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claude-flow

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Enterprise-grade AI agent orchestration with ruv-swarm integration (Alpha Release)

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# Cross-Session Memory ## Purpose Maintain context and learnings across Claude Code sessions for continuous improvement. ## Memory Features ### 1. Automatic State Persistence At session end, automatically saves: - Active agents and specializations - Task history and patterns - Performance metrics - Neural network weights - Knowledge base updates ### 2. Session Restoration ```bash # New session automatically loads previous state claude "Continue where we left off" # Or manually restore specific session npx ruv-swarm hook session-restore --session-id "sess-123" ``` ### 3. Memory Types **Project Memory:** - File relationships - Common edit patterns - Testing approaches - Build configurations **Agent Memory:** - Specialization levels - Task success rates - Optimization strategies - Error patterns **Performance Memory:** - Bottleneck history - Optimization results - Token usage patterns - Efficiency trends ### 4. Privacy & Control ```bash # View stored memory ls .ruv-swarm/ # Clear specific memory rm .ruv-swarm/session-*.json # Disable memory export RUV_SWARM_MEMORY_PERSIST=false ``` ## Benefits - 🧠 Contextual awareness - 📈 Cumulative learning - ⚡ Faster task completion - 🎯 Personalized optimization