- 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
- 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
- Enhanced tool call result parsing with improved scoring logic (0.0 or 1.0)
- Updated tool memory schema to reflect binary success/failure scoring
- Added deterministic behavior support via seed configuration in mock tools
- Improved evaluation prompts to focus on result quality over success flags
- Extended README with tool memory documentation and usage examples- Added utility functions for generating mock tool call results
- Removed deprecated test file for UseMockSearchOp- Updated default configurations to include use_mock_search operation- Bumped version to0.1.10 and updated flowllm dependency requirement
- Moved deprecation warnings to main init file
- Simplified tool memory summary formatting by removing redundant statistics
- Fixed tool call result processing to handle multiple tool names concurrently
- Added LLMMockSearchOp for simulating search operations with configurable complexity- Created SearchToolA, SearchToolB, and SearchToolC with distinct performance profiles- Implemented UseMockSearchOp for intelligent tool selection based on query analysis
- Added test scripts and query datasets for evaluating tool memory effectiveness
- Integrated tool memory service for storing and retrieving tool performance data
- Created documentation for tool memory benchmark testing methodology
- Refactored agent module structure and imports
- Increased summary tool memory recent call count from20 to 30
- Added SummaryToolMemoryOp for analyzing tool usage patterns- Implemented RetrieveToolMemoryOp for fetching tool memories
- Enhanced ParseToolCallResultOp with evaluation and scoring logic
- Updated ToolMemory schema with summary, evaluation, and score fields
- Added new prompt templates for tool evaluation and summarization
- Configured tool memory operations in default.yaml
- Fixed success flag logic in ToolCallResult processing
- Improved statistical analysis for tool call history
- Added concurrent processing for tool call evaluations
- Integrated tool memory updates with vector store operations
- Add new ToolCallResult and ToolMemory schemas for tracking tool executions
- Implement tool memory retrieval and summarization flows in default config
- Register new parse_tool_call_result_op for processing tool call results
- Extend memory conversion logic to support tool memory type
- Add test cases for tool memory serialization and deserialization
- Include token counting utilities for text processing tasks
- Remove the assertion for FLOW_APP_NAME environment variable
- This change simplifies the __init__.py file and removes a potential source of runtime errors due to missing environment variables
- Move the FLOW_APP_NAME environment variable check from app.py to __init__.py
- This change ensures that the environment variable is checked as soon as the package is imported
- Removed redundant import of os in app.py since it's no longer needed there
- Simplified table structure for better readability
- Adjusted column widths for a more balanced layout
- Moved GitHub link and environment variable information to the Note column
- Improved consistency in language and formatting across both service descriptions
- Adjust column widths for better readability
- Capitalize table header text
- Replace 'Desc' with 'Description' for clarity
- Make 'Note' column more concise and include GitHub link
- Update environment variable information formatting
- Adjust column widths for improved readability
- Wrap import statements and environment variables in <code> tags
- Update links to point to the correct GitHub repository
- Change 'str' to 'string' for consistency in data types
- Rename 'list' to 'array' for JSON compatibility
- Update 'bool' to 'boolean' and 'int' to 'integer' for standardization
- Upgrade flowllm dependency from >=0.1.6 to >=0.1.7
- Update service description for ReMe.PersonalMemoryService and ReMe.TaskMemoryService
- Add GitHub link for further information
- Clarify environment variables needed for configuration
- Create service_description.md file to document ReMe services
- Add descriptions for PersonalMemoryService and TaskMemoryService
- Include import statements and environment variable requirements- Highlight key features and use cases for each service
- Update message variable from 'messages' to 'new_messages' in memory services
- Bump package version from 0.1.6 to 0.1.7
- Update FlowLLM dependency version from >=0.1.5 to >=0.1.6
- Remove deprecated `add_dict_filter` method from vector store operations
- Update `async_search` method to use `filter_dict` parameter for advanced filtering
- Modify examples in documentation to use the new `filter_dict` format for advanced filtering
- Update task memory and messages for consistency with new filtering approach
- Add BaseMemoryService abstract class with common memory operations
- Implement PersonalMemoryService and TaskMemoryService concrete classes
- Update default config to use async services for memory operations
- Modify recall and retrieve ops to use context for top_k parameter
- Update vector store action op to handle list action and return result directly
- Update personal memory demo to use new memory format
- Remove unused task memory and message files
- Adjust vector store configuration in default.yaml
- Modify load_today_memory_op to use new search method
- Update load_today_memory_op.py to use async version of _retrieve_today_memories
- Update memory_deduplication_op.py to use async version of _deduplicate_task_memories and _get_existing_task_memory_embeddings
- Update retrieve_memory_op.py to use async_search instead of search
- Rename execute() to async_execute() in multiple vector store operation classes
- Update method calls to use async versions (e.g., async_search, async_delete)
- This change allows for asynchronous execution of vector store operations
- Modify LLM-related ops to use async_execute instead of execute
- Replace chat method with achat for asynchronous LLM calls
- Update method signatures and return types to support async operations
- This change affects multiple files across the project
- Update app.py to use async service initialization
- Refactor multiple ops to use async_execute instead of execute
- Add support for stream and use_async flags in config
- Update LLM usage to use achat instead of chat
- Add new LLM models and update existing ones in config
- Improve error handling and logging in several ops
- Update dependencies and Python version requirements
