Key changes: - Plan B Phase 3: replace on-demand-only framing with queue-and-defer pattern (SessionEnd writes candidate queue fast in Python; next SessionStart processes it with already-running LLM — no API call, no terminal block, one-session lag is acceptable) - Plan B Phase 3: cut Part B (discrepancy detection) until vault has 25+ active howto notes - Plan B Phase 2: fix injection hook name (session_context.py, not session_start.py — the latter has no output channel) - Plan B Phase 1: add generated_at timestamp to vault-index.json structure so /memory-find can surface staleness - Plan B: add silent hook failure risk row to Risks table - Plan B: update Open Questions to reflect queue-and-defer decisions - Plan A Layer 1: clarify opt-out framing for inline classification - Plan A Layer 2: add cross-ref to Plan B Phase 3 invocation decision - CLAUDE.md: clarify Graphify vault graph vs vault-index.json roles Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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| .. | ||
| graphify | ||
| memory-system | ||
| superpowers/specs | ||
| USER-GUIDE.md | ||