Add accurate token counting using tiktoken library and significantly enhance
memory update prompts with detailed section guidelines, multilingual support,
and improved fact extraction. Update deep-research skill to be more proactive
for research queries.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Implement automatic cache invalidation based on file modification time to ensure memory data consistency across Gateway API and agent prompts. The cache now automatically reloads when the memory file is updated externally.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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>
