521c03adac
Implement a memory system that stores user context and conversation history in memory.json, uses LLM to summarize conversations, and injects relevant context into system prompts for personalized responses. Key components: - MemoryConfig for configuration management - MemoryUpdateQueue with debounce for batch processing - MemoryUpdater for LLM-based memory extraction - MemoryMiddleware to queue conversations after agent execution - Memory injection into lead agent system prompt Note: Add memory section to config.yaml to enable (see config.example.yaml) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| .. | ||
| __init__.py | ||
| app_config.py | ||
| extensions_config.py | ||
| memory_config.py | ||
| model_config.py | ||
| sandbox_config.py | ||
| skills_config.py | ||
| summarization_config.py | ||
| title_config.py | ||
| tool_config.py | ||