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Phase 3 features: - autoReflect: auto-trigger on complex conversations (toolCount>=3 or duration>=60s) - Extracts patterns from successful conversations - Extracts lessons from failed conversations - Auto-solidifies cerebellum plans from 5+ tool-call successes - Writes reflection logs to memory/reflections/ - Updates memory.md 'verified patterns' and 'lessons learned' sections - consolidateMemory: merge short-term sessions older than 7 days into long-term/ - Extracts frequent keywords across merged sessions - Writes consolidated summary to long-term/consolidate-{date}.md - Updates long-term/patterns.md with high-frequency patterns - generateDailyReport: aggregate today's sessions and reflections into daily/{date}.md - API endpoints: POST /:agentId/memory/consolidate, POST /:agentId/memory/daily-report Test results: 16/16 passed (Phase 3 test suite) -
- Hippocampus keyword matching engine (extractKeywords + score) - Cerebellum plan storage (saveCerebellumPlan) - Auto-sync hippocampus-index.json + hippocampus.md - POST /:agentId/memory/cerebellum API endpoint - buildSystemPrompt injects matched plans from hippocampus - Use count & lastUsed tracking on plan access - Chinese n-gram + English word tokenizer with stop words - Fix: score formula uses entry keyword count as denominator - Fix: useCount updates original index entry not spread copy - Verified: OKR plan matched + injected into CEO prompt
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- New: server/services/memory-service.js - saveSessionSummary(): auto-save session summary to short-term/ - loadRecentMemory(): inject last 5 sessions into system prompt - appendToMemoryMd(): auto-append key facts with size control - Modified: server/routes/agent-chat.js - buildSystemPrompt() now loads recent short-term sessions - Conversation completion triggers auto memory save - Verified: CEO Agent conversation creates session file + updates memory.md
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- Fix loadIdentity regex to handle **bold** markdown formatting - Add fallback to config.json name when identity.md has no 名称 field - Add 名称 field to Digester/Evolver/Innovator identity.md
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- Implement OKR GoalsService with hierarchical node tracking - Add /api/goals routes and integrate with dispatch/report APIs - Create Innovator agent with Hunt→Digest→Evolving pipeline - Create Hunter (l3-hunt), Digester (l2-digest), Evolver (evolving) meta agents - Copy L1/L2 dependency skills into each agent's .claude/skills/ - Fix buildSystemPrompt to scan ALL skill subdirectories (critical) - Fix agent list sorting: master pinned top, rest by lastActiveAt - Rename master-001→master, innovator-001→innovator - Establish meta agent output convention: write to target agent dir - Add CXO agent base class for management agents - Update CEO agent with delegation-first management model
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- Agent as Micro-Container: each agent lives in data/agents/{id}/ with full encapsulation - Persona vs Capability split: agent.md (identity) + .claude/skills/main_skill/SKILL.md (workflow) - Conversations co-located: data/agents/{id}/conversations/ replaces global dir - Meta Skills renamed: meta_hunt, meta_digest, meta_creator, meta_evolving, meta_benchmark, meta_research - Dynamic Hot-Reload: AgentManager.getAgentConfig() falls back to filesystem scan - Parallel Sub-Agent orchestration via Promise.all with multi-terminal UI - Removed SQLite dependency, global skills/ directory, and legacy conversations/ - Full architecture docs: 18-local-filesystem-first-agent-encapsulation.md