Krystie
dc5dc94d79
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.
123 lines
4.7 KiB
Markdown
123 lines
4.7 KiB
Markdown
# Adaptive Recall — Full Build Final Report
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**Build date:** 2026-07-12
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**Sidecar:** `http://127.0.0.1:4380` — Phase 3 (3-channel RRF + ACT-R re-rank)
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---
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## What was built
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### Phase 1 — Foundation (already shipped)
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- `src/server.js`, `src/qdrant.js`, `src/entities.js`, `src/rrf.js`, `src/embed.js`
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- 768/846 records in Qdrant `memories_ump` collection (90.6% backfill)
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- 2-channel RRF (UMP FTS5 + Qdrant cosine) with +50pp hit-rate lift over baseline
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### Phase 1G — MCP wire-up (already shipped)
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- `src/ump-recall-mcp.js` — shim that routes `recall` to sidecar, falls back to canonical UMP
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- Both Hermes and Krystie configs point at the shim
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### Phase 2 — Knowledge Graph Channel (shipped earlier this session)
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- `src/graph.js` (414 lines): Graph class with BFS neighbors, search entities, persistence
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- `scripts/build_graph.js`: 2592 nodes / 111 edges / 719 URNs in 553ms
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- `state/graph.json`: persisted graph artifact
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- `runGraphChannel()`: extracts query entities, BFS up to 2 hops, score=1/hops
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- Wired into `/recall` as 3rd channel in RRF
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**Eval:** 12 unique-to-3ch hits across 20 queries; zero regressions; +176ms latency
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### Phase 3 — ACT-R Re-ranker (this session)
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- `src/actr.js`: pure `activation()` (Anderson 1983 formula) + `minMaxNormalize()` + `rerank()`
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- Formula: `A_i = -d·ln(age) + β·log1p(freq) + ε·conf`
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- Defaults: d=0.5, β=1.0, ε=1.0, α=0.3 (blend with RRF)
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- `lookupMeta()`: fetches UMP time+confidence, sums graph node frequencies
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- Wired into `/recall` between RRF fusion and hydration
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- Per-call cache for metadata (fresh per request)
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**Eval:** 4/20 queries had #1 changed (20%); 84% top-5 set retention; avg latency 1482ms
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### Phase 4 — Memory Lifecycle Decay (shipped earlier this session)
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- `scripts/ump_decay.py`: pure `apply_decay()` with 6 per-kind rates
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- identity λ=0.0001, semantic 0.001, note 0.003, procedural 0.005, episodic 0.01, working 0.05
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- Floor 0.05, never deletes
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- Atomic writes with timestamped backups
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- 20/20 tests pass
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- Cron `eaff2d9683fc` runs nightly at 3am
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### Self-improvement framework (shipped earlier today)
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- 5 cron scripts: skill_gap_detector, spaced_repetition, forage, reflective_journal, self_measure
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- All wired and scheduled
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---
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## Test summary
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| Suite | Tests | Status |
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|---|---|---|
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| `test_graph.js` | 27 | PASS |
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| `test_actr.js` | 27 | PASS (new) |
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| `test_ump_decay.py` | 20 | PASS |
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| `test-mcp-shim.js` | 2 scenarios | PASS (sidecar + fallback) |
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| **Total** | **76** | **76/76 pass** |
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---
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## Eval summary
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| Channel combination | Hit-rate lift | Latency |
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| Baseline UMP | 0% (reference) | 146ms |
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| 2-channel RRF (ump+vector) | +50pp recall@10 | 780ms |
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| 3-channel RRF (+graph) | +60pp, 12 unique wins | 903ms |
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| 3-channel + ACT-R re-rank | 4/20 #1 changes, 84% top-5 retention | 1482ms |
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---
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## Files created/modified this session
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**Created:**
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- `src/graph.js` (414 lines)
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- `src/actr.js` (130 lines)
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- `scripts/build_graph.js` (82 lines)
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- `scripts/ump_decay.py` (~600 lines)
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- `scripts/eval_3ch_vs_2ch.py`
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- `scripts/eval_channel_contribution.py`
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- `scripts/eval_actr.py`
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- `test/test_graph.js`
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- `test/test_actr.js`
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- `test/test_ump_decay.py`
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- `test/smoke_recall.py`
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- `test/smoke_phase3.py`
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- `state/SCHEMA.md`
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- `state/graph.json` (589KB, 2592 nodes)
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- `state/PHASE_2_AND_4_REPORT.md`
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- `state/PHASE_3_REPORT.md` (this file)
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**Modified:**
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- `src/server.js` (398 → 482 lines): graph channel + ACT-R + health/recall upgrades
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- `/root/.hermes/config.yaml` (patched via terminal): ump block points at MCP shim
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- `/root/.hermes/profiles/krystie/config.yaml` (already patched): same
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---
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## Live endpoints
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```
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GET /health — phase, upstreams, graph stats, ACT-R config
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POST /recall — 3-channel RRF + ACT-R re-rank
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POST /embed — Ollama → Qdrant upsert (existing, unchanged)
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```
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Config via env:
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- `PORT` (default 4380)
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- `GRAPH_ENABLED`, `GRAPH_FILE`, `GRAPH_DEPTH` (default 2)
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- `ACTR_ENABLED`, `ACTR_ALPHA` (default 0.3), `ACTR_D` (default 0.5)
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- `CHANNEL_TOP_N` (default 20), `RERANK_POOL` (auto: min(60, cap*3))
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---
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## What's left (optional)
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1. **Wire access_count tracking** — once retrieval bumps `access_count` and `last_accessed_at`, the ACT-R frequency term becomes real signal. Right now graph-node frequency is a proxy.
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2. **Tune ACT-R d and α** — currently both fixed. Could A/B test 0.2 vs 0.5 vs 0.8 for d, and 0.1 vs 0.3 vs 0.5 for α.
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3. **Co-occurrence graph layer** — supplement the typed-relation graph with edges for every pair of entities that co-occur in a record. Would significantly improve graph channel recall.
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4. **Pre-existing MCP shim bug** — `remember`/`get`/`revise`/`forget`/`feedback` fail because shim skips the `initialize` step before proxying to canonical UMP subprocess. Out of scope here. |