- 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
- 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
- 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
- Update memory entries with more specific and detailed content
- Improve structure and clarity of analysis, especially for complex subjects
- Refine synthesis process to create more coherent and insightful summaries
- Adjust scores and confidence levels based on improved analysis quality
- Update tags to better reflect the nature of analysis and synthesis tasks
- 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 README content to reflect new project name and version
- Rename README_ZH.md to README.md
- Add contribution guide and update documentation links
- Correct author information and update project description
- Update AppWorld quickstart guide to use ReMe instead of ExperienceMaker
- Update FrozenLake quickstart guide to use ReMe and improve clarity
- Refactor FrozenLake experiment implementation and documentation
- Add more detailed explanation of task memory mechanism in FrozenLake
- Rename and rebrand experience-related variables and functions to task memory
- Update Appworld and FrozenLake agents to use task memory instead of experience
- Add new functions for handling API responses, deleting workspaces, and dumping/loading memories
- Modify run scripts to incorporate task memory creation and usage
- Update logging and print statements to reflect new task memory terminology
- Move retrieve_personal_memory and summary_personal_memory flows to new positions in default.yaml
- Update info_filter_op to handle trajectories instead of messages
- Adjust use_personal_memory_demo to use trajectories in API requests
- Add SimpleReactOp to react module
- Update reme_ai/__init__.py to include react module
- Modify contra_repeat_op.py to use memory_id instead of id
- Adjust datetime_handler.py to handle string datetime conversion
- Update default.yaml to include react flow content
- Modify get_observation_op.py and get_observation_with_time_op.py to use workspace_id from context
- Update test/http_client_test.py to test new react functionality
- Adjust messages.jsonl to reflect new analysis approach for Xiaomi Corporation
- Add SimpleReactOp to react module
- Update reme_ai/__init__.py to include react module
- Modify contra_repeat_op.py to use memory_id instead of id
- Adjust datetime_handler.py to handle string datetime conversion
- Update default.yaml to include react flow content
- Modify get_observation_op.py and get_observation_with_time_op.py to use workspace_id from context
- Update test/http_client_test.py to test new react functionality
- Adjust messages.jsonl to reflect new analysis approach for Xiaomi Corporation
- Add SimpleReactOp to react module
- Update reme_ai/__init__.py to include react module
- Modify contra_repeat_op.py to use memory_id instead of id
- Adjust datetime_handler.py to handle string datetime conversion
- Update default.yaml to include react flow content
- Modify get_observation_op.py and get_observation_with_time_op.py to use workspace_id from context
- Update test/http_client_test.py to test new react functionality
- Adjust messages.jsonl to reflect new analysis approach for Xiaomi Corporation
- Rename experiencemaker package to reme_ai
- Move personal modules to new directory structure
- Remove unused classes and imports
- Update module initialization files
