- Added QdrantVectorStore backend with native async operations
- Implemented advanced filtering capabilities for metadata queries
- Added support for Qdrant Cloud and local deployments- Updated vector store comparison table with Qdrant features
- Enhanced documentation with Qdrant setup and usage examples
- Fixed code block formatting in vector store API guide
- Updated embedding model integration for Qdrant compatibility
- Updated __version__ in reme_ai/__init__.py
- Updated project version in pyproject.toml- Changed flowllm dependency to include reme extra
- Fixed typo in README.md query example
- Introduce tool memory as a new memory type in ReMe framework
- Update agent memory formula to include tool memory- Add comprehensive tool memory documentation with usage examples
- Include tool memory API usage guides for Python, curl, and Node.js
- Add tool memory benchmark results showing 14.88% improvement- Create new tool memory demo and benchmark resources
- Update documentation structure to reflect three memory capabilities- Add TODO list with planned features including automatic tool exploration- Fix mermaid diagram numbering in tool memory documentation
- Remove outdated latest updates section from main documentation
- Update resource links to include tool memory references
- Add is_summarized boolean field to ToolCallResult schema
- Implement logic to mark tool calls as summarized after processing
- Skip summarization for tools with all recent calls already summarized
- Update summary operation to process only tools with unsummarized calls
- Enhance logging to show summarization and skip statistics
- Modify response to include count of summarized vs skipped tools
- Add documentation for smart skip logic and is_summarized feature
- Include test scenarios for skip logic and incremental summarization
