider: string | undefined;
beforeEach(() => {
prevProvider = process.env.HIVE_MIND_EMBEDDING_PROVIDER;
process.env.HIVE_MIND_EMBEDDING_PROVIDER = 'mock';
dataDir = mkdtempSync(join(tmpdir(), 'hmind-cli-maint-'));
env = openPersonalMind(dataDir);
env.db.getDatabase().prepare(
"INSERT INTO sessions (gop_id, status, started_at) VALUES ('g-maint', 'active', datetime('now'))",
).run();
env.frames.createIFrame('g-maint', 'Alice works at Acme Corp on Project Alpha', 'important', 'user_stated');
env.frames.createIFrame('g-maint', 'Bob prefers TypeScript over JavaScript for backend work', 'normal', 'user_stated');
});
afterEach(() => {
env.close();
if (prevProvider === undefined) delete process.env.HIVE_MIND_EMBEDDING_PROVIDER;
else process.env.HIVE_MIND_EMBEDDING_PROVIDER = prevProvider;
try { rmSync(dataDir, { recursive: true, force: true }); } catch { /* ignore */ }
});
it('dedupe-entities returns a group/merged result on the personal mind', async () => {
const result = await runMaintenance({ dedupeEntities: true, env });
expect(result.dedupeEntities).toBeDefined();
expect(typeof result.dedupeEntities!.groups).toBe('number');
expect(typeof result.dedupeEntities!.merged).toBe('number');
expect(result.durationMs).toBeGreaterThanOrEqual(0);
});
it('reembed-all refuses to run with the mock provider', async () => {
await expect(runMaintenance({ reembedAll: true, env })).rejects.toThrow(/provider=mock/i);
});
it('rechunk-all refuses to run with the mock provider', async () => {
await expect(runMaintenance({ rechunkAll: true, env })).rejects.toThrow(/provider=mock/i);
});
it('--workspace on a non-existent workspace throws', async () => {
await expect(runMaintenance({ compact: true, workspace: 'does-not-exist', env }))
.rejects.toThrow(/Workspace not found/i);
});
it('--all-workspaces is a no-op (no registered workspaces) and still reports durationMs', async () => {
const result = await runMaintenance({ compact: true, allWorkspaces: true, env });
expect(result.durationMs).toBeGreaterThanOrEqual(0);
// No workspaces registered → no per-mind results aggregated.
expect(result.compact).toBeUndefined();
});
it('compact runs on the personal mind via the refactored per-mind path', async () => {
const result = await runMaintenance({ compact: true, env });
expect(result.compact).toBeDefined();
expect(typeof result.compact!.temporaryPruned).toBe('number');
});
});

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/**
* `hive-mind-cli maintenance` — batch maintenance ops for a nightly
* cron. Composes FrameStore.compact + optional wipe-imports + index
* reconciliation + re-embed + re-chunk + KG entity dedup + P/B consolidation
* + KG cognify + wiki compile behind a single flag surface.
*
* The per-mind ops (compact / wipe-imports / reconcile / reembed-all /
* rechunk-all / dedupe-entities / consolidate) are factored into
* runMaintenanceOnMind(db, frames, embedder) so the same code path serves the
* personal mind and any workspace mind (--workspace / --all-workspaces).
* Ported from hive-mind a99ea0e.
*/
import * as fs from 'node:fs';
import { spawn } from 'node:child_process';
import { openPersonalMind, type CliEnv } from '../setup.js';
import {
reconcileIndexes,
HybridSearch,
MindDB,
FrameStore,
KnowledgeGraph,
maxEmbedCharsForModel,
capEmbedText,
collectObservations,
detectSupersessionChains,
detectEntityGroups,
applyConsolidation,
type ConsolidationLlm,
type EmbeddingProviderInstance,
} from '@waggle/hive-mind-core';
import { runCognify } from './cognify.js';
import { runCompileWiki } from './compile-wiki.js';
export interface MaintenanceOptions {
compact?: boolean;
wipeImports?: boolean;
reconcile?: boolean;
/**
* Purge memory_frames_vec and re-embed every frame. Use after a period
* of running with provider=mock (vec rows are byte-hash garbage in that
* state) or after switching to a higher-quality embedder. Idempotent.
* Costs one embed call per frame (~30-100ms each on local Ollama).
* Ported from hive-mind a99ea0e.
*/
reembedAll?: boolean;
/**
* Re-chunk every frame: paragraph-split content, embed each chunk into
* memory_frame_chunks_vec. Provides the precision boost that whole-frame
* embeddings can't deliver on domain-homogeneous corpora. Idempotent —
* existing chunks for each frame are dropped before re-insertion.
* Costs one embed call per chunk (~3 chunks/frame avg → ~3x reembed cost).
* Ported from hive-mind a99ea0e.
*/
rechunkAll?: boolean;
/**
* Merge duplicate KG entities that share a normalized name + type: re-point
* the duplicates' relations onto the survivor, sum seen_count, retire the
* dups. Idempotent. Ported from hive-mind a99ea0e.
*/
dedupeEntities?: boolean;
/**
* Consolidate the dormant P/B frame types: LLM-detect supersession chains
* (deprecate stale I-frames + emit a clean-valued P-frame) and enumerable
* entity groups (emit a B-frame referencing every member), then vec-index the
* new frames. Opt-in — requires an LLM (see `consolidateModel`).
*/
consolidate?: boolean;
/**
* LLM model for --consolidate. An OpenAI-style id (e.g. `gpt-4o-mini`, with
* OPENAI_API_KEY set) routes to the OpenAI chat API — the executor the
* benchmark validated with. Anything else (or omitted) uses the zero-key
* `claude -p` subprocess.
*/
consolidateModel?: string;
/** Max observations fed to the consolidation LLM (default 400). */
consolidateLimit?: number;
cognify?: boolean;
wiki?: boolean;
maxTempAgeDays?: number;
maxDeprecatedAgeDays?: number;
/**
* Run maintenance against a workspace mind instead of personal. Mutually
* exclusive with allWorkspaces. Workspace must already exist.
* Ported from hive-mind a99ea0e.
*/
workspace?: string;
/**
* Iterate every registered workspace mind. Personal is NOT included by
* default — run a separate invocation for that. Per-workspace failures
* are logged but don't abort the loop. Ported from hive-mind a99ea0e.
*/
allWorkspaces?: boolean;
env?: CliEnv;
}
export interface MaintenanceResult {
compact?: {
temporaryPruned: number;
deprecatedPruned: number;
pframesMerged: number;
};
wipeImports?: {
framesDeleted: number;
};
reconcile?: {
ftsFixed: number;
vecFixed: number;
};
reembedAll?: {
framesEmbedded: number;
activeProvider: string;
modelName: string;
durationMs: number;
};
rechunkAll?: {
framesProcessed: number;
chunksCreated: number;
activeProvider: string;
modelName: string;
durationMs: number;
};
dedupeEntities?: {
groups: number;
merged: number;
};
consolidate?: {
chains: number;
groups: number;
pframes: number;
bframes: number;
deprecated: number;
};
cognify?: {
framesScanned: number;
entitiesCreated: number;
entitiesUpdated: number;
};
wiki?: {
provider: string;
pagesCreated: number;
pagesUpdated: number;
pagesUnchanged: number;
};
durationMs: number;
}
// ── Per-mind re-embed / re-chunk (ported from hive-mind a99ea0e) ────────────
/**
* Re-embed every frame in a mind. Wipes memory_frames_vec then batch-embeds
* via the supplied provider. Refuses to run with provider=mock — re-embedding
* with mock would just rewrite the same byte-hash garbage and waste IO.
*
* Takes primitives (db + embedder) rather than CliEnv so the same code path
* serves personal and workspace minds.
*/
async function runReembedAllOnMind(db: MindDB, embedder: EmbeddingProviderInstance): Promise<MaintenanceResult['reembedAll']> {
const start = Date.now();
const status = embedder.getStatus();
if (status.activeProvider === 'mock') {
throw new Error(
'Refusing to --reembed-all with active provider=mock. ' +
'Set OLLAMA_URL or another real provider first, then re-run.',
);
}
const raw = db.getDatabase();
const activeFp = {
provider: status.activeProvider,
model: status.modelName,
dim: embedder.dimensions,
};
const frames = raw
.prepare("SELECT id, content FROM memory_frames WHERE importance != 'deprecated' ORDER BY id ASC")
.all() as Array<{ id: number; content: string }>;
if (frames.length === 0) {
return { framesEmbedded: 0, activeProvider: status.activeProvider, modelName: status.modelName, durationMs: Date.now() - start };
}
// If the embedding dimension changed, vec0 columns can't be ALTERed — DROP +
// CREATE both vec tables at the new dim (the remediation for an
// EmbeddingDimMismatchError). Otherwise just wipe whole-frame vectors so a
// partial failure leaves the table empty (next reconcile refills it).
const stored = db.getEmbeddingFingerprint();
if (stored && stored.dim !== activeFp.dim) {
db.recreateVecTables(activeFp.dim);
process.stderr.write(
`[reembed-all] embedding dim changed ${stored.dim}${activeFp.dim}; recreated vec tables. ` +
`Run --rechunk-all to rebuild chunk vectors.\n`,
);
} else {
raw.prepare('DELETE FROM memory_frames_vec').run();
}
// Batch embed in chunks of 32 — Ollama is fastest with small batches and
// memory stays bounded. sqlite-vec quirk: rowid must be a literal SQL
// integer, not a bound parameter. Inlining the id matches core/search.ts.
//
// Two robustness measures from the audit:
// 1. Truncate to MAX_EMBED_CHARS — nomic-embed-text's context blows up on
// long frames (synthesis bundles, session handoffs).
// 2. Per-frame fallback to single embed when batch fails — without this,
// one oversize frame would silently poison all 31 batchmates with mock
// embeddings (the embedder catches batch errors and substitutes mock
// for the whole batch).
const BATCH = 32;
const modelName = embedder.getStatus().modelName;
// Shared with the core embedding provider so the cap can never drift.
const MAX_EMBED_CHARS = maxEmbedCharsForModel(modelName);
const f32ToBlob = (vec: Float32Array): Buffer => Buffer.from(vec.buffer, vec.byteOffset, vec.byteLength);
const prepText = (s: string): string => capEmbedText(s, MAX_EMBED_CHARS);
let embedded = 0;
let truncated = 0;
for (const f of frames) if (f.content.length > MAX_EMBED_CHARS) truncated++;
for (let i = 0; i < frames.length; i += BATCH) {
const slice = frames.slice(i, i + BATCH);
const texts = slice.map((f) => prepText(f.content));
let vectors: Float32Array[];
try {
// Direct per-text calls surface real failures instead of the noisy
// batch-wide mock fallback in EmbeddingProviderInstance.embedBatch.
vectors = await Promise.all(texts.map((t) => embedder.embed(t)));
} catch (err) {
// Single-call paths also fall back to mock inside embedder.embed().
// Treat this as a hard skip and continue — better to leave a frame
// un-embedded than to insert mock noise. Reconcile can re-try later.
const msg = err instanceof Error ? err.message : String(err);
process.stderr.write(`[reembed-all] batch ${i / BATCH} failed entirely: ${msg}\n`);
continue;
}
const tx = raw.transaction(() => {
for (let j = 0; j < slice.length; j++) {
const id = slice[j].id;
if (!Number.isInteger(id) || id <= 0) continue;
raw
.prepare(`INSERT INTO memory_frames_vec (rowid, embedding) VALUES (${id}, ?)`)
.run(f32ToBlob(vectors[j]));
}
});
tx();
embedded += slice.length;
}
if (truncated > 0) {
process.stderr.write(`[reembed-all] ${truncated} frame(s) > ${MAX_EMBED_CHARS} chars were truncated for embedding\n`);
}
// Record the fingerprint of the embedder that produced these vectors so the
// dim guard matches (and a later model swap is detected) on the next open.
db.setEmbeddingFingerprint(activeFp);
return {
framesEmbedded: embedded,
activeProvider: status.activeProvider,
modelName: status.modelName,
durationMs: Date.now() - start,
};
}
/**
* Re-chunk every frame: split content into ~500-token paragraphs, embed
* each chunk into memory_frame_chunks_vec. Refuses to run with mock provider
* (would just write byte-hash garbage). Idempotent per-frame —
* indexChunksForFrame deletes existing chunks before re-inserting.
*
* Takes primitives (db + embedder) so the same path runs against personal
* or workspace minds.
*/
async function runRechunkAllOnMind(db: MindDB, embedder: EmbeddingProviderInstance): Promise<MaintenanceResult['rechunkAll']> {
const start = Date.now();
const status = embedder.getStatus();
if (status.activeProvider === 'mock') {
throw new Error(
'Refusing to --rechunk-all with active provider=mock. ' +
'Set OLLAMA_URL or another real provider first, then re-run.',
);
}
const search = new HybridSearch(db, embedder);
const raw = db.getDatabase();
const frames = raw
.prepare("SELECT id, content FROM memory_frames WHERE importance != 'deprecated' ORDER BY id ASC")
.all() as Array<{ id: number; content: string }>;
let framesProcessed = 0;
let chunksCreated = 0;
for (const f of frames) {
try {
const n = await search.indexChunksForFrame(f.id, f.content);
framesProcessed++;
chunksCreated += n;
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
process.stderr.write(`[rechunk-all] frame ${f.id} failed: ${msg}\n`);
// Continue — one bad frame shouldn't abort the whole batch.
}
}
return {
framesProcessed,
chunksCreated,
activeProvider: status.activeProvider,
modelName: status.modelName,
durationMs: Date.now() - start,
};
}
// ── P/B consolidation executor ─────────────────────────────────────────────
// The core supersede.ts module is provider-agnostic (pure) — the LLM transport
// lives here at the call site. Default: zero-key `claude -p` subprocess. An
// OpenAI-style model id + OPENAI_API_KEY routes to the OpenAI chat API — the
// executor the benchmark validated with.
/**
* Spawn `claude -p --output-format=text` and resolve its stdout. Zero API key
* (uses the operator's Claude Code subscription), HIVE_MIND_NO_SYNTH=1 so the
* child's Stop hook doesn't enqueue a successor synth task.
*/
function spawnClaudeText(prompt: string, timeoutMs = 120_000): Promise<string> {
return new Promise((resolve, reject) => {
const proc = spawn('claude', ['-p', '--output-format=text'], {
stdio: ['pipe', 'pipe', 'pipe'],
// claude on Windows is a .cmd shim; spawn needs shell:true to find it.
shell: process.platform === 'win32',
env: { ...process.env, HIVE_MIND_NO_SYNTH: '1' },
});
let stdout = '';
let stderr = '';
let settled = false;
const timer = setTimeout(() => {
if (settled) return;
settled = true;
try { proc.kill('SIGKILL'); } catch { /* noop */ }
reject(new Error(`claude -p timed out after ${timeoutMs}ms`));
}, timeoutMs);
proc.stdout.on('data', (d: Buffer) => { stdout += d.toString('utf8'); });
proc.stderr.on('data', (d: Buffer) => { stderr += d.toString('utf8'); });
proc.on('error', (err) => {
if (settled) return;
settled = true;
clearTimeout(timer);
reject(new Error(`spawn claude failed: ${err.message}`));
});
proc.on('close', (code) => {
if (settled) return;
settled = true;
clearTimeout(timer);
if (code === 0) resolve(stdout.trim());
else reject(new Error(`claude -p exited ${code}: ${stderr.slice(0, 300)}`));
});
proc.stdin.write(prompt);
proc.stdin.end();
});
}
/**
* OpenAI chat completion with JSON-object response format — the executor the
* consolidation benchmark validated with (temperature 0, deterministic). Local
* fetch helper (NOT in core); requires OPENAI_API_KEY.
*/
async function callOpenAIChat(model: string, system: string, user: string, timeoutMs = 120_000): Promise<string> {
const key = process.env.OPENAI_API_KEY;
if (!key) throw new Error('consolidation --consolidate-model requires OPENAI_API_KEY');
const ctrl = new AbortController();
const timer = setTimeout(() => ctrl.abort(), timeoutMs);
try {
const res = await fetch('https://api.openai.com/v1/chat/completions', {
method: 'POST',
headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${key}` },
body: JSON.stringify({
model,
messages: [{ role: 'system', content: system }, { role: 'user', content: user }],
temperature: 0,
response_format: { type: 'json_object' },
}),
signal: ctrl.signal,
});
const text = await res.text();
if (!res.ok) throw new Error(`openai ${res.status}: ${text.slice(0, 200)}`);
return (JSON.parse(text).choices?.[0]?.message?.content ?? '').trim();
} finally {
clearTimeout(timer);
}
}
/**
* Build the LLM callback injected into the consolidation passes. An OpenAI-style
* model id routes to the OpenAI API; anything else falls back to the zero-key
* `claude -p` subprocess (system + user folded into one prompt).
*/
function buildConsolidationLlm(model?: string): ConsolidationLlm {
if (model && /^(gpt-|o[0-9])/.test(model)) {
return (system, user) => callOpenAIChat(model, system, user);
}
return (system, user) => spawnClaudeText(`${system}\n\n${user}`);
}
/**
* Human-readable text to vec-index a B-frame under (its stored content is JSON,
* which embeds poorly). Mirrors the benchmark's `<desc>: bridge of N items`.
*/
function bridgeIndexText(frame: { content: string }): string {
try {
const parsed = JSON.parse(frame.content) as { description?: string; references?: unknown[] };
const n = Array.isArray(parsed.references) ? parsed.references.length : 0;
return `${parsed.description ?? 'group'}: bridge of ${n} items`;
} catch {
return frame.content;
}
}
/**
* Run the P/B consolidation pass on one mind: gather I-frame observations, LLM-
* detect supersession chains + entity groups, apply them (deprecate stale +
* emit P/B frames), then vec-index the new frames — createPFrame/createBFrame
* index FTS only, so this step is what makes them semantically recallable.
*
* New P/B frames are anchored to the gop of the most-recent observation (a
* guaranteed-valid session gop_id; the "current value" belongs to the latest
* session), while their base/references still point at the original source
* frames — which may be cross-gop.
*
* Refactored to take (db, frames, embedder) so it composes with the per-mind
* dispatch path. Ported from hive-mind a99ea0e.
*/
async function runConsolidateOnMind(
db: MindDB,
frames: FrameStore,
embedder: EmbeddingProviderInstance,
options: MaintenanceOptions,
): Promise<NonNullable<MaintenanceResult['consolidate']>> {
const empty = { chains: 0, groups: 0, pframes: 0, bframes: 0, deprecated: 0 };
const observations = collectObservations(db, { limit: options.consolidateLimit ?? 400 });
if (observations.length < 2) return empty;
// Anchor gop = newest non-deprecated I-frame's session.
const anchor = db
.getDatabase()
.prepare(
"SELECT gop_id FROM memory_frames WHERE frame_type = 'I' AND importance != 'deprecated' ORDER BY created_at DESC, id DESC LIMIT 1",
)
.get() as { gop_id: string } | undefined;
if (!anchor) return empty;
const llm = buildConsolidationLlm(options.consolidateModel);
const [chains, groups] = await Promise.all([
detectSupersessionChains(observations, llm),
detectEntityGroups(observations, llm),
]);
const { pframes, bframes, deprecated } = applyConsolidation(frames, chains, groups, anchor.gop_id);
const toIndex = [
...pframes.map((f) => ({ id: f.id, content: f.content })),
...bframes.map((f) => ({ id: f.id, content: bridgeIndexText(f) })),
];
if (toIndex.length > 0) {
try {
await new HybridSearch(db, embedder).indexFramesBatch(toIndex);
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
process.stderr.write(`[consolidate] vec-index failed (frames remain FTS-searchable): ${msg}\n`);
}
}
return {
chains: chains.length,
groups: groups.length,
pframes: pframes.length,
bframes: bframes.length,
deprecated: deprecated.length,
};
}
/**
* Subset of maintenance ops that operate purely on a MindDB+embedder pair (no
* CliEnv-specific state). Used by both the personal and workspace dispatch
* paths so the per-mind body stays in one place. Ported from hive-mind a99ea0e.
*
* Skipped here (handled at the higher level): cognify and wiki. In this
* monorepo runCognify / runCompileWiki are personal-scoped (they don't accept
* a workspace id), so they only run on the personal path — see
* runMaintenanceOnPersonal.
*/
async function runMaintenanceOnMind(
db: MindDB,
frames: FrameStore,
embedder: EmbeddingProviderInstance,
options: MaintenanceOptions,
result: MaintenanceResult,
): Promise<void> {
if (options.compact) {
const r = frames.compact(
options.maxTempAgeDays ?? 30,
options.maxDeprecatedAgeDays ?? 90,
);
result.compact = {
temporaryPruned: r.temporaryPruned,
deprecatedPruned: r.deprecatedPruned,
pframesMerged: r.pframesMerged,
};
}
if (options.wipeImports) {
const raw = db.getDatabase();
const countRow = raw
.prepare("SELECT COUNT(*) as cnt FROM memory_frames WHERE source = 'import'")
.get() as { cnt: number };
if (countRow.cnt > 0) {
const frameIds = raw
.prepare("SELECT id FROM memory_frames WHERE source = 'import'")
.all() as { id: number }[];
const tx = raw.transaction(() => {
for (const { id } of frameIds) {
raw.prepare('DELETE FROM memory_frames_fts WHERE rowid = ?').run(id);
try {
raw.prepare('DELETE FROM memory_frames_vec WHERE rowid = ?').run(id);
} catch { /* vec optional */ }
}
raw.prepare("DELETE FROM memory_frames WHERE source = 'import'").run();
});
tx();
}
result.wipeImports = { framesDeleted: countRow.cnt };
}
if (options.reconcile) {
const r = await reconcileIndexes(db, embedder);
result.reconcile = { ftsFixed: r.ftsFixed, vecFixed: r.vecFixed };
}
if (options.reembedAll) {
result.reembedAll = await runReembedAllOnMind(db, embedder);
}
if (options.rechunkAll) {
result.rechunkAll = await runRechunkAllOnMind(db, embedder);
}
if (options.dedupeEntities) {
result.dedupeEntities = new KnowledgeGraph(db).dedupeByName();
}
if (options.consolidate) {
result.consolidate = await runConsolidateOnMind(db, frames, embedder, options);
}
}
export async function runMaintenance(options: MaintenanceOptions): Promise<MaintenanceResult> {
if (options.allWorkspaces) {
return runMaintenanceAllWorkspaces(options);
}
if (options.workspace) {
return runMaintenanceOnWorkspace(options.workspace, options);
}
return runMaintenanceOnPersonal(options);
}
async function runMaintenanceOnPersonal(options: MaintenanceOptions): Promise<MaintenanceResult> {
const env = options.env ?? openPersonalMind();
const close = options.env ? () => { /* caller owns */ } : env.close;
const start = Date.now();
const result: MaintenanceResult = { durationMs: 0 };
try {
const embedder = await env.getEmbedder();
await runMaintenanceOnMind(env.db, env.frames, embedder, options, result);
if (options.cognify) {
const r = await runCognify({ env });
result.cognify = {
framesScanned: r.framesScanned,
entitiesCreated: r.entitiesCreated,
entitiesUpdated: r.entitiesUpdated,
};
}
if (options.wiki) {
const r = await runCompileWiki({ env });
result.wiki = {
provider: r.provider,
pagesCreated: r.pagesCreated,
pagesUpdated: r.pagesUpdated,
pagesUnchanged: r.pagesUnchanged,
};
}
result.durationMs = Date.now() - start;
return result;
} finally {
close();
}
}
/**
* Run the per-mind maintenance ops against a single workspace mind. cognify /
* wiki are intentionally NOT run here — they are personal-scoped commands in
* this monorepo (see runMaintenanceOnMind). Ported from hive-mind a99ea0e.
*/
async function runMaintenanceOnWorkspace(workspaceId: string, options: MaintenanceOptions): Promise<MaintenanceResult> {
const env = options.env ?? openPersonalMind();
const close = options.env ? () => { /* caller owns */ } : env.close;
const start = Date.now();
const result: MaintenanceResult = { durationMs: 0 };
try {
const wm = env.workspaces;
const ws = wm.get(workspaceId);
if (!ws) throw new Error(`Workspace not found: ${workspaceId}`);
const mindPath = wm.getMindPath(workspaceId);
if (!fs.existsSync(mindPath)) {
throw new Error(`Workspace mind file missing: ${mindPath}. Save at least one memory to materialise it.`);
}
const embedder = await env.getEmbedder();
const wsDb = new MindDB(mindPath);
try {
const wsFrames = new FrameStore(wsDb);
await runMaintenanceOnMind(wsDb, wsFrames, embedder, options, result);
result.durationMs = Date.now() - start;
return result;
} finally {
wsDb.close();
}
} finally {
close();
}
}
/**
* Run the per-mind maintenance ops against every registered workspace mind,
* summing the headline counts. Per-workspace failures are logged and skipped.
* cognify / wiki are personal-scoped and not run here. Ported from
* hive-mind a99ea0e.
*/
async function runMaintenanceAllWorkspaces(options: MaintenanceOptions): Promise<MaintenanceResult> {
const env = options.env ?? openPersonalMind();
const close = options.env ? () => { /* caller owns */ } : env.close;
const start = Date.now();
const aggregate: MaintenanceResult = { durationMs: 0 };
// Per-mind aggregation. Ops like reembed-all report a 'framesEmbedded' count —
// sum across workspaces and let the caller see the headline number.
let totalEmbedded = 0;
let totalFramesProcessed = 0;
let totalChunks = 0;
let totalReconcileFts = 0;
let totalReconcileVec = 0;
try {
const embedder = await env.getEmbedder();
for (const ws of env.workspaces.list()) {
const mindPath = env.workspaces.getMindPath(ws.id);
if (!fs.existsSync(mindPath)) continue;
try {
const wsDb = new MindDB(mindPath);
try {
const wsFrames = new FrameStore(wsDb);
const wsResult: MaintenanceResult = { durationMs: 0 };
await runMaintenanceOnMind(wsDb, wsFrames, embedder, options, wsResult);
if (wsResult.reembedAll) {
totalEmbedded += wsResult.reembedAll.framesEmbedded;
// Take the last seen provider/model — identical across minds since
// we share one embedder instance.
aggregate.reembedAll = {
framesEmbedded: totalEmbedded,
activeProvider: wsResult.reembedAll.activeProvider,
modelName: wsResult.reembedAll.modelName,
durationMs: (aggregate.reembedAll?.durationMs ?? 0) + wsResult.reembedAll.durationMs,
};
}
if (wsResult.rechunkAll) {
totalFramesProcessed += wsResult.rechunkAll.framesProcessed;
totalChunks += wsResult.rechunkAll.chunksCreated;
aggregate.rechunkAll = {
framesProcessed: totalFramesProcessed,
chunksCreated: totalChunks,
activeProvider: wsResult.rechunkAll.activeProvider,
modelName: wsResult.rechunkAll.modelName,
durationMs: (aggregate.rechunkAll?.durationMs ?? 0) + wsResult.rechunkAll.durationMs,
};
}
if (wsResult.reconcile) {
totalReconcileFts += wsResult.reconcile.ftsFixed;
totalReconcileVec += wsResult.reconcile.vecFixed;
aggregate.reconcile = { ftsFixed: totalReconcileFts, vecFixed: totalReconcileVec };
}
} finally {
wsDb.close();
}
} catch (err) {
// One bad workspace shouldn't abort the loop. Surface and continue.
const msg = err instanceof Error ? err.message : String(err);
process.stderr.write(`[maintenance] workspace ${ws.id} failed: ${msg}\n`);
}
}
aggregate.durationMs = Date.now() - start;
return aggregate;
} finally {
close();
}
}

View File

@@ -0,0 +1,236 @@
/**
* `hive-mind-cli mcp call <tool> [--args JSON]` — spawn a short-lived
* MCP server child, run an `initialize` + `tools/call`, print the
* result, and tear down.
*
* Deliberately raw JSON-RPC rather than pulling @modelcontextprotocol/sdk
* as a CLI dependency — the message shape is stable and the smoke script
* already proves this works end-to-end. Extra ~50 lines here vs an extra
* ~10MB of installed SDK for every CLI consumer.
*/
import { spawn, type ChildProcessByStdio } from 'node:child_process';
import type { Readable, Writable } from 'node:stream';
import { resolveMcpServerEntry } from './mcp-start.js';
export interface McpCallOptions {
tool: string;
args?: Record<string, unknown>;
/** Overall timeout for initialize + call + teardown. */
timeoutMs?: number;
/** Extra env vars merged over process.env before launching the child. */
env?: Record<string, string | undefined>;
/** Test hook — raw transport factory returning stdin/stdout streams. */
transport?: () => {
stdin: Writable;
stdout: Readable;
kill: () => void;
exitPromise: Promise<number>;
};
}
export interface McpCallResult {
ok: boolean;
tool: string;
/** Raw MCP tool result (content array) when ok. */
content?: Array<{ type: string; text?: string; [k: string]: unknown }>;
/** True when the server reported the call as an application error. */
isError?: boolean;
/** Human-readable error when ok=false. */
error?: string;
}
const DEFAULT_TIMEOUT_MS = 30_000;
const INITIALIZE_ID = 1;
const CALL_ID = 2;
function spawnMcpChild(envOverride?: Record<string, string | undefined>): {
stdin: Writable;
stdout: Readable;
kill: () => void;
exitPromise: Promise<number>;
} {
const entry = resolveMcpServerEntry();
const child: ChildProcessByStdio<Writable, Readable, Readable> = spawn(
process.execPath,
[entry],
{
stdio: ['pipe', 'pipe', 'pipe'],
env: { ...process.env, ...(envOverride ?? {}) },
},
);
// Drain stderr so a chatty server can't block on buffered logs.
child.stderr.on('data', () => { /* intentional drop — preserves parent stderr for CLI */ });
const exitPromise = new Promise<number>((resolve) => {
child.on('exit', (code) => resolve(code ?? 0));
});
return {
stdin: child.stdin,
stdout: child.stdout,
kill: () => { if (!child.killed) child.kill('SIGTERM'); },
exitPromise,
};
}
/** Parse newline-delimited JSON-RPC messages out of a rolling buffer. */
function createLineParser(): {
feed: (chunk: string) => Array<Record<string, unknown>>;
} {
let buffer = '';
return {
feed(chunk: string) {
buffer += chunk;
const messages: Array<Record<string, unknown>> = [];
let newlineIdx = buffer.indexOf('\n');
while (newlineIdx !== -1) {
const line = buffer.slice(0, newlineIdx).trim();
buffer = buffer.slice(newlineIdx + 1);
if (line) {
try {
messages.push(JSON.parse(line) as Record<string, unknown>);
} catch {
// Non-JSON line on stdout (shouldn't happen for a conformant MCP server).
}
}
newlineIdx = buffer.indexOf('\n');
}
return messages;
},
};
}
/** Wait for a JSON-RPC response with a matching id, or reject on timeout. */
function awaitResponse(
stdout: Readable,
parser: ReturnType<typeof createLineParser>,
id: number,
timeoutMs: number,
): Promise<Record<string, unknown>> {
return new Promise((resolve, reject) => {
const timer = setTimeout(() => {
stdout.off('data', onData);
reject(new Error(`timed out after ${timeoutMs}ms waiting for response id=${id}`));
}, timeoutMs);
const onData = (chunk: Buffer | string): void => {
const text = typeof chunk === 'string' ? chunk : chunk.toString('utf-8');
for (const msg of parser.feed(text)) {
if (msg['id'] === id) {
clearTimeout(timer);
stdout.off('data', onData);
resolve(msg);
return;
}
}
};
stdout.on('data', onData);
});
}
export async function runMcpCall(options: McpCallOptions): Promise<McpCallResult> {
if (!options.tool) {
return { ok: false, tool: '', error: 'tool name is required (e.g. `mcp call recall_memory`)' };
}
const timeoutMs = options.timeoutMs ?? DEFAULT_TIMEOUT_MS;
const transport = options.transport
? options.transport()
: spawnMcpChild(options.env);
const parser = createLineParser();
try {
// 1. initialize
const initReq = {
jsonrpc: '2.0',
id: INITIALIZE_ID,
method: 'initialize',
params: {
protocolVersion: '2024-11-05',
capabilities: {},
clientInfo: { name: 'hive-mind-cli', version: '0.1.0' },
},
};
transport.stdin.write(JSON.stringify(initReq) + '\n');
const initResp = await awaitResponse(transport.stdout, parser, INITIALIZE_ID, timeoutMs);
if (initResp['error']) {
return { ok: false, tool: options.tool, error: `initialize failed: ${JSON.stringify(initResp['error'])}` };
}
// 2. initialized notification (no id, no response expected)
transport.stdin.write(JSON.stringify({
jsonrpc: '2.0',
method: 'notifications/initialized',
}) + '\n');
// 3. tools/call
const callReq = {
jsonrpc: '2.0',
id: CALL_ID,
method: 'tools/call',
params: {
name: options.tool,
arguments: options.args ?? {},
},
};
transport.stdin.write(JSON.stringify(callReq) + '\n');
const callResp = await awaitResponse(transport.stdout, parser, CALL_ID, timeoutMs);
if (callResp['error']) {
const err = callResp['error'] as { code?: number; message?: string };
return {
ok: false,
tool: options.tool,
error: err.message ?? 'unknown MCP error',
};
}
const result = callResp['result'] as {
content?: Array<{ type: string; text?: string; [k: string]: unknown }>;
isError?: boolean;
} | undefined;
return {
ok: true,
tool: options.tool,
content: result?.content ?? [],
isError: result?.isError ?? false,
};
} catch (err) {
return {
ok: false,
tool: options.tool,
error: err instanceof Error ? err.message : String(err),
};
} finally {
transport.kill();
await transport.exitPromise.catch(() => { /* already dead */ });
}
}
export function renderMcpCallResult(result: McpCallResult, format: 'plain' | 'json' = 'plain'): string {
if (format === 'json') return JSON.stringify(result, null, 2);
if (!result.ok) {
return `mcp call ${result.tool}: FAILED — ${result.error ?? 'unknown error'}`;
}
const lines: string[] = [];
lines.push(`mcp call ${result.tool}: ok${result.isError ? ' (tool reported isError=true)' : ''}`);
if (result.content && result.content.length > 0) {
for (const block of result.content) {
if (block.type === 'text' && typeof block.text === 'string') {
lines.push(block.text);
} else {
lines.push(JSON.stringify(block));
}
}
} else {
lines.push('(empty content)');
}
return lines.join('\n');
}

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/**
* `hive-mind-cli mcp start` — run the hive-mind MCP server in the
* foreground with inherited stdio, so any MCP client (Claude Code,
* Claude Desktop, Codex) can connect over stdio without the user
* having to know about the separate @waggle/hive-mind-mcp-server package.
*
* We spawn a fresh node subprocess instead of importing the server
* in-process because:
* - stdio:'inherit' wires client → child directly, no buffering
* - signal forwarding is straightforward (parent exits with child
* exit code; SIGINT/SIGTERM propagate naturally)
* - the server owning its own process keeps the shutdown path
* free of CLI teardown interleaving
*/
import { spawn } from 'node:child_process';
import { fileURLToPath } from 'node:url';
export interface McpStartOptions {
/** Extra env vars merged over process.env before launching the child. */
env?: Record<string, string | undefined>;
/**
* Override for tests — a function that runs the server and returns an
* exit code. When provided, the real subprocess spawn is skipped.
*/
runner?: () => Promise<number>;
}
/**
* Resolve the hive-mind MCP server binary via the standard require.resolve
* path. Throws if the dep isn't installed (missing workspace link, broken
* install, etc.) rather than silently failing.
*/
export function resolveMcpServerEntry(): string {
try {
return fileURLToPath(import.meta.resolve('@waggle/hive-mind-mcp-server'));
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
throw new Error(
'@waggle/hive-mind-mcp-server is not resolvable from the CLI. ' +
'Run `npm install` at the repo root, or install @waggle/hive-mind-mcp-server ' +
`alongside @waggle/hive-mind-cli. (${msg})`,
);
}
}
export async function runMcpStart(options: McpStartOptions = {}): Promise<number> {
if (options.runner) return options.runner();
const entry = resolveMcpServerEntry();
const child = spawn(process.execPath, [entry], {
stdio: 'inherit',
env: { ...process.env, ...(options.env ?? {}) },
});
// Forward SIGINT/SIGTERM so the user's Ctrl+C reaches the server
// before it reaches our own exit handler.
const forward = (sig: NodeJS.Signals): void => {
if (!child.killed) child.kill(sig);
};
process.once('SIGINT', () => forward('SIGINT'));
process.once('SIGTERM', () => forward('SIGTERM'));
return new Promise<number>((resolve) => {
child.on('exit', (code, signal) => {
if (signal && code === null) {
// Child killed by signal — synthesize a conventional exit code.
resolve(128 + (signal === 'SIGINT' ? 2 : signal === 'SIGTERM' ? 15 : 1));
return;
}
resolve(code ?? 0);
});
child.on('error', (err) => {
// Spawn failed — surface the OS-level error.
console.error(`hive-mind-cli mcp start: ${err.message}`);
resolve(1);
});
});
}

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/**
* `hive-mind-cli recall-context [query]` — query the personal mind and
* print matching frames. Designed to be invoked from a SessionStart
* hook, where the stdout is injected into the AI client's conversation
* context.
*/
import { openPersonalMind, type CliEnv } from '../setup.js';
export interface RecallContextOptions {
query: string;
limit?: number;
scope?: 'personal' | 'all';
profile?: 'balanced' | 'recent' | 'important' | 'connected';
format?: 'plain' | 'json';
/** Override for tests — use an already-open env instead of opening a new one. */
env?: CliEnv;
}
export interface RecallContextResult {
query: string;
hits: Array<{
id: number;
content: string;
importance: string;
source: string;
score: number;
created_at: string;
from: string;
}>;
}
export async function runRecallContext(options: RecallContextOptions): Promise<RecallContextResult> {
const env = options.env ?? openPersonalMind();
const close = options.env ? () => { /* caller owns */ } : env.close;
try {
const limit = options.limit ?? 10;
const scope = options.scope ?? 'personal';
const profile = options.profile ?? 'balanced';
const search = await env.getSearch();
const searchOpts = { limit, profile };
const hits: RecallContextResult['hits'] = [];
// Personal mind
const personalResults = await search.search(options.query, searchOpts);
for (const r of personalResults) {
hits.push({
id: r.frame.id,
content: r.frame.content,
importance: r.frame.importance,
source: r.frame.source,
score: Math.round(r.finalScore * 1000) / 1000,
created_at: r.frame.created_at,
from: 'personal',
});
}
// All workspaces when scope=all
if (scope === 'all') {
for (const ws of env.workspaces.list()) {
const wsDb = env.mindCache.getOrOpen(ws.id);
if (!wsDb) continue;
try {
const { FrameStore, HybridSearch } = await import('@waggle/hive-mind-core');
// Touch these to satisfy lint; they're consumed below via wsDb.
void FrameStore;
const wsEmbedder = await env.getEmbedder();
const wsSearch = new HybridSearch(wsDb, wsEmbedder);
const wsResults = await wsSearch.search(options.query, searchOpts);
for (const r of wsResults) {
hits.push({
id: r.frame.id,
content: r.frame.content,
importance: r.frame.importance,
source: r.frame.source,
score: Math.round(r.finalScore * 1000) / 1000,
created_at: r.frame.created_at,
from: `workspace:${ws.id}`,
});
}
} catch { /* workspace failures are non-fatal */ }
}
}
hits.sort((a, b) => b.score - a.score);
const trimmed = hits.slice(0, limit);
return { query: options.query, hits: trimmed };
} finally {
close();
}
}
/** Render a recall result either as plain text (for stdout injection) or JSON. */
export function renderRecallResult(result: RecallContextResult, format: 'plain' | 'json' = 'plain'): string {
if (format === 'json') {
return JSON.stringify(result, null, 2);
}
if (result.hits.length === 0) {
return `No memories found for query: "${result.query}"`;
}
const lines: string[] = [`# Recalled context for "${result.query}"`, ''];
for (const h of result.hits) {
const date = h.created_at.slice(0, 10);
lines.push(`- [${h.from}/${h.importance}, ${date}, score=${h.score.toFixed(3)}] ${h.content}`);
}
return lines.join('\n');
}

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/**
* `hive-mind-cli save-session` — persist a session summary as one or
* more I-Frames. Intended to run from a post-session hook (Stop in
* Claude Code, etc.) where the transcript text is piped in on stdin or
* supplied via --file.
*/
import fs from 'node:fs';
import { openPersonalMind, type CliEnv } from '../setup.js';
import type { Importance } from '@waggle/hive-mind-core';
export interface SaveSessionOptions {
/** Raw session summary text. Takes precedence over `file`. */
text?: string;
/** Path to a file containing the session summary. */
file?: string;
importance?: Importance;
sessionLabel?: string;
env?: CliEnv;
}
export interface SaveSessionResult {
saved: boolean;
frameId?: number;
frameCreatedAt?: string;
characters: number;
reason?: string;
}
const SESSION_LABEL_PREFIX = 'cli:save-session';
function readStdinSync(): string {
try {
// Node's readFileSync with fd=0 reads stdin synchronously. Works when
// the CLI is invoked with a pipe. Returns empty string when stdin is a TTY.
return fs.readFileSync(0, 'utf-8');
} catch {
return '';
}
}
export async function runSaveSession(options: SaveSessionOptions): Promise<SaveSessionResult> {
const env = options.env ?? openPersonalMind();
const close = options.env ? () => { /* caller owns */ } : env.close;
try {
let text = options.text ?? '';
if (!text && options.file) {
try {
text = fs.readFileSync(options.file, 'utf-8');
} catch (err) {
return {
saved: false,
characters: 0,
reason: `Failed to read ${options.file}: ${err instanceof Error ? err.message : String(err)}`,
};
}
}
if (!text && !options.env) {
// Only try stdin when running as a real CLI, not in tests.
text = readStdinSync();
}
const trimmed = text.trim();
if (trimmed.length < 20) {
return {
saved: false,
characters: trimmed.length,
reason: 'Session summary is too short (< 20 chars) — nothing saved',
};
}
const today = new Date().toISOString().slice(0, 10);
const label = options.sessionLabel ?? `${SESSION_LABEL_PREFIX}:${today}`;
const session = env.sessions.ensure(label, undefined, `Saved session summary ${today}`);
const frame = env.frames.createIFrame(
session.gop_id,
trimmed,
options.importance ?? 'normal',
'agent_inferred',
);
// Best-effort vector indexing. Keyword search via FTS5 still works if this fails.
try {
const search = await env.getSearch();
await search.indexFrame(frame.id, trimmed);
} catch { /* non-fatal */ }
return {
saved: true,
frameId: frame.id,
frameCreatedAt: frame.created_at,
characters: trimmed.length,
};
} finally {
close();
}
}

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/**
* `hive-mind-cli status` — show frame/entity/relation counts and the most
* recent frame, so a persona can eyeball whether the memory substrate is
* healthy without opening the SQLite file directly.
*
* Read-only: does not probe the embedder, does not mutate anything.
*/
import fs from 'node:fs';
import path from 'node:path';
import { openPersonalMind, resolveDataDir, type CliEnv } from '../setup.js';
export interface StatusOptions {
env?: CliEnv;
dataDir?: string;
}
export interface StatusResult {
dataDir: string;
personalMindExists: boolean;
frames: number;
entities: number;
relations: number;
entityTypeCounts: Array<{ type: string; count: number }>;
lastFrame: {
id: number;
source: string;
importance: string;
created_at: string;
preview: string;
} | null;
workspaces: Array<{ id: string; name: string }>;
}
/** Content preview cap — long frames don't flood the status output. */
const PREVIEW_CHARS = 80;
export async function runStatus(options: StatusOptions = {}): Promise<StatusResult> {
const dataDir = options.env?.dataDir ?? options.dataDir ?? resolveDataDir();
const personalMindPath = path.join(dataDir, 'personal.mind');
const personalMindExists = fs.existsSync(personalMindPath);
if (!personalMindExists && !options.env) {
return {
dataDir,
personalMindExists: false,
frames: 0,
entities: 0,
relations: 0,
entityTypeCounts: [],
lastFrame: null,
workspaces: [],
};
}
const env = options.env ?? openPersonalMind(dataDir);
const close = options.env ? () => { /* caller owns */ } : env.close;
try {
const db = env.db.getDatabase();
// memory_frames uses importance='deprecated' as a tombstone (no valid_to column).
const frameCountRow = db
.prepare("SELECT COUNT(*) AS n FROM memory_frames WHERE importance != 'deprecated'")
.get() as { n: number } | undefined;
const relationCountRow = db
.prepare("SELECT COUNT(*) AS n FROM knowledge_relations WHERE valid_to IS NULL")
.get() as { n: number } | undefined;
const lastFrameRow = db
.prepare(
"SELECT id, source, importance, created_at, content FROM memory_frames " +
"WHERE importance != 'deprecated' ORDER BY id DESC LIMIT 1",
)
.get() as {
id: number;
source: string;
importance: string;
created_at: string;
content: string;
} | undefined;
const entityCount = env.kg.getEntityCount();
const entityTypeCounts = env.kg.getEntityTypeCounts();
const workspaceList = env.workspaces.list().map((w) => ({
id: w.id,
name: w.name,
}));
return {
dataDir: env.dataDir,
personalMindExists: true,
frames: frameCountRow?.n ?? 0,
entities: entityCount,
relations: relationCountRow?.n ?? 0,
entityTypeCounts,
lastFrame: lastFrameRow ? {
id: lastFrameRow.id,
source: lastFrameRow.source,
importance: lastFrameRow.importance,
created_at: lastFrameRow.created_at,
preview: previewOf(lastFrameRow.content),
} : null,
workspaces: workspaceList,
};
} finally {
close();
}
}
function previewOf(content: string): string {
const normalized = content.replace(/\s+/g, ' ').trim();
return normalized.length <= PREVIEW_CHARS
? normalized
: normalized.slice(0, PREVIEW_CHARS - 1) + '…';
}
export function renderStatusResult(result: StatusResult, format: 'plain' | 'json' = 'plain'): string {
if (format === 'json') {
return JSON.stringify(result, null, 2);
}
const lines: string[] = [];
lines.push('hive-mind status');
lines.push(` data dir: ${result.dataDir}`);
if (!result.personalMindExists) {
lines.push(' personal: not initialised — run `hive-mind-cli init`');
return lines.join('\n');
}
lines.push(` frames: ${result.frames.toLocaleString('en-US')}`);
lines.push(` entities: ${result.entities.toLocaleString('en-US')}`);
lines.push(` relations: ${result.relations.toLocaleString('en-US')}`);
if (result.entityTypeCounts.length > 0) {
const top = result.entityTypeCounts.slice(0, 5)
.map((e) => `${e.type}=${e.count}`)
.join(' ');
lines.push(` top types: ${top}`);
}
if (result.lastFrame) {
const when = result.lastFrame.created_at.replace('T', ' ').slice(0, 16);
lines.push(
` last frame: #${result.lastFrame.id} (${result.lastFrame.source}, ` +
`${result.lastFrame.importance}, ${when})`,
);
lines.push(` "${result.lastFrame.preview}"`);
} else {
lines.push(' last frame: (none — try `hive-mind-cli save-session`)');
}
if (result.workspaces.length > 0) {
lines.push(` workspaces: ${result.workspaces.length} ` +
`(${result.workspaces.slice(0, 3).map((w) => w.name).join(', ')}` +
`${result.workspaces.length > 3 ? ', …' : ''})`);
}
return lines.join('\n');
}

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import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
import { mkdtempSync, rmSync, writeFileSync } from 'node:fs';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { PassThrough } from 'node:stream';
import { openPersonalMind, type CliEnv } from './setup.js';
import { dispatch } from './dispatch.js';
import { runMcpCall } from './commands/mcp-call.js';
import { runDanceReceive, runDanceSend } from './commands/dance.js';
describe('cli dispatch', () => {
let dataDir: string;
let env: CliEnv;
beforeEach(() => {
dataDir = mkdtempSync(join(tmpdir(), 'hmind-cli-dispatch-'));
env = openPersonalMind(dataDir);
// Seed a session + a few frames the commands can recall/cognify over.
env.db.getDatabase().prepare(
"INSERT INTO sessions (gop_id, status, started_at) VALUES ('g-cli', 'active', datetime('now'))",
).run();
env.frames.createIFrame('g-cli', 'Alice works at Acme Corp on Project Alpha', 'important', 'user_stated');
env.frames.createIFrame('g-cli', 'Bob prefers TypeScript over JavaScript for backend work', 'normal', 'user_stated');
env.frames.createIFrame('g-cli', 'The weekly review happens every Thursday at 2pm', 'normal', 'user_stated');
});
afterEach(() => {
env.close();
vi.unstubAllGlobals();
delete process.env.WAGGLE_DANCE_URL;
delete process.env.WAGGLE_RUN_TOKEN;
try { rmSync(dataDir, { recursive: true, force: true }); } catch { /* ignore */ }
});
it('recall-context returns hits as plain text when no --json flag', async () => {
const out = await dispatch({
subcommand: 'recall-context',
values: { limit: '5' },
positionals: ['Alice Acme'],
env,
});
expect(out).toBeDefined();
expect(out).toContain('Recalled context');
expect(out).toContain('Alice');
});
it('recall-context with --json emits JSON envelope', async () => {
const out = await dispatch({
subcommand: 'recall-context',
values: { json: true, limit: '5' },
positionals: ['Alice'],
env,
});
const parsed = JSON.parse(out!) as { query: string; hits: Array<{ content: string }> };
expect(parsed.query).toBe('Alice');
expect(Array.isArray(parsed.hits)).toBe(true);
});
it('recall-context rejects missing query', async () => {
await expect(dispatch({
subcommand: 'recall-context',
values: {},
positionals: [],
env,
})).rejects.toThrow(/requires a query/);
});
it('save-session from --file persists an I-Frame', async () => {
const filePath = join(dataDir, 'session.txt');
writeFileSync(filePath, 'Today we decided to ship the new auth module behind a feature flag.');
const out = await dispatch({
subcommand: 'save-session',
values: { json: true, file: filePath },
positionals: [],
env,
});
const parsed = JSON.parse(out!) as { saved: boolean; frameId?: number };
expect(parsed.saved).toBe(true);
expect(typeof parsed.frameId).toBe('number');
});
it('save-session rejects too-short input', async () => {
const filePath = join(dataDir, 'short.txt');
writeFileSync(filePath, 'hi');
const out = await dispatch({
subcommand: 'save-session',
values: { json: true, file: filePath },
positionals: [],
env,
});
const parsed = JSON.parse(out!) as { saved: boolean; reason?: string };
expect(parsed.saved).toBe(false);
expect(parsed.reason).toMatch(/too short/i);
});
it('harvest-local rejects missing --source or --path', async () => {
await expect(dispatch({
subcommand: 'harvest-local',
values: { source: 'chatgpt' },
positionals: [],
env,
})).rejects.toThrow(/--path/);
await expect(dispatch({
subcommand: 'harvest-local',
values: { path: '/tmp/x.json' },
positionals: [],
env,
})).rejects.toThrow(/--source/);
});
it('harvest-local reports missing file as an error (non-throwing)', async () => {
const out = await dispatch({
subcommand: 'harvest-local',
values: {
json: true,
source: 'chatgpt',
path: join(dataDir, 'does-not-exist.json'),
},
positionals: [],
env,
});
const parsed = JSON.parse(out!) as { errors: string[] };
expect(parsed.errors.length).toBeGreaterThan(0);
expect(parsed.errors[0]).toMatch(/not found/i);
});
it('harvest-local parses a minimal ChatGPT export into frames', async () => {
const exportPath = join(dataDir, 'chatgpt.json');
writeFileSync(exportPath, JSON.stringify([
{
id: 'conv-1',
title: 'Greeting',
create_time: 1_700_000_000,
mapping: {
m1: {
id: 'm1',
message: {
author: { role: 'user' },
create_time: 1_700_000_001,
content: { parts: ['Hello from chatgpt export'] },
},
},
},
},
]));
const out = await dispatch({
subcommand: 'harvest-local',
values: { json: true, source: 'chatgpt', path: exportPath },
positionals: [],
env,
});
const parsed = JSON.parse(out!) as { itemsFound: number; framesCreated: number };
expect(parsed.itemsFound).toBeGreaterThan(0);
expect(parsed.framesCreated).toBeGreaterThan(0);
});
it('cognify scans the seeded frames and reports a run', async () => {
const out = await dispatch({
subcommand: 'cognify',
values: { json: true },
positionals: [],
env,
});
const parsed = JSON.parse(out!) as { framesScanned: number; entitiesCreated: number };
expect(parsed.framesScanned).toBeGreaterThanOrEqual(3);
// The seed data includes capitalised multi-word candidates (Acme Corp, Project Alpha).
expect(parsed.entitiesCreated + 0).toBeGreaterThan(0);
});
it('compile-wiki runs against the real core + wiki-compiler (echo synthesizer)', async () => {
// No ANTHROPIC_API_KEY / OLLAMA_URL in the test env → echo fallback.
delete process.env.ANTHROPIC_API_KEY;
delete process.env.OLLAMA_URL;
const out = await dispatch({
subcommand: 'compile-wiki',
values: { json: true, mode: 'full' },
positionals: [],
env,
});
const parsed = JSON.parse(out!) as { provider: string; pagesCreated: number; mode: string };
expect(parsed.mode).toBe('full');
// With no entities in the KG, there should still be an index page at least.
expect(parsed.provider).toBe('echo');
});
it('maintenance runs the requested ops in sequence', async () => {
const out = await dispatch({
subcommand: 'maintenance',
values: {
json: true,
compact: true,
'wipe-imports': true,
cognify: true,
},
positionals: [],
env,
});
const parsed = JSON.parse(out!) as {
compact?: unknown;
wipeImports?: unknown;
cognify?: unknown;
durationMs: number;
};
expect(parsed.compact).toBeDefined();
expect(parsed.wipeImports).toBeDefined();
expect(parsed.cognify).toBeDefined();
expect(parsed.durationMs).toBeGreaterThanOrEqual(0);
});
it('dispatches a scoped WaggleDance message with the run credential header', async () => {
process.env.WAGGLE_DANCE_URL = 'http://127.0.0.1:3333';
process.env.WAGGLE_RUN_TOKEN = 'run-token-with-enough-entropy-123456789';
const requests: Array<{ url: string; init?: RequestInit }> = [];
vi.stubGlobal('fetch', async (input: string | URL | Request, init?: RequestInit) => {
requests.push({ url: String(input), init });
return new Response(JSON.stringify({
dispatched: true,
message: { id: 'message-1', subtype: 'knowledge_check' },
}), { status: 201, headers: { 'content-type': 'application/json' } });
});
const output = await dispatch({
subcommand: 'dance-send',
values: { json: true, type: 'request', subtype: 'knowledge_check', message: 'Who has the schema?' },
positionals: [],
});
expect(JSON.parse(output!)).toMatchObject({ sent: true, message: { id: 'message-1' } });
expect(requests[0].url).toBe('http://127.0.0.1:3333/api/waggle-dance/signal');
expect((requests[0].init?.headers as Record<string, string>)['x-waggle-run-token']).toBe(process.env.WAGGLE_RUN_TOKEN);
expect(JSON.parse(String(requests[0].init?.body))).toMatchObject({
type: 'request', subtype: 'knowledge_check', content: { query: 'Who has the schema?' },
});
});
it('receives only through a loopback WaggleDance transport', async () => {
const requests: string[] = [];
const result = await runDanceReceive({
env: {
WAGGLE_DANCE_URL: 'http://localhost:4444/',
WAGGLE_RUN_TOKEN: 'run-token-with-enough-entropy-123456789',
},
since: '2026-07-11T00:00:00.000Z',
limit: 2,
fetch: async (input) => {
requests.push(String(input));
return new Response(JSON.stringify({
signals: [{ id: 'one', subtype: 'routed_share' }], total: 1,
}), { status: 200 });
},
});
expect(result).toMatchObject({ total: 1, signals: [{ id: 'one' }] });
expect(requests[0]).toContain('/api/waggle-dance/signals?');
expect(requests[0]).toContain('limit=2');
await expect(runDanceSend({
env: {
WAGGLE_DANCE_URL: 'https://attacker.example',
WAGGLE_RUN_TOKEN: 'run-token-with-enough-entropy-123456789',
},
type: 'broadcast', subtype: 'discovery', message: 'no',
fetch: async () => { throw new Error('must not send'); },
})).rejects.toThrow(/loopback/);
});
it('rejects unknown subcommand', async () => {
await expect(dispatch({
subcommand: 'teleport',
values: {},
positionals: [],
env,
})).rejects.toThrow(/Unknown subcommand/);
});
it('init on a populated env reports the existing mind', async () => {
const out = await dispatch({
subcommand: 'init',
values: { json: true },
positionals: [],
env,
});
const parsed = JSON.parse(out!) as {
dataDir: string;
personalMindPath: string;
personalMindCreated: boolean;
dataDirCreated: boolean;
};
expect(parsed.dataDir).toBe(dataDir);
expect(parsed.personalMindPath).toContain('personal.mind');
// Already opened by the beforeEach hook → should be reported as existing.
expect(parsed.personalMindCreated).toBe(false);
expect(parsed.dataDirCreated).toBe(false);
});
it('init plain-text output lists next-step commands', async () => {
const out = await dispatch({
subcommand: 'init',
values: {},
positionals: [],
env,
});
expect(out).toContain('Personal mind exists');
expect(out).toContain('hive-mind-cli status');
expect(out).toContain('hive-mind-cli recall-context');
});
it('status --json reports seeded frame count and entities', async () => {
// Cognify first so the entity-count column is non-zero.
await dispatch({
subcommand: 'cognify',
values: { json: true },
positionals: [],
env,
});
const out = await dispatch({
subcommand: 'status',
values: { json: true },
positionals: [],
env,
});
const parsed = JSON.parse(out!) as {
dataDir: string;
personalMindExists: boolean;
frames: number;
entities: number;
relations: number;
lastFrame: { id: number; source: string; preview: string } | null;
};
expect(parsed.personalMindExists).toBe(true);
expect(parsed.frames).toBeGreaterThanOrEqual(3);
expect(parsed.entities).toBeGreaterThan(0);
expect(parsed.lastFrame).not.toBeNull();
expect(parsed.lastFrame?.source).toBe('user_stated');
expect(parsed.lastFrame?.preview.length).toBeGreaterThan(0);
});
it('status plain-text renders a human-readable summary', async () => {
const out = await dispatch({
subcommand: 'status',
values: {},
positionals: [],
env,
});
expect(out).toContain('hive-mind status');
expect(out).toContain('frames:');
expect(out).toContain('entities:');
expect(out).toContain('relations:');
expect(out).toContain('last frame:');
});
it('status truncates long frame content in preview', async () => {
// Seed a long frame so preview truncation is exercised.
const longContent = 'This is a deliberately long frame body. '.repeat(10);
env.frames.createIFrame('g-cli', longContent, 'normal', 'user_stated');
const out = await dispatch({
subcommand: 'status',
values: { json: true },
positionals: [],
env,
});
const parsed = JSON.parse(out!) as { lastFrame: { preview: string } };
expect(parsed.lastFrame.preview.length).toBeLessThanOrEqual(80);
expect(parsed.lastFrame.preview.endsWith('…')).toBe(true);
});
it('mcp-call rejects missing tool name', async () => {
await expect(dispatch({
subcommand: 'mcp-call',
values: {},
positionals: [],
})).rejects.toThrow(/tool name/);
});
it('mcp-call rejects invalid --args JSON', async () => {
await expect(dispatch({
subcommand: 'mcp-call',
values: { args: '{not json' },
positionals: ['recall_memory'],
})).rejects.toThrow(/not valid JSON/);
});
});
/**
* MCP-call tests using the `transport` override so we never spawn a real
* child process. These verify the JSON-RPC handshake + response matching
* logic, not the server itself (the smoke script covers the real server).
*/
describe('runMcpCall (transport mock)', () => {
function makeMockTransport(responses: Array<Record<string, unknown>>) {
const stdin = new PassThrough();
const stdout = new PassThrough();
let killed = false;
// Watch stdin for requests and emit canned responses for each id.
let buffer = '';
stdin.on('data', (chunk: Buffer) => {
buffer += chunk.toString('utf-8');
let idx = buffer.indexOf('\n');
while (idx !== -1) {
const line = buffer.slice(0, idx).trim();
buffer = buffer.slice(idx + 1);
if (line) {
try {
const req = JSON.parse(line) as { id?: number; method?: string };
if (typeof req.id === 'number') {
const match = responses.find((r) => r['id'] === req.id);
if (match) {
stdout.write(JSON.stringify(match) + '\n');
}
}
} catch { /* ignore parse errors */ }
}
idx = buffer.indexOf('\n');
}
});
return () => ({
stdin,
stdout,
kill: () => { killed = true; stdin.end(); stdout.end(); },
exitPromise: Promise.resolve(killed ? 0 : 0),
});
}
it('runs initialize + tools/call and returns the content array', async () => {
const transport = makeMockTransport([
{
jsonrpc: '2.0',
id: 1,
result: {
protocolVersion: '2024-11-05',
capabilities: {},
serverInfo: { name: 'mock', version: '0.0.1' },
},
},
{
jsonrpc: '2.0',
id: 2,
result: {
content: [{ type: 'text', text: 'hello from the mock tool' }],
isError: false,
},
},
]);
const result = await runMcpCall({
tool: 'recall_memory',
args: { query: 'hello' },
transport,
timeoutMs: 2000,
});
expect(result.ok).toBe(true);
expect(result.tool).toBe('recall_memory');
expect(result.isError).toBe(false);
expect(result.content).toHaveLength(1);
expect(result.content![0].text).toContain('hello from the mock tool');
});
it('surfaces MCP error responses', async () => {
const transport = makeMockTransport([
{ jsonrpc: '2.0', id: 1, result: { protocolVersion: '2024-11-05', capabilities: {} } },
{ jsonrpc: '2.0', id: 2, error: { code: -32602, message: 'Unknown tool: teleport' } },
]);
const result = await runMcpCall({
tool: 'teleport',
transport,
timeoutMs: 2000,
});
expect(result.ok).toBe(false);
expect(result.error).toContain('Unknown tool: teleport');
});
it('times out when the server never responds', async () => {
// Transport that emits no responses.
const transport = makeMockTransport([]);
const result = await runMcpCall({
tool: 'recall_memory',
transport,
timeoutMs: 100,
});
expect(result.ok).toBe(false);
expect(result.error).toMatch(/timed out/);
});
it('rejects missing tool at the entry point', async () => {
const result = await runMcpCall({ tool: '', timeoutMs: 100 });
expect(result.ok).toBe(false);
expect(result.error).toMatch(/tool name is required/);
});
});

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/**
* Subcommand dispatcher. Lives in its own module so tests can drive it
* without going through argv parsing or process.exit.
*/
import { runRecallContext, renderRecallResult } from './commands/recall-context.js';
import { runSaveSession } from './commands/save-session.js';
import { runHarvestLocal, type HarvestSource } from './commands/harvest-local.js';
import { runCognify } from './commands/cognify.js';
import { runCompileWiki } from './commands/compile-wiki.js';
import { runMaintenance } from './commands/maintenance.js';
import { runInit, renderInitResult } from './commands/init.js';
import { runStatus, renderStatusResult } from './commands/status.js';
import { runMcpStart } from './commands/mcp-start.js';
import { runMcpCall, renderMcpCallResult } from './commands/mcp-call.js';
import { runDoctor, renderDoctorResult } from './commands/doctor.js';
import {
renderDanceReceive,
renderDanceSend,
runDanceReceive,
runDanceSend,
type DanceMessageSubtype,
type DanceMessageType,
} from './commands/dance.js';
import type { CliEnv } from './setup.js';
import type { Importance } from '@waggle/hive-mind-core';
export interface DispatchArgs {
subcommand: string;
values: Record<string, unknown>;
positionals: string[];
/** Optional env override for tests — bypasses openPersonalMind(). */
env?: CliEnv;
}
type OutputFormat = 'plain' | 'json';
function intArg(values: Record<string, unknown>, key: string): number | undefined {
const v = values[key];
if (v === undefined) return undefined;
const n = Number(v);
return Number.isFinite(n) ? n : undefined;
}
function formatOf(values: Record<string, unknown>): OutputFormat {
return values['json'] ? 'json' : 'plain';
}
function json(obj: unknown): string {
return JSON.stringify(obj, null, 2);
}
export async function dispatch(args: DispatchArgs): Promise<string | undefined> {
const { subcommand, values, positionals, env } = args;
const fmt = formatOf(values);
switch (subcommand) {
case 'recall-context': {
const query = (values['query'] as string) ?? positionals[0];
if (!query) throw new Error('recall-context requires a query (positional or --query)');
const result = await runRecallContext({
query,
limit: intArg(values, 'limit'),
scope: (values['scope'] as 'personal' | 'all' | undefined) ?? 'personal',
profile: (values['profile'] as 'balanced' | 'recent' | 'important' | 'connected' | undefined),
env,
});
return fmt === 'json' ? json(result) : renderRecallResult(result, 'plain');
}
case 'save-session': {
const result = await runSaveSession({
file: values['file'] as string | undefined,
importance: values['importance'] as Importance | undefined,
sessionLabel: values['session-label'] as string | undefined,
env,
});
return fmt === 'json' ? json(result) : (
result.saved
? `Saved session summary as frame #${result.frameId} (${result.characters} chars)`
: `Nothing saved: ${result.reason ?? 'empty input'}`
);
}
case 'harvest-local': {
const source = values['source'] as HarvestSource | undefined;
const pth = values['path'] as string | undefined;
if (!source) throw new Error('harvest-local requires --source (chatgpt|claude|claude-code|gemini|universal)');
if (!pth) throw new Error('harvest-local requires --path');
const result = await runHarvestLocal({ source, path: pth, env });
return fmt === 'json' ? json(result) : (
`Harvested ${result.itemsFound} items from ${result.source} ` +
`(${result.framesCreated} new, ${result.duplicatesSkipped} duplicates` +
(result.suppressedSkipped ? `, ${result.suppressedSkipped} erased-suppressed` : '') +
(result.errors.length ? `, ${result.errors.length} errors` : '') +
`)`
);
}
case 'cognify': {
const result = await runCognify({
since: intArg(values, 'since'),
limit: intArg(values, 'limit'),
env,
});
return fmt === 'json' ? json(result) : (
`Scanned ${result.framesScanned} frames — ${result.entitiesCreated} new entities, ` +
`${result.entitiesUpdated} updated (lastFrameId=${result.lastFrameId})`
);
}
case 'compile-wiki': {
const result = await runCompileWiki({
mode: (values['mode'] as 'incremental' | 'full' | undefined) ?? 'incremental',
concepts: values['concept'] as string[] | undefined,
env,
});
return fmt === 'json' ? json(result) : (
`Wiki compiled via ${result.provider}${result.pagesCreated} created, ` +
`${result.pagesUpdated} updated, ${result.pagesUnchanged} unchanged, ` +
`${result.healthIssues} health issues (${result.durationMs}ms)`
);
}
case 'maintenance': {
const result = await runMaintenance({
compact: Boolean(values['compact']),
wipeImports: Boolean(values['wipe-imports']),
reconcile: Boolean(values['reconcile']),
reembedAll: Boolean(values['reembed-all']),
rechunkAll: Boolean(values['rechunk-all']),
dedupeEntities: Boolean(values['dedupe-entities']),
consolidate: Boolean(values['consolidate']),
consolidateModel: typeof values['consolidate-model'] === 'string' ? values['consolidate-model'] : undefined,
consolidateLimit: intArg(values, 'consolidate-limit'),
cognify: Boolean(values['cognify']),
wiki: Boolean(values['wiki']),
maxTempAgeDays: intArg(values, 'max-temp-age-days'),
maxDeprecatedAgeDays: intArg(values, 'max-deprecated-age-days'),
workspace: typeof values['workspace'] === 'string' ? values['workspace'] : undefined,
allWorkspaces: Boolean(values['all-workspaces']),
env,
});
if (fmt === 'json') return json(result);
const lines: string[] = [`Maintenance run complete (${result.durationMs}ms)`];
if (result.compact) lines.push(` compact: temp=${result.compact.temporaryPruned} deprecated=${result.compact.deprecatedPruned} pframes=${result.compact.pframesMerged}`);
if (result.wipeImports) lines.push(` wipeImports: ${result.wipeImports.framesDeleted} frames`);
if (result.reconcile) lines.push(` reconcile: fts=${result.reconcile.ftsFixed} vec=${result.reconcile.vecFixed}`);
if (result.reembedAll) lines.push(` reembed-all: ${result.reembedAll.framesEmbedded} frames via ${result.reembedAll.activeProvider}/${result.reembedAll.modelName} in ${(result.reembedAll.durationMs / 1000).toFixed(1)}s`);
if (result.rechunkAll) lines.push(` rechunk-all: ${result.rechunkAll.framesProcessed} frames → ${result.rechunkAll.chunksCreated} chunks via ${result.rechunkAll.activeProvider}/${result.rechunkAll.modelName} in ${(result.rechunkAll.durationMs / 1000).toFixed(1)}s`);
if (result.dedupeEntities) lines.push(` dedupe-entities: merged ${result.dedupeEntities.merged} dup(s) across ${result.dedupeEntities.groups} group(s)`);
if (result.consolidate) lines.push(` consolidate: ${result.consolidate.chains} chain(s) → ${result.consolidate.pframes} P-frame(s) (${result.consolidate.deprecated} deprecated), ${result.consolidate.groups} group(s) → ${result.consolidate.bframes} B-frame(s)`);
if (result.cognify) lines.push(` cognify: ${result.cognify.framesScanned} frames, ${result.cognify.entitiesCreated} new, ${result.cognify.entitiesUpdated} updated`);
if (result.wiki) lines.push(` wiki: ${result.wiki.pagesCreated} created, ${result.wiki.pagesUpdated} updated, provider=${result.wiki.provider}`);
return lines.join('\n');
}
case 'init': {
const result = await runInit({ env });
return fmt === 'json' ? json(result) : renderInitResult(result, 'plain');
}
case 'status': {
const result = await runStatus({ env });
return fmt === 'json' ? json(result) : renderStatusResult(result, 'plain');
}
case 'mcp-start': {
// Long-running. Exits with the child's exit code; this branch only
// returns once the MCP server child has stopped.
const code = await runMcpStart();
process.exit(code);
// `process.exit` returns `never`, so this is unreachable — but ESLint's
// no-fallthrough rule does no type analysis, so make the terminator explicit.
break;
}
case 'mcp-call': {
const tool = (values['tool'] as string | undefined) ?? positionals[0];
if (!tool) throw new Error('mcp call requires a tool name (e.g. `mcp call recall_memory`)');
let parsedArgs: Record<string, unknown> = {};
const argsRaw = values['args'] as string | undefined;
if (argsRaw) {
try {
parsedArgs = JSON.parse(argsRaw) as Record<string, unknown>;
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
throw new Error(`--args is not valid JSON: ${msg}`);
}
}
const result = await runMcpCall({
tool,
args: parsedArgs,
timeoutMs: intArg(values, 'timeout-ms'),
});
return fmt === 'json' ? json(result) : renderMcpCallResult(result, 'plain');
}
case 'dance-send': {
const message = (values['message'] as string | undefined) ?? positionals.join(' ');
if (!message) throw new Error('dance send requires --message or positional text');
const result = await runDanceSend({
type: (values['type'] as DanceMessageType | undefined) ?? 'broadcast',
subtype: (values['subtype'] as DanceMessageSubtype | undefined) ?? 'discovery',
message,
referenceId: values['reference-id'] as string | undefined,
timeoutMs: intArg(values, 'timeout-ms'),
});
return fmt === 'json' ? json(result) : renderDanceSend(result);
}
case 'dance-receive': {
const result = await runDanceReceive({
since: values['since'] as string | undefined,
limit: intArg(values, 'limit'),
subtype: values['subtype'] as DanceMessageSubtype | undefined,
timeoutMs: intArg(values, 'timeout-ms'),
});
return fmt === 'json' ? json(result) : renderDanceReceive(result);
}
case 'doctor': {
// Wave 1 cleanup — self-diagnostic smoke test independent of upstream hook.
// Spawn probe (Windows .cmd shim) → save+recall frame → cache cleanup.
// Lazy-opens env if not provided (matches status command pattern).
const result = await runDoctor({ env });
// Doctor command sets process exit code via dispatch's caller (index.ts)
// by checking result.ok in the json/plain return shape. We surface a non-zero
// exit through throwing on fail to match the existing dispatch convention.
if (fmt === 'json') {
return json(result);
}
const rendered = renderDoctorResult(result);
if (!result.ok) {
// Throw here so index.ts's top-level catch sets exit code 1.
throw new Error(rendered);
}
return rendered;
}
default:
throw new Error(`Unknown subcommand: "${subcommand}". Try: init, status, doctor, recall-context, save-session, harvest-local, cognify, compile-wiki, maintenance, mcp start, mcp call <tool>, dance send, dance receive`);
}
}

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#!/usr/bin/env node
/**
* hive-mind-cli — command-line tools for the hive-mind memory system.
*
* Subcommands:
* init Scaffold data dir + personal.mind (idempotent)
* status Show frame/entity counts + last activity
* mcp start Run the MCP server in the foreground
* mcp call <tool> [--args JSON] Invoke one MCP tool + print the result
* dance send/receive Exchange messages in the active Waggle Room
* recall-context "<query>" Query the personal mind and print hits
* save-session [--file P] Persist stdin or --file as a memory frame
* harvest-local --source S --path P Import conversations from disk
* cognify [--since N] [--limit N] Heuristic KG entity extraction
* compile-wiki [--mode full] Build/refresh the personal wiki
* maintenance --compact --reconcile --cognify --wiki --wipe-imports
* Batch ops for a nightly cron
*
* Flags common to all subcommands:
* --data-dir P Override HIVE_MIND_DATA_DIR
* --json Emit machine-readable JSON rather than human text
*/
import { parseArgs } from 'node:util';
import { dispatch, type DispatchArgs } from './dispatch.js';
const HELP_FLAGS = new Set(['--help', '-h']);
function requestedHelpTarget(argv: string[]): string | null | undefined {
const [first, second] = argv;
if (!first || HELP_FLAGS.has(first)) return null;
if (!argv.some((arg) => HELP_FLAGS.has(arg))) return undefined;
if ((first === 'mcp' && (second === 'start' || second === 'call')) ||
(first === 'dance' && (second === 'send' || second === 'receive'))) {
return `${first} ${second}`;
}
return first;
}
function parseRootArgs(argv: string[]): DispatchArgs | null {
// Split "subcommand" out before parseArgs so the subcommand name does
// not collide with `--` flags. Two-word subcommands `mcp start` and
// `mcp call <tool>` collapse to `mcp-start` / `mcp-call` so dispatch
// can route with a single switch.
const [first, ...rest] = argv;
if (!first || first === '--help' || first === '-h') {
return null;
}
let subcommand = first;
let afterSubcommand = rest;
if ((first === 'mcp' || first === 'dance') && rest.length > 0) {
subcommand = `${first}-${rest[0]}`;
afterSubcommand = rest.slice(1);
}
const { values, positionals } = parseArgs({
args: afterSubcommand,
allowPositionals: true,
strict: false,
options: {
'data-dir': { type: 'string' },
'json': { type: 'boolean' },
'limit': { type: 'string' },
'scope': { type: 'string' },
'profile': { type: 'string' },
'query': { type: 'string' },
'file': { type: 'string' },
'source': { type: 'string' },
'path': { type: 'string' },
'since': { type: 'string' },
'mode': { type: 'string' },
'concept': { type: 'string', multiple: true },
'compact': { type: 'boolean' },
'wipe-imports': { type: 'boolean' },
'reconcile': { type: 'boolean' },
'reembed-all': { type: 'boolean' },
'rechunk-all': { type: 'boolean' },
'dedupe-entities': { type: 'boolean' },
'consolidate': { type: 'boolean' },
'consolidate-model': { type: 'string' },
'consolidate-limit': { type: 'string' },
'workspace': { type: 'string' },
'all-workspaces': { type: 'boolean' },
'cognify': { type: 'boolean' },
'wiki': { type: 'boolean' },
'max-temp-age-days': { type: 'string' },
'max-deprecated-age-days': { type: 'string' },
'session-label': { type: 'string' },
'importance': { type: 'string' },
'tool': { type: 'string' },
'args': { type: 'string' },
'timeout-ms': { type: 'string' },
'type': { type: 'string' },
'subtype': { type: 'string' },
'message': { type: 'string' },
'reference-id': { type: 'string' },
'help': { type: 'boolean', short: 'h' },
},
});
return { subcommand, values, positionals };
}
function rootHelp(): string {
return [
'Usage: hive-mind-cli <subcommand> [options]',
'',
'Subcommands:',
' init Scaffold data dir + personal.mind (idempotent)',
' status Show frame/entity counts + last activity',
' mcp start Run the hive-mind MCP server (stdio)',
' mcp call <tool> [--args J] Invoke one MCP tool and print the result',
' dance send --message TEXT Send a message to the active Waggle Room',
' dance receive Read messages from the active Waggle Room',
' recall-context "<query>" Search the personal mind and print hits',
' save-session --file PATH Persist a session summary as a memory frame',
' harvest-local --source S --path P Import local AI tool exports',
' cognify Heuristic KG entity extraction from recent frames',
' compile-wiki [--mode M] Build/refresh the personal wiki',
' maintenance --compact ... Batch ops for a nightly cron',
'',
'Common flags:',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
'',
'Environment:',
' HIVE_MIND_DATA_DIR Data directory (default ~/.hive-mind)',
' OLLAMA_URL / OLLAMA_MODEL Preferred embedder and wiki LLM',
' VOYAGE_API_KEY Remote embedder fallback',
' OPENAI_API_KEY Remote embedder fallback',
' ANTHROPIC_API_KEY Wiki synthesizer (Haiku)',
' WAGGLE_DANCE_URL Loopback sidecar URL (injected per run)',
' WAGGLE_RUN_TOKEN Narrow Room credential (injected per run)',
].join('\n');
}
const SUBCOMMAND_HELP: Record<string, string[]> = {
init: [
'Usage: hive-mind-cli init [options]',
'',
'Scaffold the data directory and personal mind database.',
'',
'Options:',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
status: [
'Usage: hive-mind-cli status [options]',
'',
'Show frame/entity counts and recent memory activity.',
'',
'Options:',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
'recall-context': [
'Usage: hive-mind-cli recall-context "<query>" [options]',
'',
'Search the personal mind and print recalled context.',
'',
'Options:',
' --query TEXT Query text, instead of positional input',
' --limit N Maximum hits to return',
' --scope personal|all Search scope',
' --profile NAME Search ranking profile',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
'save-session': [
'Usage: hive-mind-cli save-session [--file PATH] [options]',
'',
'Persist stdin or a file as a memory frame.',
'',
'Options:',
' --file PATH Read session text from a file',
' --session-label TEXT Attach a human label to the saved session',
' --importance LEVEL Memory importance',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
'harvest-local': [
'Usage: hive-mind-cli harvest-local --source SOURCE --path PATH [options]',
'',
'Import local AI tool exports.',
'',
'Options:',
' --source SOURCE chatgpt|claude|claude-code|gemini|universal',
' --path PATH Export file or directory',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
cognify: [
'Usage: hive-mind-cli cognify [options]',
'',
'Extract entities and relations from recent frames.',
'',
'Options:',
' --since N Start after frame id N',
' --limit N Maximum frames to scan',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
'compile-wiki': [
'Usage: hive-mind-cli compile-wiki [options]',
'',
'Build or refresh the personal wiki.',
'',
'Options:',
' --mode incremental|full Compile mode',
' --concept TEXT Compile a specific concept; repeatable',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
maintenance: [
'Usage: hive-mind-cli maintenance [operations] [options]',
'',
'Run batch maintenance operations for cron-style upkeep.',
'',
'Operations:',
' --compact Compact temporary/deprecated frames',
' --wipe-imports Delete imported frames',
' --reconcile Reconcile FTS/vector indexes',
' --cognify Extract entities',
' --wiki Compile wiki pages',
'',
'Options:',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
'mcp start': [
'Usage: hive-mind-cli mcp start [options]',
'',
'Run the hive-mind MCP server in the foreground.',
'',
'Options:',
' -h, --help Show this help',
],
'mcp call': [
'Usage: hive-mind-cli mcp call <tool> [options]',
'',
'Invoke one MCP tool and print the result.',
'',
'Options:',
' --args JSON Tool arguments as JSON',
' --timeout-ms N Request timeout',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
'dance send': [
'Usage: hive-mind-cli dance send --message TEXT [options]',
'',
'Send a scoped message to the active Waggle Room.',
'',
'Options:',
' --type TYPE broadcast|request|response',
' --subtype SUBTYPE WaggleDance protocol subtype',
' --message TEXT Message body (or pass positional text)',
' --reference-id ID Correlate a response with a request',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
'dance receive': [
'Usage: hive-mind-cli dance receive [options]',
'',
'Read messages from the active Waggle Room.',
'',
'Options:',
' --since ISO Return messages after an ISO timestamp',
' --subtype SUBTYPE Filter by protocol subtype',
' --limit N Maximum messages (1-500)',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
doctor: [
'Usage: hive-mind-cli doctor [options]',
'',
'Run a local self-diagnostic smoke test.',
'',
'Options:',
' --data-dir PATH Override HIVE_MIND_DATA_DIR',
' --json Emit JSON rather than human text',
' -h, --help Show this help',
],
};
function printHelp(subcommand?: string | null): void {
const lines = subcommand ? SUBCOMMAND_HELP[subcommand] : null;
console.log(lines ? lines.join('\n') : rootHelp());
}
async function main(): Promise<void> {
const rawArgs = process.argv.slice(2);
const helpTarget = requestedHelpTarget(rawArgs);
if (helpTarget !== undefined) {
printHelp(helpTarget);
process.exit(0);
return;
}
const args = parseRootArgs(rawArgs);
if (!args) {
printHelp(null);
process.exit(args === null ? 0 : 1);
return;
}
if (args.values['data-dir']) {
process.env.HIVE_MIND_DATA_DIR = String(args.values['data-dir']);
}
try {
const output = await dispatch(args);
if (output !== undefined) process.stdout.write(output);
if (output && !output.endsWith('\n')) process.stdout.write('\n');
process.exit(0);
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
console.error(`hive-mind-cli: ${msg}`);
process.exit(1);
}
}
main().catch((err) => {
console.error('hive-mind-cli fatal:', err);
process.exit(1);
});

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import { afterEach, beforeEach, describe, expect, it } from 'vitest';
import { existsSync, mkdtempSync, rmSync } from 'node:fs';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { openPersonalMind, resolveDataDir } from './setup.js';
describe('cli setup', () => {
let dataDir: string;
beforeEach(() => {
dataDir = mkdtempSync(join(tmpdir(), 'hmind-cli-setup-'));
});
afterEach(() => {
try { rmSync(dataDir, { recursive: true, force: true }); } catch { /* ignore */ }
delete process.env.HIVE_MIND_DATA_DIR;
});
it('resolveDataDir() returns ~/.hive-mind when env is unset', () => {
const resolved = resolveDataDir();
expect(resolved.endsWith('.hive-mind')).toBe(true);
});
it('resolveDataDir() honours HIVE_MIND_DATA_DIR', () => {
process.env.HIVE_MIND_DATA_DIR = dataDir;
expect(resolveDataDir()).toBe(dataDir);
});
it('resolveDataDir() expands a leading tilde against $HOME', () => {
process.env.HIVE_MIND_DATA_DIR = '~/some-path';
const resolved = resolveDataDir();
expect(resolved.endsWith('some-path')).toBe(true);
expect(resolved.startsWith('/') || /^[A-Z]:/.test(resolved)).toBe(true);
});
it('openPersonalMind() creates personal.mind and every layer', () => {
const env = openPersonalMind(dataDir);
expect(existsSync(join(dataDir, 'personal.mind'))).toBe(true);
expect(env.frames).toBeDefined();
expect(env.kg).toBeDefined();
expect(env.identity).toBeDefined();
expect(env.awareness).toBeDefined();
expect(env.sessions).toBeDefined();
expect(env.harvestSources).toBeDefined();
expect(env.workspaces).toBeDefined();
expect(env.mindCache).toBeDefined();
env.close();
});
it('getEmbedder() caches the provider across calls', async () => {
const env = openPersonalMind(dataDir);
try {
const a = await env.getEmbedder();
const b = await env.getEmbedder();
expect(a).toBe(b);
} finally {
env.close();
}
});
it('getSearch() wires HybridSearch with the shared MindDB', async () => {
const env = openPersonalMind(dataDir);
try {
const search = await env.getSearch();
expect(search).toBeDefined();
// Same instance on second call.
expect(await env.getSearch()).toBe(search);
} finally {
env.close();
}
});
});

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/**
* Shared CLI setup — resolves the data directory and opens the personal
* MindDB on demand. Kept deliberately thin: each command instantiates
* only the layers it needs, so `recall-context` doesn't pay the cost of
* an embedder probe when the user only wants keyword search.
*/
import fs from 'node:fs';
import path from 'node:path';
import os from 'node:os';
import {
MindDB,
FrameStore,
HybridSearch,
KnowledgeGraph,
IdentityLayer,
AwarenessLayer,
SessionStore,
HarvestSourceStore,
WorkspaceManager,
MultiMindCache,
createEmbeddingProvider,
type EmbeddingProviderConfig,
type EmbeddingProviderInstance,
} from '@waggle/hive-mind-core';
export interface CliEnv {
dataDir: string;
db: MindDB;
frames: FrameStore;
kg: KnowledgeGraph;
identity: IdentityLayer;
awareness: AwarenessLayer;
sessions: SessionStore;
harvestSources: HarvestSourceStore;
workspaces: WorkspaceManager;
mindCache: MultiMindCache;
/** Lazily-probed embedder. Call `getEmbedder()` — subsequent calls reuse the same instance. */
getEmbedder: () => Promise<EmbeddingProviderInstance>;
/** Search against the personal mind with an embedder lazily resolved on first call. */
getSearch: () => Promise<HybridSearch>;
close: () => void;
}
/** Resolve HIVE_MIND_DATA_DIR with ~ expansion; defaults to ~/.hive-mind. */
export function resolveDataDir(): string {
const envDir = process.env.HIVE_MIND_DATA_DIR;
if (envDir) {
if (envDir.startsWith('~')) {
return path.join(os.homedir(), envDir.slice(1));
}
return envDir;
}
return path.join(os.homedir(), '.hive-mind');
}
/**
* Resolve an embedding-provider config from the same env vars as the MCP
* server so a single `.env` file can configure both.
*/
function embedderConfigFromEnv(dataDir: string): EmbeddingProviderConfig {
const explicit = process.env.HIVE_MIND_EMBEDDING_PROVIDER as
| EmbeddingProviderConfig['provider']
| undefined;
let provider: EmbeddingProviderConfig['provider'];
if (explicit) {
provider = explicit;
} else if (process.env.OLLAMA_URL) {
provider = 'ollama';
} else if (process.env.VOYAGE_API_KEY) {
provider = 'voyage';
} else if (process.env.OPENAI_API_KEY) {
provider = 'openai';
} else {
provider = 'mock';
}
return {
provider,
targetDimensions: 1024,
inprocess: { cacheDir: path.join(dataDir, 'models') },
ollama: {
baseUrl: process.env.OLLAMA_URL,
model: process.env.OLLAMA_MODEL,
},
...(process.env.VOYAGE_API_KEY && {
voyage: { apiKey: process.env.VOYAGE_API_KEY },
}),
...(process.env.OPENAI_API_KEY && {
openai: { apiKey: process.env.OPENAI_API_KEY },
}),
};
}
/**
* Open the personal mind + wire every layer. Use the returned `close()`
* to release file handles before the process exits (important on
* Windows, where better-sqlite3 journal files linger otherwise).
*/
export function openPersonalMind(dataDir: string = resolveDataDir()): CliEnv {
fs.mkdirSync(dataDir, { recursive: true });
const dbPath = path.join(dataDir, 'personal.mind');
const db = new MindDB(dbPath);
const frames = new FrameStore(db);
const kg = new KnowledgeGraph(db);
const identity = new IdentityLayer(db);
const awareness = new AwarenessLayer(db);
const sessions = new SessionStore(db);
const harvestSources = new HarvestSourceStore(db);
const workspaces = new WorkspaceManager(dataDir);
const mindCache = new MultiMindCache({
maxOpen: 20,
getMindPath: (id: string) => workspaces.getMindPath(id),
});
let _embedder: EmbeddingProviderInstance | null = null;
let _search: HybridSearch | null = null;
const getEmbedder = async (): Promise<EmbeddingProviderInstance> => {
if (_embedder) return _embedder;
_embedder = await createEmbeddingProvider(embedderConfigFromEnv(dataDir));
return _embedder;
};
const getSearch = async (): Promise<HybridSearch> => {
if (_search) return _search;
const embedder = await getEmbedder();
_search = new HybridSearch(db, embedder);
return _search;
};
return {
dataDir,
db,
frames,
kg,
identity,
awareness,
sessions,
harvestSources,
workspaces,
mindCache,
getEmbedder,
getSearch,
close: () => {
mindCache.closeAll();
try { db.close(); } catch { /* already closed */ }
},
};
}

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import { spawn } from 'node:child_process';
import fs from 'node:fs';
import os from 'node:os';
import path from 'node:path';
import { describe, expect, it } from 'vitest';
const ROOT = path.resolve(import.meta.dirname, '..', '..', '..');
const HIVE_MIND_CLI_DIR = path.join(ROOT, 'packages', 'hive-mind-cli');
function bin(name: string): string {
return process.platform === 'win32' ? `${name}.cmd` : name;
}
function makeDataDir(): string {
return fs.mkdtempSync(path.join(os.tmpdir(), 'hive-mind-cli-help-'));
}
interface AsyncRunResult {
status: number | null;
signal: NodeJS.Signals | null;
stdout: string;
stderr: string;
}
function run(command: string, args: string[], dataDir: string): Promise<AsyncRunResult> {
return runInCwd(command, args, ROOT, dataDir);
}
function runInCwd(
command: string,
args: string[],
cwd: string,
dataDir: string,
): Promise<AsyncRunResult> {
return new Promise((resolve, reject) => {
const child = spawn(command, args, {
cwd,
env: {
...process.env,
HIVE_MIND_DATA_DIR: dataDir,
},
shell: process.platform === 'win32' && command.endsWith('.cmd'),
});
let stdout = '';
let stderr = '';
child.stdout.setEncoding('utf8');
child.stderr.setEncoding('utf8');
child.stdout.on('data', (chunk) => { stdout += chunk; });
child.stderr.on('data', (chunk) => { stderr += chunk; });
child.on('error', reject);
child.on('close', (status, signal) => resolve({ status, signal, stdout, stderr }));
});
}
function personalMindExists(dataDir: string): boolean {
return fs.existsSync(path.join(dataDir, 'personal.mind'));
}
const HIVE_MIND_CLI_PACKAGE_CLOSURE = [
'@waggle/shared',
'@waggle/hive-mind-core',
'@waggle/hive-mind-wiki-compiler',
'@waggle/hive-mind-mcp-server',
'@waggle/hive-mind-cli',
] as const;
describe('hive-mind CLI subcommand help', () => {
it('prints init help without creating a personal mind', async () => {
const dataDir = makeDataDir();
try {
const result = await run(bin('npx'), [
'tsx',
'packages/hive-mind-cli/src/index.ts',
'init',
'--help',
], dataDir);
expect(result.status).toBe(0);
expect(result.stdout).toContain('Usage: hive-mind-cli init');
expect(result.stdout).toContain('--data-dir PATH');
expect(result.stderr).toBe('');
expect(personalMindExists(dataDir)).toBe(false);
} finally {
fs.rmSync(dataDir, { recursive: true, force: true });
}
});
it('prints built status help without creating a personal mind', async () => {
const dataDir = makeDataDir();
try {
const build = await run(bin('npm'), ['run', 'build', '--workspace', '@waggle/hive-mind-cli'], dataDir);
expect(build.status).toBe(0);
const result = await run(process.execPath, [
path.join(HIVE_MIND_CLI_DIR, 'dist', 'index.js'),
'status',
'--help',
], dataDir);
expect(result.status).toBe(0);
expect(result.stdout).toContain('Usage: hive-mind-cli status');
expect(result.stdout).toContain('--json');
expect(result.stderr).toBe('');
expect(personalMindExists(dataDir)).toBe(false);
} finally {
fs.rmSync(dataDir, { recursive: true, force: true });
}
});
it('installs the local package closure and runs npx subcommand help', async () => {
const dataDir = makeDataDir();
try {
const packsDir = path.join(dataDir, 'packs');
const projectDir = path.join(dataDir, 'project');
fs.mkdirSync(packsDir, { recursive: true });
fs.mkdirSync(projectDir, { recursive: true });
const dependencies: Record<string, string> = {};
for (const workspace of HIVE_MIND_CLI_PACKAGE_CLOSURE) {
const build = await run(bin('npm'), ['run', 'build', '--workspace', workspace], dataDir);
expect(build.status).toBe(0);
const pack = await run(
bin('npm'),
['pack', '--workspace', workspace, '--pack-destination', packsDir, '--json'],
dataDir,
);
expect(pack.status).toBe(0);
const [packResult] = JSON.parse(pack.stdout) as Array<{ filename: string }>;
const tarball = path.join(packsDir, packResult.filename).replace(/\\/g, '/');
dependencies[workspace] = `file:${tarball}`;
}
fs.writeFileSync(
path.join(projectDir, 'package.json'),
JSON.stringify({ private: true, type: 'module', dependencies }, null, 2),
);
const install = await runInCwd(
bin('npm'),
['install', '--no-audit', '--no-fund', '--prefer-offline'],
projectDir,
dataDir,
);
expect(install.status).toBe(0);
const result = await runInCwd(
bin('npx'),
['hive-mind-cli', 'status', '--help'],
projectDir,
dataDir,
);
expect(result.status).toBe(0);
expect(result.stdout).toContain('Usage: hive-mind-cli status');
expect(result.stdout).toContain('--json');
expect(result.stderr).toBe('');
expect(personalMindExists(dataDir)).toBe(false);
} finally {
fs.rmSync(dataDir, { recursive: true, force: true });
}
}, 120_000);
});

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{
"extends": "../../tsconfig.base.json",
"compilerOptions": {
"composite": true,
"rootDir": "./src",
"outDir": "./dist",
"tsBuildInfoFile": "./dist/.tsbuildinfo"
},
"references": [
{ "path": "../hive-mind-core" },
{ "path": "../hive-mind-mcp-server" },
{ "path": "../hive-mind-wiki-compiler" }
],
"include": ["src/**/*.ts"],
"exclude": ["dist", "node_modules", "**/*.test.ts", "**/*.spec.ts"]
}

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import { defineConfig } from 'vitest/config';
export default defineConfig({
test: {
environment: 'node',
include: ['src/**/*.test.ts', 'tests/**/*.test.ts'],
},
});