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---
type: concept
name: Development Velocity
confidence: 0.95
sources: 14
last_compiled: 2026-04-13
---
# Development Velocity
## Summary
This page synthesizes patterns across 20 development sessions to understand
how [[Waggle OS]] actually gets built — what works, what doesn't, and what
the data says about productivity.
No single session handoff contains this analysis. It emerges from looking
across all of them.
## Velocity by Phase
| Period | Sessions | Commits | Key Output |
|--------|----------|---------|------------|
| Mar 27-31 | 5 | ~10 | M2 sprint: P0 fixes, resilience, cleanup |
| Apr 1-5 | 4 | ~8 | Deep refactoring, multiple audit rounds |
| Apr 6-7 | 2 | ~6 | Agent intelligence sprint (9 features, 112 tests) |
| Apr 8 | 1 | 6 | Structural refactors (chat.ts, personas.ts split) |
| Apr 9-10 | 2 | 11 | ULTRAPLAN Phases 1-9 (120 files, 17K lines) |
| Apr 11 | 1 | 17 | Phases A+B (12 feature + 5 polish commits) |
| Apr 12 | 5 | ~30 | Phases C+D, E2E, tier restructure, binary |
| Apr 13 | 2 | 33 | Entire backlog + Memory MCP + Wiki Compiler spec |
**Total: ~20 sessions, ~120 commits, 18 days from "all broken" to backlog cleared.**
## What Accelerated
1. **CLAUDE.md as contract.** Once the authoritative CLAUDE.md was in place
(around Apr 8), sessions became dramatically more productive. The agent
could self-direct against a clear spec instead of guessing.
2. **"You lead" delegation.** Marko's shift to *"yes whatever you choose you
lead"* (Apr 12-13) enabled marathon autonomous sessions. 29 commits in a
single session wouldn't happen with approval on every change.
3. **Memory handoffs.** Session handoff memory files let each new session pick
up exactly where the last left off. No ramp-up time. The first message is
"continue" and work starts immediately.
4. **Playwright over manual testing.** After Marko burned out on manual binary
verification (Apr 12), switching to headless Playwright E2E removed the
human bottleneck. 96 E2E tests replaced "click here, does it work?"
## What Slowed Down
1. **The "all broken" period (Apr 1).** Multiple restart cycles, CORS errors,
vault invisible, agents returning "local mode." Lost ~half a day to
debugging basic wiring issues.
2. **Audit fatigue (Apr 1).** Marko asked for 4+ full codebase audit rounds
in a single day. Each audit found real issues, but diminishing returns
set in. The fix: ship and iterate, not audit to perfection.
3. **Context resets.** New sessions without clear handoffs required re-reading
the entire codebase state. The memory system solved this but took until
Apr 8 to be fully operational.
4. **Binary build + test cycle.** Building the Tauri binary takes minutes.
Testing it manually takes more. This blocked the feedback loop until
Playwright replaced manual testing.
## The Mega Session Pattern
The most productive sessions follow a pattern:
1. Clear handoff note from previous session
2. Marko says "continue" or gives broad direction
3. Agent reads state, makes a plan, executes autonomously
4. Marko checks in periodically for strategic steering
5. Session ends with detailed handoff note
The April 13 mega session (29 commits) is the purest example. Marko gave
broad directives ("do team server", "compose new docker", "go for ollama")
and the agent executed full feature implementations autonomously.
## Contradiction
The April 1 "audit everything" approach vs. the April 13 "you lead" approach
represent opposite strategies. Both produced results, but the "you lead"
approach produced 3-5x more output per session. The audit approach caught
real bugs but also burned time on diminishing-return passes.
**Resolution:** The optimal pattern is likely: "you lead" for implementation,
followed by one focused review pass (not 4).

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---
type: concept
name: Mind Architecture
confidence: 0.96
sources: 6
last_compiled: 2026-04-13
related_entities:
- Waggle OS
---
# Mind Architecture
## Summary
The .mind file is [[Waggle OS]]'s core technical innovation — a single SQLite
database per user or workspace that stores persistent memory in a 6-layer
architecture inspired by video codecs (I-Frames and P-Frames).
## The 6 Layers
| Layer | Name | Content | Load Time | Size |
|-------|------|---------|-----------|------|
| 0 | Identity | WHO the agent is (name, role, personality) | <1ms | ~500 tokens |
| 1 | Awareness | WHERE the agent is (active tasks, context) | <50ms | ~2000 tokens |
| 2 | Memory Stream | I-Frames (snapshots) + P-Frames (deltas) | <200ms | Unbounded |
| 3 | Knowledge Graph | Entities + typed relations + confidence | Query-time | Unbounded |
| 4 | Session Store | Frame grouping by session/conversation | Query-time | Unbounded |
| 5 | Embedding Index | sqlite-vec vectors for semantic search | Query-time | ~50MB |
## How Search Works
Hybrid search combining three strategies with Reciprocal Rank Fusion (RRF):
1. **BM25** via FTS5 — catches exact keyword matches
2. **Vector similarity** via sqlite-vec — catches semantic meaning
3. **Knowledge Graph traversal** — catches relationship-based connections
## Key Design Decisions
- **SQLite, not Postgres:** Zero external dependencies. Embedded. Portable.
A .mind file IS the memory — copy it, and the agent's memory travels with it.
- **Video codec metaphor:** I-Frames are complete snapshots (like keyframes).
P-Frames are deltas/updates. This enables efficient storage with temporal
reconstruction.
- **Confidence scoring:** Every entity and relation has a confidence score
(0-1). Multiple sources reinforcing the same fact increase confidence.
Contradictions lower it.
- **Frame sources:** Every frame is tagged: user_stated, tool_verified,
agent_inferred, system, import. This enables trust hierarchies.
## Scale
Target: ~500MB-1GB per .mind file per employee. Current personal.mind has 202
frames and 2,734 entities. Production workloads expected to reach thousands
of frames with sub-200ms query times.
## Relations
- [[Waggle OS]] — the product built on this architecture
- [[LLM Provider Stack]] — how the agent routes LLM requests for memory operations

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---
type: entity
entity_type: organization
name: Egzakta Group
confidence: 0.93
sources: 5
last_compiled: 2026-04-13
related_entities:
- Waggle OS
- KVARK
- Marko Markovic
---
# Egzakta Group
## Summary
Egzakta Group is a EUR 31M technology group founded in 2005 by three partners:
[[Marko Markovic]], Zoran Radisavljevic, and Nenad Tesic. The holding company
(Egzakta Holding BV) is domiciled in the Netherlands for EU positioning.
The group has 200+ professionals and targets 400+ by 2028.
## Key Facts
- **Founded:** 2005 (19 years of operation)
- **Founders:** Marko Markovic, Zoran Radisavljevic, Nenad Tesic
- **Holding:** Egzakta Holding BV (Netherlands)
- **Team size:** 200+ professionals, targeting 400+ by 2028
- **Revenue:** EUR 31M normalized (2025)
- **Presence:** European expansion in progress
## Strategic Positioning
The group operates a 4-layer technology stack. LinkedIn content and product
promotion must reflect the REAL scale and ambition — not a solo consultant,
but a founding partner of a EUR 31M technology group with European expansion
ambitions.
## Products
- [[KVARK]] — Sovereign enterprise AI platform (EUR 1.2M contracted)
- [[Waggle OS]] — AI agent platform (demand-gen for KVARK)
## Business Model (for Waggle)
Decided 2026-03-06 during brainstorm:
- **Open core** (like GitLab, Supabase, Cal.com)
- **Open source:** agent core, MCP framework, skill engine, basic clients
- **Proprietary:** GEPA engine, Memory Weaver, multi-tenant server, admin, SSO
- NOT just for companies — individuals, students, one-man shops too
- "Like Office 365: both personal and enterprise"
- Commercial, fee-based, cheap, go for volumes
## Relations
- [[Waggle OS]] — AI platform product, demand-gen engine
- [[KVARK]] — Enterprise AI platform, EUR 1.2M contracted
- [[Marko Markovic]] — Co-founder and primary builder

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---
type: entity
entity_type: project
name: KVARK
confidence: 0.91
sources: 8
last_compiled: 2026-04-13
related_entities:
- Egzakta Group
- Waggle OS
- EU AI Act Compliance
---
# KVARK
## Summary
KVARK is [[Egzakta Group]]'s sovereign enterprise AI platform — the top of the
Waggle funnel. It deploys AI infrastructure on customer premises with full data
sovereignty, governance, and audit trails.
## Key Facts
- **Revenue:** EUR 1.2M contracted
- **Product site:** https://www.kvark.ai
- **Positioning:** "Everything Waggle does — on your infrastructure, connected
to all your internal systems. Full data pipeline injection, your permissions,
complete audit trail, governance. Your data never leaves your perimeter."
- **Target:** Enterprise customers who need sovereign AI deployment
- **Compliance angle:** DORA + NIS2 + AI Act + GDPR convergence
## Funnel from Waggle
```
Waggle Free → Pro ($19) → Teams ($49/seat) → KVARK (consultative sale)
```
[[Waggle OS]] is the demand-creation and qualification engine. Users experience
AI-native work individually, upgrade to teams for institutional knowledge,
then need enterprise governance → KVARK.
## Enterprise Pitch
> "Every AI interaction your organization has — across email, Slack, meetings,
> code reviews, customer calls — automatically captured in a living knowledge
> base. Your people get a second brain. Your compliance team gets an AI Act
> audit trail. With KVARK: all on YOUR infrastructure."
## Technical Integration
- `kvark-tools.ts` in Waggle agent package: `kvark_search`, `kvark_ask_document`
- Gated to Business/Enterprise tiers
- License server: https://license.waggle-os.ai/validate
- SaaS cloud: https://cloud.waggle-os.ai
## Relations
- [[Egzakta Group]] — parent company
- [[Waggle OS]] — demand-gen funnel
- [[EU AI Act Compliance]] — compliance-by-default strengthens KVARK pitch

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---
type: entity
entity_type: person
name: Marko Markovic
confidence: 0.97
sources: 20
last_compiled: 2026-04-13
---
# Marko Markovic
## Who He Is
Co-founder of [[Egzakta Group]] (EUR 31M, 200+ people, founded 2005) alongside
Zoran Radisavljevic and Nenad Tesic. Primary developer and product owner of
[[Waggle OS]]. Strategic lead on [[KVARK]].
Based in Serbia. EU presence via Netherlands holding (Egzakta Holding BV).
## What He's Building
| Project | Role | Status |
|---------|------|--------|
| [[Waggle OS]] | Sole developer + product owner | Near launch, backlog cleared |
| [[KVARK]] | Strategic lead | EUR 1.2M contracted |
| The AI Sovereignty Report | Author | LinkedIn newsletter, launched Apr 2026 |
| Cortex | Architect | Concept — personal intelligence cockpit |
| ReFarm Discovery | Project lead | Delivered — 9.6 MB proposal for vertical farming |
| KRA Proposal | Proposal author | Kenya Revenue Authority, World Bank procurement |
## LinkedIn Presence
- **Followers:** 4,521
- **Impressions:** 340K+
- **Viral posts:** AI Compliance Officer (26 reshares, 11 comments), 5,600 Startups (246 reshares, 47 comments)
- **Auto-posting:** Maton.ai gateway + GitHub Actions cron (repo: marolinik/SocialPresence)
- **Newsletter:** "The AI Sovereignty Report" — LinkedIn's algorithm heavily boosts newsletters. All 4,521 followers auto-invited on creation.
## How He Works (observed across 422 messages, 20 sessions)
**Decision-making:** Fast, opinionated, delegates execution. Typical pattern:
states a direction in 1-2 sentences, expects the agent to plan and execute.
Examples: *"yes whatever you choose you lead"*, *"do team server, you have
all docker running"*, *"compose new docker, kill the old one."*
**Marathon sessions:** Prefers long, intensive sessions over many short ones.
The April 12-13 stretch was 29 commits in a single session. Multiple sessions
run 6-12 hours.
**Quality bar:** Demands deep audits. *"one more turn pls again using
CLAUDE.md on rules, whole code"* — asked for 4+ full codebase audit rounds
in a single day (April 1). Wants "perfect UI/UX" — not just functional.
**Frustration triggers:** Broken basic functionality (*"fuck all broken"* when
the agent returned "local mode" errors). Long waits with no progress
(*"what is happening 44 mins..."*). Having to click things manually when the
agent should be leading via Playwright.
**Strategic thinking:** Regularly jumps from implementation to big-picture.
Mid-session will pivot to topics like EU AI Act compliance, Karpathy's LLM
Wiki, newsletter strategy, KVARK enterprise pitch. Expects the agent to
context-switch fluidly.
**Hardware:** Windows laptop with 2 GPUs (NVIDIA RTX 5070, 8GB), Intel Ultra 9
285H, 64GB RAM. Asked about GPU memory ranges and which laptop has the largest
GPU (March 28).
## Key Decisions Made
| Date | Decision | Context |
|------|----------|---------|
| Mar 6 | Name: "Waggle" | Brainstorm with bee metaphor mapping |
| Mar 6 | Open core model | Like GitLab/Supabase — open agent core, proprietary GEPA/Weaver |
| Mar 6 | Not just enterprise — individuals, students too | "Like Office 365: both personal and enterprise" |
| Apr 1 | Full refactor after "all broken" | Multiple audit rounds, strict CLAUDE.md adherence |
| Apr 10 | Memory Harvest is P0 | "Bring Your Memory Home" as primary enterprise hook |
| Apr 12 | Tier restructure | Trial 15d → Free → Pro $19 → Teams $49 → KVARK |
| Apr 12 | Memory + Harvest free forever | Moat strategy — never paywall the core value |
| Apr 13 | Wiki Compiler spec | Karpathy extension, open-source dual track |
| Apr 13 | Universal source pipeline | Full second brain, not just AI agent memory |
| Apr 13 | EU AI Act as compliance layer | Second brain IS the audit trail |

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---
type: entity
entity_type: project
name: Waggle OS
confidence: 0.98
sources: 25
last_compiled: 2026-04-13
---
# Waggle OS
## What It Is
A desktop AI agent platform where agents have persistent memory, communicate
via the Waggle Dance protocol, and work across isolated workspaces. Ships as
a Tauri 2.0 binary (Windows + macOS) with a React frontend and Node.js sidecar.
Strategic function: demand-creation engine for [[KVARK]]. Users experience
AI-native work individually, get hooked on persistent memory, upgrade to teams,
then need sovereign deployment.
Named after the waggle dance — how bees communicate location of food sources.
Chosen March 6, 2026. Runners-up: Hivemind, Apis, Mycel.
## Tech Stack
- **Frontend:** React 18 + TypeScript + Vite + Tailwind + shadcn/ui
- **Desktop shell:** Tauri 2.0 (Rust)
- **Backend:** Fastify sidecar (Node.js, bundled into Tauri)
- **Memory:** SQLite via better-sqlite3 + sqlite-vec (see [[Mind Architecture]])
- **Auth:** Clerk (JWT)
- **Design:** Hive DS — honey #e5a000, hive-950 #08090c, accent #a78bfa
- **LLM routing:** 3-layer stack (see [[LLM Provider Stack]])
## What's Built (verified April 13)
| Feature | Status |
|---------|--------|
| 22 agent personas | Shipped |
| 80+ agent tools | Shipped |
| 148 MCP connectors (visual catalog) | Shipped |
| 6-layer .mind memory architecture | Shipped |
| Memory Harvest (ChatGPT, Claude, Gemini, Claude Code) | Shipped |
| Knowledge Graph (typed entities + relations) | Shipped |
| HybridSearch (FTS5 + vector + RRF) | Shipped |
| Per-workspace isolation + cross-workspace search | Shipped |
| Shared team memory (push-on-write, pull-on-activate) | Shipped |
| S3/MinIO storage for team files | Shipped |
| Tiered autonomy (Normal/Trusted/YOLO) | Shipped |
| The Room (multi-window workspace with per-window personas) | Shipped |
| Trial expiry modal + onboarding auto-trial | Shipped |
| Budget hard cap (soft warn + hard stop) | Shipped |
| Ollama/local inference (hardware scan + model recs) | Shipped |
| Docker stack (Postgres, Redis, MinIO, LiteLLM) | Shipped |
| 40/40 E2E tests passing | Shipped |
| Memory MCP plugin (14 tools, 5 fixes applied) | Shipped |
## Monetization
See [[Tier Strategy]] for full details.
Trial 15d (everything) → Free (5ws, agents) → Pro $19 → Teams $49/seat → KVARK.
Memory + Harvest free forever as moat.
## The Journey (what actually happened)
**The ugly start (Mar 27 - Apr 1):** Backend broken, CORS issues, vault
invisible, agents returning "local mode" errors. Marko: *"fuck all broken."*
Multiple restart-the-server cycles. Deep audit rounds to find unwired code.
**The grind (Apr 1-7):** Multiple full-codebase audit passes. UI/UX overhaul
with 12-persona simulation and 48-gap analysis. Agent intelligence sprint —
9 features, 112 tests. Persona expansion to 22.
**The acceleration (Apr 8-10):** Structural refactors (chat.ts, personas.ts
split). ULTRAPLAN Phases 1-9 in a single mega session (11 commits, 120 files,
17K lines). First real Memory Harvest — 156 frames from Claude Code sessions.
**The killer sprint (Apr 11-12):** Phases A+B (The Room, filesystem, tiered
autonomy) in one day. Binary verification — 11 bugs found and fixed. E2E
suite green. Phases C+D. Tier restructure. Binary built.
**The mega finish (Apr 13):** 29 commits. Entire P0-P4 backlog cleared. Team
memory, S3 storage, global KG, budget cap, Ollama, Memory MCP plugin — all
shipped in one session. Dead `app/src/` removed (13K LOC, 77 files).
## What's Left
1. **Stripe products** — Marko creates PRO + TEAMS in Stripe dashboard
2. **Code signing** — purchase certificate for Windows installer
3. **Wiki Compiler** — spec complete (1,639 lines), not yet built
4. **GEPA prompt optimization** — enable smaller models matching Opus quality
## Known Architectural Decisions
- **Open core model** (like GitLab, Supabase) — open: agent core, MCP, skills.
Proprietary: GEPA, Memory Weaver, multi-tenant server, admin, SSO.
- **Desktop-first, not web-first** — Tauri for native performance + local data
- **SQLite not Postgres for personal data** — zero deps, portable, .mind file IS the memory
- **Memory + Harvest free forever** — moat strategy, never paywall the core value

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---
type: health
last_compiled: 2026-04-13
---
# Wiki Health Report
## Source Quality Assessment
| Source | Files | Quality | Notes |
|--------|-------|---------|-------|
| Memory handoffs | 12 | Excellent | Curated, structured, timestamped |
| Strategy memories | 5 | Excellent | Decisions with rationale |
| Feature memories | 4 | Good | Technical specs, architecture |
| Feedback memories | 1 | Good | Clear behavioral guidance |
| Session JSONL files | 20 | Raw | 422 user messages, needs extraction |
| personal.mind frames | 202 | Poor | 80% E2E test pollution |
| personal.mind KG | 2,734 entities | Very Poor | 80% misclassified noise |
**Verdict:** Memory files are the gold standard. Session JSONLs have real
decisions but need filtering. personal.mind is polluted from automated testing
and should NOT be used as a compilation source until cleaned.
## Gaps — Topics That Should Have Pages But Don't
### Critical (referenced in 5+ sources, no synthesis)
- **Memory Harvest Pipeline** — core feature, mentioned everywhere, no dedicated page
explaining what adapters exist, what the UX flow is, what's imported vs. not
- **Docker Stack** — Postgres, Redis, MinIO, LiteLLM all in docker-compose.yml
but no page explaining what each does and how they wire together
- **Agent Architecture** — 22 personas, 80+ tools, but no synthesis page on
how the agent loop works, how personas are selected, how tools are filtered
### Important (referenced in 2-4 sources)
- **Onboarding Flow** — 7-step wizard, revised multiple times, no synthesis
- **Design System (Hive DS)** — tokens, colors, components scattered across sessions
- **E2E Testing Strategy** — evolved from manual to Playwright, no summary
### Missing Relations
- Marko ↔ Zoran Radisavljevic (co-founders, never linked)
- Marko ↔ Nenad Tesic (co-founders, never linked)
- Waggle OS ↔ Tauri 2.0 (core dependency, not an entity)
- KVARK ↔ DORA/NIS2 (compliance regulations that strengthen the pitch)
## Contradictions
### Entity Count Evolution
- Mar 17: "13 personas, 28 connectors"
- Apr 9: "22 personas, 102 MCP servers"
- Apr 10: "22 personas, 148 MCP servers"
- Apr 13: "22 personas, 148 MCP connectors"
**Status:** Not a contradiction — shows growth over time. Timeline captures this.
### Test Count
- Mar 23: 298/299 tests
- Apr 7: 4,409 tests (after agent intelligence sprint)
- Apr 12: 96 E2E tests (separate suite)
- Apr 13: 40/40 E2E (trimmed to stable subset)
**Status:** Different test suites measured at different times. Clarify in
[[Waggle OS]] page which suites are which.
### Tier Pricing
- Original: Solo/Teams/Business/Enterprise (4 tiers)
- Apr 12 restructure: Trial/Free/Pro $19/Teams $49/KVARK (5 tiers)
**Status:** Resolved — new structure is canonical.
## Data Quality Recommendations
1. **Clean personal.mind KG** — delete entities with names matching common
nouns/verbs ("Begin Week", "High Risk", etc.). Dedup by normalized name.
This is prerequisite for any automated wiki compilation.
2. **Extract decisions from session JSONLs** — Marko's messages contain
real strategic decisions ("memory + harvest free forever", "open core
model", "not just enterprise"). These should be first-class decision
frames, not buried in chat logs.
3. **Link memory files to git commits** — each handoff references commit
hashes. Cross-linking would enable "what was built in this session" →
actual code changes.
## Compilation Statistics
| Metric | Value |
|--------|-------|
| Memory files used | 29 |
| Session JSONLs scanned | 20 (422 user messages) |
| Pages compiled | 7 |
| Pages that should exist | ~25-30 |
| Compilation time | ~3 minutes (manual, this test) |
| Estimated automated cost | ~$0.08 (Haiku, 7 pages) |

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# Marko's Second Brain — Wiki Index
*Compiled from 29 memory files + 422 session messages + git history.*
*Source: Claude Code sessions, March 27 — April 13, 2026.*
*Last compiled: 2026-04-13*
---
## Organizations
- [[Egzakta Group]] — EUR 31M tech group, 200+ people, 3 founders, Netherlands holding
## Products
- [[Waggle OS]] — Desktop AI agent platform with persistent memory
- [[KVARK]] — Sovereign enterprise AI platform (EUR 1.2M contracted)
## People
- [[Marko Markovic]] — Co-founder, Egzakta. Builder of everything here.
## Concepts
- [[Mind Architecture]] — 6-layer video-codec memory in SQLite (.mind files)
- [[Tier Strategy]] — Trial 15d → Free → Pro $19 → Teams $49 → KVARK
- [[EU AI Act Strategy]] — Compliance by default, Aug 2 2026 deadline
- [[Memory Harvest]] — Import AI conversations from any platform
- [[Wiki Compiler]] — Karpathy LLM Wiki + Waggle memory = second brain (THIS)
## Development Timeline
| Date | What Happened | Sessions |
|------|--------------|----------|
| Mar 6 | Name chosen: "Waggle" (from waggle dance). Vision, business model. | Brainstorm |
| Mar 11 | Phase 3 gap analysis — 48 critical gaps identified | Analysis |
| Mar 17 | B2B lead gen stress test — agent speed/persistence gaps found | Testing |
| Mar 23 | UAT score 84/100, "Honey on Dark Steel" design system | M2 |
| Mar 27-31 | M2 sprint — 13 sessions, 10 commits. P0 fixes, network resilience, TS cleanup, keyboard flow, telemetry | M2 Sprint |
| Apr 1-5 | Deep refactoring marathon — multiple audit rounds, UI/UX overhaul | Refactor |
| Apr 6-7 | Agent intelligence sprint — 9 features, 112 tests, persona expansion | Phase 1 |
| Apr 8 | Structural refactors — chat.ts split, personas.ts split, tools extract | Session 2 |
| Apr 9-10 | ULTRAPLAN Phases 1-9 complete. 148 MCP servers. Real harvest (156 frames). | Mega session |
| Apr 11 | Phases A+B: The Room, per-session orchestrators, tiered autonomy. 50 tests. | Killer day |
| Apr 12 (AM) | Phase A/B binary verification. 11 bugs fixed. | Verification |
| Apr 12 (PM) | E2E suite 13/13 green. System map. Loading shimmer. | Polish |
| Apr 12 (EVE) | Phases C+D. 96 E2E. Tier restructure. Binary built. | Mega session |
| Apr 12 (NIGHT) | 3 P0s fixed. WeaverPanel. 101 dirty files committed. | Cleanup |
| Apr 12 (S2) | Trial expiry modal. MultiMindCache. Cross-workspace search. | Features |
| Apr 13 | **29 commits.** Team memory, S3/MinIO, KG, budget cap, Ollama, Memory MCP. Entire backlog cleared. | MEGA |
| Apr 13 (now) | Memory MCP 5 fixes. Wiki Compiler spec (1,639 lines). | This session |
## Open Items
- **Stripe:** Create PRO ($19) + TEAMS ($49) products in dashboard
- **Code signing:** Purchase certificate for Windows installer
- **Wiki Compiler:** 1,639-line spec ready, not yet implemented