hetaoBackend 0ea666e0cf feat: add global memory mechanism for personalized conversations ...

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>

2026-02-03 13:31:05 +08:00

..

__init__.py

feat: support function factory (#4)

2026-01-15 22:05:54 +08:00

agent.py

feat: add global memory mechanism for personalized conversations

2026-02-03 13:31:05 +08:00

prompt.py

feat: add global memory mechanism for personalized conversations

2026-02-03 13:31:05 +08:00