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## Memory System Enhancements - **Individual agent memory integration**: Every agent response now triggers automatic memory pattern extraction through on_agent_response() hooks - **Enhanced conversation logging**: Added detailed message breakdown showing USER/ASSISTANT/TOOL message counts and tool names called - **Fixed infrastructure extraction**: Resolved hardcoded agent name issues by using SREConstants for agent identification - **Comprehensive memory persistence**: All agent responses and tool executions stored as conversation memory with proper session tracking ## Tool Architecture Clarification - **Centralized memory access**: Confirmed only supervisor agent has direct access to memory tools (retrieve_memory, save_*) - **Individual agent focus**: Individual agents have NO memory tools, only domain-specific tools (5 tools each for metrics, logs, k8s, runbooks) - **Automatic pattern recognition**: Memory capture happens automatically through hooks, not manual tool calls by individual agents ## Documentation Updates - **Updated memory-system.md**: Comprehensive design documentation reflecting current implementation - **Added example analyses**: Created flight-booking-analysis.md and api-response-time-analysis.md in docs/examples/ - **Enhanced README.md**: Added memory system overview and personalized investigation examples - **Updated .gitignore**: Now ignores entire reports/ folder instead of just .md files ## Implementation Improvements - **Event ID tracking**: All memory operations generate and log event IDs for verification - **Pattern extraction confirmation**: Logs confirm pattern extraction working for all agent types - **Memory save verification**: Comprehensive logging shows successful saves across all memory types - **Script enhancements**: manage_memories.py now handles duplicate removal and improved user management