Commit graph

11 commits

Author SHA1 Message Date
jinli.yl
73668f051e feat(core): add pre-commit hooks and improve module documentation 2025-11-07 14:14:11 +08:00
jinliyl
560e746cea
reformat code, support flowllm 0.1.9 (#26)
* reformat code, support flowllm 0.1.9

* Update README.md

add FLOW_USE_FRAMEWORK=true

* Update README_ZH.md

add FLOW_USE_FRAMEWORK=true

* Update index.md

add FLOW_USE_FRAMEWORK=true

* add env FLOW_APP_NAME=ReMe
2025-09-16 16:49:56 +08:00
jinli.yl
a9f061b92d refactor(vector_store): update search functionality and documentation
- 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
2025-09-07 15:58:31 +08:00
jinli.yl
948cddf423 feat(service): implement base memory service and personal/task memory services
- 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
2025-09-07 14:15:36 +08:00
jinli.yl
bf3fa875aa refactor(vector_store): update memory operations to use async search
- 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
2025-09-06 21:42:55 +08:00
jinli.yl
6bb3ab90fc refactor(llm): update LLM-related ops to use async execution
- 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
2025-09-06 20:27:25 +08:00
jinli.yl
49c73b15b3 refactor(reme_ai): update app and ops for async execution and new LLM features
- 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
2025-09-06 20:17:33 +08:00
jinli.yl
074634d884 refactor(reme_ai): consolidate personal memory and update related ops
- Rename and restructure personal memory consolidation flow
- Update memory handling in context and operations
- Refactor memory schema to use time_created and time_modified fields
- Improve error handling and logging in memory operations
- Update test cases for new memory consolidation flow
2025-08-28 14:31:03 +08:00
jinli.yl
527e04140c refactor(personal): standardize memory operations and improve time handling
- Rename and restructure memory loading operations
- Enhance time extraction and formatting capabilities- Implement more robust memory filtering and ranking logic
- Refactor observation extraction methods for better reusability
- Improve logging and error handling in memory operations
2025-08-28 01:24:34 +08:00
jinli.yl
8600015632 refactor(reme_ai): rename and restructure modules for better organization
- Rename `worker` to `op` for operation classes
- Remove `memoryscope` package
- Create `constants` package with common constants
- Update module imports and class names accordingly
2025-08-27 17:05:40 +08:00
jinli.yl
cceebc631e refactor: rename package and restructure modules
- Rename experiencemaker package to reme_ai
- Move personal modules to new directory structure
- Remove unused classes and imports
- Update module initialization files
2025-08-25 23:59:08 +08:00