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+# ADR-076: UOK Memory Integration for Autonomous Learning
+
+**Status:** Accepted  
+**Date:** 2026-05-07  
+**Supersedes:** None  
+**Related:** ADR-0075 (UOK Gate Architecture), ADR-008 (SF Tools Over MCP)
+
+## Decision
+
+SF's autonomous dispatch and UOK kernel integrate with the existing SQLite-backed memory system for pattern learning and context-aware decision-making. Memory operations use fire-and-forget async to never block dispatch.
+
+## Problem
+
+SF's dispatch and UOK execution had no feedback loop for learning. Each unit executed independently without recording outcomes or learning from patterns. This prevented:
+- Learning which unit types succeed or fail
+- Understanding task dependencies
+- Improving dispatch decisions over time
+- Detecting recurring issues (gotchas)
+
+## Solution
+
+### Three Integration Points
+
+**Phase 1: Unit Outcome Recording**
+- `recordUnitOutcomeInMemory(unit, status, result)` in unit-runtime.js
+- Records every unit completion as a learned pattern
+- Success: 0.9 confidence (strong signal)
+- Failure: 0.5 confidence (weaker signal, more variability)
+- Fire-and-forget async; never blocks execution
+
+**Phase 2: Dispatch Ranking Enhancement**
+- `enhanceUnitRankingWithMemory(units, baseScores)` in auto-dispatch.js
+- Queries memory for similar unit types
+- Boosts matching candidates by up to 15% of pattern confidence
+- Deterministic embeddings ensure consistent ranking
+- Gracefully degrades if DB unavailable
+
+**Phase 3: Gate Context Enrichment**
+- `enrichGateResultWithMemory(gateResult, gateId)` in gate-runner.js
+- Enriches gate failures with historical pattern diagnostics
+- Pure diagnostic; never changes gate pass/fail decisions
+- Helps operators understand recurring issues
+
+### Architecture
+
+```
+UOK Kernel (executes units)
+  ↓ records outcomes via
+Unit Runtime (recordUnitOutcomeInMemory)
+  ↓ stores patterns in
+Memory System (SQLite, Node 24 native)
+  ↓ queried by
+Dispatch (enhanceUnitRankingWithMemory)
+  ↓ boosts scores for matching patterns
+  ↓ selected unit executes
+  ↓ outcome recorded → feedback loop
+```
+
+### Memory Categories
+
+- `pattern` — Unit type completion patterns (success/failure)
+- `gotcha` — Recurring issues discovered
+- `architecture` — Design decisions
+- `convention` — Coding standards
+- `environment` — Configuration, setup
+- `preference` — Optimization decisions
+
+## Rationale
+
+1. **Maximize kernel + DB** — Single UOK kernel, memory as DB layer, no multiplication
+2. **Fire-and-forget async** — Memory never blocks critical path; safe degradation
+3. **Existing infrastructure** — SF already has 10 memory modules; no duplication
+4. **Node 24 native SQLite** — No external dependencies; efficient storage
+5. **Confidence scoring** — Learned patterns inform but don't dominate decisions
+6. **Pure diagnostic gates** — Gate failures become learning opportunities, not gate logic change
+
+## Consequences
+
+### Benefits
+- Autonomous pattern discovery
+- Better dispatch ranking over time
+- Recurring issues visible to operators
+- Fire-and-forget prevents latency impact
+- Graceful degradation if DB unavailable
+- No external service dependencies
+
+### Drawbacks
+- Memory DB growth over time (mitigated by decay/supersession)
+- Embeddings require compute (mitigated by deterministic hashing)
+- Learning only visible over multiple runs
+
+## Implementation Details
+
+### Confidence Strategy
+- **Success patterns:** 0.9 confidence (strong signal)
+- **Failure patterns:** 0.5 confidence (weaker, more variability)
+- **Memory boost:** Max 15% of pattern confidence (conservative to avoid over-fitting)
+- **Threshold:** No minimum; filtering happens at query time via confidence scoring
+
+### Graceful Degradation
+All memory operations fail silently without blocking:
+- DB unavailable → dispatch continues without boost
+- Memory lookup fails → continue with base scores
+- Embedding computation fails → use default embedding
+- Gate enrichment fails → return original result
+
+### Vector Strategy
+- 128-dimensional deterministic embeddings
+- Hash-based (character codes + sine waves)
+- Normalized to unit length (cosine similarity)
+- Recomputed per dispatch (acceptable latency <10ms)
+
+## Validation
+
+**Phase 1 Tests:** 18 test cases (all passing ✅)
+- Record success/failure patterns
+- Confidence scoring (0.9 vs 0.5)
+- Graceful DB degradation
+- Category assignment
+- Unit type extraction
+
+**Phase 2 Tests:** 21 test cases (syntax correct, require Node 24.15)
+- Memory-enhanced ranking
+- Embedding computation
+- Score boosting formula
+- Multiple dispatch candidates
+- Fallback chains
+
+**Phase 3 Tests:** 17 test cases (all passing ✅)
+- Gate enrichment with memory context
+- Diagnostic-only (never changes gate decision)
+- Similar failure detection
+- Property preservation
+- Graceful degradation
+
+**Total:** 56 new tests validating integration
+
+## Alternatives Considered
+
+1. **Vector database (e.g., Pinecone)** — Rejected: adds external service, SF is client only
+2. **New memory kernel** — Rejected: SF has 10 complete memory modules already
+3. **Block on memory operations** — Rejected: fire-and-forget is safer for critical path
+4. **Complex ML model** — Rejected: simple confidence scoring sufficient for learning signal
+
+## Related Decisions
+
+- **ADR-0000:** Purpose-to-Software Compiler (SF is autonomous learner)
+- **ADR-0075:** UOK Gate Architecture (gates are pure functions, not learning)
+- **ADR-008:** SF Tools Over MCP (memory is internal, not exposed as service)
+
+## Future Work
+
+1. **Integrated dispatch rules** — Use `enhanceUnitRankingWithMemory()` in actual dispatch rules
+2. **Memory telemetry** — Track which patterns influence decisions
+3. **Pattern clustering** — Auto-group similar memories
+4. **Distributed learning** — Share patterns across SF instances
+5. **Performance tuning** — Cache embeddings if reused repeatedly
+
+## Documentation
+
+- `docs/dev/MEMORY-SYSTEM-ARCHITECTURE.md` — Full architecture reference
+- `docs/dev/MEMORY-SYSTEM-INTEGRATION-GUIDE.md` — Quick-start guide for developers
+- `src/resources/extensions/sf/uok/unit-runtime.js` — Phase 1 implementation
+- `src/resources/extensions/sf/auto-dispatch.js` — Phase 2 implementation
+- `src/resources/extensions/sf/uok/gate-runner.js` — Phase 3 implementation