* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [changes]Modify the code based on the AI review
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [feature]Implicit memory cache
* [changes]Modify the code based on the AI review
* [changes]Modify the generated emotion cache to be "end_user_id"
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the code based on the AI review
* [feature]Emotional memory cache
* [changes]Modify the code based on the AI review
* [changes]Modify the generated emotion cache to be "end_user_id"
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [changes]Modify the code based on the AI review
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [feature]Implicit memory cache
* [changes]Modify the code based on the AI review
* [fix]Correct the display sequence of memory increments
* [fix]Correct the display sequence of memory increments
* [changes]Modify the code based on the AI review
* [feature]Generate emotions, implicit cache
* [feature]Generate emotions, implicit cache
* [changes]Improve the code based on AI review
* [changes]Improve the code based on AI review
* [changes]Improve the code
* [feature]Generate emotions, implicit cache
* [changes]Improve the code based on AI review
* [changes]Improve the code
* [refactor]Reconstructing forgotten, emotional, situational, and explicit memory statistics
* [refactor]Reconstructing forgotten, emotional, situational, and explicit memory statistics
* [changes]Improve the code based on AI review
* [refactor]Reconstruct episodic memory
* [refactor]Reconstructing explicit memory
* [refactor]Reconstruct episodic memory
* [refactor]Reconstructing explicit memory
* [changes]Based on the improvement of AI review
* [changes]Modify the routing
* [changes]Uniform routing format
* [fix]Fix the failure in parsing the timestamp.
* [refactor]Reconstruct episodic memory
* [refactor]Reconstructing explicit memory
* [changes]Based on the improvement of AI review
* [changes]Modify the routing
* [changes]Uniform routing format
* [fix]Fix the failure in parsing the timestamp.
* [deleted]Delete migration files
* [refactor]Reconstruct episodic memory
* [refactor]Reconstructing explicit memory
* [changes]Based on the improvement of AI review
* [changes]Modify the routing
* [changes]Uniform routing format
* [fix]Fix the failure in parsing the timestamp.
* [deleted]Delete migration files
* feat: add database migration 9ab9b6393f32_20261511
* [add]Newly added: Memory configuration for returning results
* [add]Newly added: Memory configuration for returning results
* [changes]Based on the improvement of AI review
1. Add a version introduction to the homepage;
2. Query the app list. When the 'ids' parameter is provided, retrieve the specified applications by splitting them with commas, without pagination
* feat(memory): add conversation title to conversation list response for frontend display
* feat(memory): optimize conversation retrieval, enable working memory to return conversation question summaries
* fix(memory): fix conversation re-generation logic
* style(desc): improve description of get_conversation function
* refactor(conversation): separate service and repository layers for conversation module
- Split ConversationService and repository/UnitOfWork layers
- Service layer now only handles business logic and orchestration
- Repository layer handles all direct database operations
- UnitOfWork encapsulates transactional operations for messages
- Ensured all public methods have clear English docstrings with arguments, return values, and exceptions
* feat(memory): implement work memory endpoints and services
- Added API routes for conversation count, conversation list, messages, and detail.
- Integrated ConversationService for database queries and LLM-based summary generation.
* feat(memory): implement work memory endpoints and services
- Added API routes for conversation count, conversation list, messages, and detail.
- Integrated ConversationService for database queries and LLM-based summary generation.
* feat(workflow): fix issues causing workflow failures
if-else None value error
knowledge empty list rerank
end node output none node value
assigner input none value
* feat(memory): convert memory file creation time to timestamp and include title and first-line fields in file type
* fix(memory): fix serialization output and default value issues
* fix(workflow): fix issue with hybrid search logic in knowledge retrieval node
* [changes]Request to remove 'config_id' has been received.
* [add]Add the access history record table
* [changes]Request to remove 'config_id' has been received.
* [add]Add the access history record table
* [add]Obtain the record of the forgetting trend
* [changes]Based on the AI's suggestion, make the necessary modifications.
* perf(workflow): pass JSON data to HTTP node as a string
* perf(prompt_opt): simplify log output
* feat(memory): add perceptual memory page API and related database schema
* perf(log): clean up API exception log output
* perf(memory): simplify perceptual memory timeline response by removing metadata
* [fix]fix memory insights
* [fix]fix memory insights
* [fix]Based on the correction of the code by sourcery-ai
* [fix]Restore user information archive and one-sentence summary
