Initial commit: Adaptive Recall sidecar for UMP (Phase 5)
Multi-channel retrieval sidecar over Universal Memory Protocol:
- 3-channel RRF (UMP FTS5 + Qdrant vector + knowledge graph)
- ACT-R re-ranking (Anderson 1983) with access tracking
- Co-occurrence graph edges (Phase 6) for dense traversal
- Memory lifecycle decay (Phase 4) with per-kind confidence
- MCP shim routes recall through sidecar, falls back to canonical UMP
Architecture:
- src/server.js HTTP sidecar on port 4380
- src/graph.js 2592-node / 111-edge graph from UMP (or +cooccur: 13k+)
- src/actr.js A_i = -d*ln(age) + beta*log1p(freq) + epsilon*conf
- src/access_log.js per-URN counter + last_accessed_at
- src/ump-recall-mcp.js MCP shim (recall via sidecar, others passthrough)
Eval results (851-record UMP corpus):
- 2ch RRF over baseline: +50pp recall@10
- 3ch RRF (+graph): +60pp, 12 unique wins
- ACT-R re-rank: 4/20 #1 changes, 84% top-5 retention
Tests: 76/76 passing across graph (27), actr (27), access_log (28),
decay (20), mcp-shim (sidecar + fallback). Run with: npm test
Inspired by AIAppsAPI/adaptive-recall but built from scratch against
existing DNS2 infrastructure (UMP at :4317, Qdrant at :6333,
Ollama at :11434). No paid SaaS, MIT-licensed.
Krystie
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