- Update PyPI version badge to v0.1 in both English and Chinese README files
- Add language toggle link at the beginning of both README files
- Update MemoryScope version reference from v0.1.x to v0.1 in both README files
- Change the baseUrl from `../library/` to `./library/` in the docs/index.html file
- This adjustment corrects the path to the library folder, ensuring proper file loading
- Remove unused import in reme_ai/summary/task/__init__.py
- Remove unused constant in reme_ai/constants/common_constants.py
- Update README.md with new content and structure
- Update README_ZH.md with minor corrections
- Modify task memory documentation for clarity
- Add curl and Node.js code examples for task memory management
- Add curl and Node.js code examples for personal memory management
- Improve documentation clarity by including detailed API usage samples
- 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
- Added detailed information about the project's architecture, installation, and usage
- Included sections on task memory and personal memory management
- Provided examples and use cases for the framework
- Updated project metadata and version information
- 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
- Deleted Configuration Guide, Future Roadmap, and Operations Documentation
- These files were likely outdated and no longer relevant
- Removing unused documentation improves maintainability and reduces confusion
- 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
- Introduce SOP Memory concept for combining atomic operations into complex workflows
- Provide detailed technical solution for implementing SOPs in LLM applications
- Include examples, best practices, and testing strategies for SOP development
- Highlight benefits of using SOP Memory for improving code reusability and standardization
- Capitalize 'Reme' in the documentation
- Remove unnecessary sections and simplify content
- Update file names to be more concise
- Remove redundant information and improve readability
- 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
- Added 'import json' at the beginning of trajectory_preprocess_op.py
- This import is necessary for handling JSON data in the trajectory preprocessing task
