moving

docs/wiki-test/concepts/mind-architecture.md

@@ -0,0 +1,59 @@
+---
+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