Source-verified in /workspaces/ruflo: the flywheel already refuses to promote a
candidate whose paired candidate-vs-baseline delta isn't significant —
`significant = bootstrapDeltaCILow(paired holdout deltas) > 0`, rule accept/v1+sig,
one-sided 95% paired bootstrap, n>=20 (evolve-proof.ts:174-183). That is STRONGER
than the unpaired ANOVA we were going to contribute (2-group ANOVA F = t², and it
drops the pairing). Our premise ("maybe ruflo promotes noise") was wrong.
Outcome: NO contribution PR (would be redundant and weaker). Corrects the strategy
report's open-Q #3 (ruflo's flywheel IS rigorously DoE-validated) and retires the
M3.1 action. The draft is kept, marked superseded, documenting the one genuinely-
additive idea (an ANOVA candidate-SELECTION veto) and why it's a bigger, replay-
verifier-touching change — deferred, not pursued.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
M3.1: a ready-to-post, collegial issue draft offering AQE's DoE/ANOVA screen
(ADR-122) to validate ruflo's ADR-176 flywheel promotions — the "2 compounding
promotions / flat human anchor" shape matches AQE's own "beads" null. HELD from
posting to ruvnet/ruflo pending the user (a ruflo collaborator).
M3.2: assessment — ruflo v3.25.2's torn-full-image-flush fix does not apply to
AQE (better-sqlite3 WAL = atomic commits, not sql.js full-image flushes); AQE's
actual corruption class (virtiofs WAL/shm) is already mitigated in safe-db.ts.
Transferable lesson filed: auto-restore-on-malformed-open (AQE restores manually
today) — a scoped follow-up, not built here (memory.db recovery is data-sensitive).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(A) npm "@ruvector Lattice WASM" = vaporware (E404; claude-flow's own source admits
the default package doesn't exist; inert opt-in slot) — the ruvllm mock-mode pattern.
(B) github.com/ohdearquant/lattice = a REAL pure-Rust inference engine (runs on
arm64 here, pushed 2026-07-18). But the shipped binary is chat-only — serve exposes
/v1/chat/completions,/v1/models,/health, NO /v1/embeddings (source
crates/inference/src/serve/mod.rs:248). Embeddings are a separate lattice-embed
crate, source-build-only, CLI not HTTP. Models incl. BGE-small 384 (default) …
Qwen3-Embedding 1024.
Verdict: GO-with-caveats, NOT a drop-in and not the cheapest path — the near-term
win (BGE-small @384, MTEB-stronger than MiniLM, same dim) is reachable via AQE's
existing transformers.js path (Xenova/bge-small-en-v1.5), no Rust/shim. Keep lattice
for a bigger move (Qwen3-1024, SIMD perf, Cognitum-side embedding serving).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds the single AQE-side verifier that reconciles AQE flywheel receipts with
Cognitum qe-harness witness bundles, so QE evidence signed by the shared platform
identity (fingerprint f1ac28607da49ec1) is verifiable on either side.
Investigation (read-only, cognitum-one/qe-harness) established the bridge is
HALF-wired already: both sides use Ed25519, the same QE_WITNESS_SIGNING_KEY (JSON
PEM), and the IDENTICAL fingerprint scheme sha256(pem.trim())[:16] — both sign as
f1ac28607da49ec1. What was NOT aligned: the signed artifacts (AQE = fixed-order
JSON body, hex; qe-harness = stableStringify sha256: digest, base64, nested
witness{}) are not natively cross-verifiable.
- src/learning/qe-flywheel/witness-verify.ts: allowlist-driven verifier for BOTH
formats + stableStringify/canonicalDigest (qe-harness parity), tamper-detecting,
fail-closed allowlist. node:crypto only; reuses receipt.ts for the AQE path.
- 15 tests: fingerprint parity (keyFingerprint === signer.keyId), both formats
round-trip, tamper → bad-signature/digest-mismatch, allowlist enforcement.
Two external dependencies remain (need the qe-harness owner — documented in the
GOAP plan, NOT done unilaterally): provision the f1ac28607da49ec1 PUBLIC key via
QE_WITNESS_PUBLIC_KEYS_JSON; confirm byte-parity vs a real qe-harness sample;
decide canonicalization convergence (AQE's hand-listed body silently drops new
fields — recommend adopting stableStringify).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
M1 resolved: api.cognitum.one's inference API and the ADR-308 funnel/proxy API
are NOT the same backend. /v1/proxy/*, /v1/credits, /v1/events, /v1/funnel-policy
all 404 ROUTE_NOT_FOUND on the inference host; the funnel layer is a separate
service (confirms ADR-308's addendum). /v1/qe/* namespace is free (404) — build
ADR-124 Phase 2 as a new route on the existing inference Express app. Hard cap
confirmed: hardCapUsd $20, headroom $19.34. Tiers route to a model marketplace
(cognitum-low -> z-ai/glm-5.2).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Six Thinking Hats strategy report and the precondition-ordered GOAP execution
plan for the AQE <-> ruflo <-> Cognitum integration work. Captures: what's new
in ruflo (Cognitum funnel ADR-301..319), AQE's current integration state, the
gap analysis / top-10 opportunities, the QE-Court addendum (= ADR-124 /
/v1/qe/verdict from the user-facing end), and the tiered plan with per-item
approval gates (incl. Codex-as-prosecutor and Codex-as-provider M3.5).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Full remediation of docs/analysis/SYSTEM-INTEGRITY-AUDIT-2026-07-04.md's
P0-P2 findings, tracked in docs/plans/SYSTEM-INTEGRITY-REMEDIATION-GOAP-PLAN-2026-07-04.md.
Highlights:
- Dream engine: real pattern creation on insight apply, error/outcome
concept nodes from real ADR-110 data, and a follow-up fix ensuring the
concept refresh actually runs on the real automatic path (not just via
test wrappers); persistTaskOutcome now genuinely promotes pending
insights instead of blindly incrementing an applied counter
- Witness chain: Ed25519 signing wired via persistent key directory,
archival/append-after-archival bug fixed, CI verification gate added
- Mincut: real event-bus wiring (was a no-op stub) and scaffold-vertex
detection fixes
- GOAP: real domain-API dispatch executor replacing the always-mock one
- SONA: EWC++ cold-start deadlock fixed via independent request-count
persistence
- ADR-110 pattern-nulls wired into the real production capture path
- Daemon/snapshot visibility, TTL unit bugs, and 8 ADRs re-statused with
additive verification notes
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
## Migration Features
- Add migrate CLI command with run/status/verify/rollback/mapping subcommands
- Implement agent name migration (Step 8) with v2_compat metadata
- Add v2 schema compatibility handling in UnifiedMemoryManager
- Create agent-compat.ts with complete v2→v3 agent mapping table
- Add lazy-loading for HNSW index to improve CLI startup performance
## Schema Migration
- Detect and upgrade incompatible v2 tables (goap_plans, concept_nodes, etc.)
- Drop and recreate tables with different column schemas
- Preserve v2 data in compatible tables (memory_entries, events, etc.)
## Bug Fixes
- Add process.exit(0) to init and migrate commands to prevent stuck processes
- Fix incorrect heuristic_fn column check that would drop valid tables
- Handle v2 databases with different GOAP/Dream/RL table schemas
## Agent Migration
- Migrate deprecated agent names to v3 equivalents
- Add v2_compat field to agent frontmatter for backwards compatibility
- Archive old agent files to deprecated/ directory
- Replace agent name references in body content
## Tests
- Add 7 integration tests for migrate file operations
- Add 33 unit tests for migrate command
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
## Major Features
### G4: Unified Memory Architecture - BinaryCache Integration
- Integrate BinaryMetadataCache with UnifiedMemoryCoordinator
- Add TRM pattern caching with 6x faster pattern loading
- New methods: cacheTRMPattern(), getCachedTRMPattern(), persistBinaryCache()
### G6: OpenRouter Provider with Model Hot-Swap
- Full ILLMProvider implementation for OpenRouter API (300+ models)
- Model hot-swapping at runtime without restart
- Smart environment detection for auto provider selection
### ruvLLM Integration (Issue #131)
- SONA Learning Strategy with MicroLoRA/BaseLoRA/EWC++
- TRM Learning Strategy for trajectory tracking
- ReasoningBank integration for pattern storage
- 104 new integration tests
Closes#131🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Dragan Spiridonov