LiuVaayne
29af30b8d2
* feat(Memory): add memory management functionality with settings modal and integration into sidebar
* Add user memory search to chat completion flow
Enable assistants to use memory search results for more personalized
responses when enableMemory is true. Add enableMemory flag to Assistant
type.
* Add MemoryService and memory types interfaces
* Add memory settings tab to AssistantSettings
* feat(memory): implement Phase 1 core backend infrastructure
- Add Memory IPC channels for full CRUD operations
- Create main process MemoryService with LibSQL storage
- Implement memory database schema with history tracking
- Add IPC handlers for all memory operations
- Update preload API to expose memory functionality
- Update renderer MemoryService to use IPC instead of mock data
- Add comprehensive error handling and logging
- Support memory deduplication using SHA256 hashes
- Implement audit trail for all memory changes
Core features:
- Memory add/search/list/delete/update operations
- Full history tracking for changes
- User/agent/run filtering support
- Prepared for vector embeddings (Phase 2)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* ✨ feat: Implement memory vector search and hybrid search with LibSQL native vector support
- Implemented native vector support using `F32_BLOB` for storing embeddings directly in LibSQL.
- Created vector index using `libsql_vector_idx()` for efficient similarity search.
- Implemented `vectorSearch()` using `vector_top_k()` for fast nearest neighbor search based on cosine similarity.
- Implemented `hybridSearch()` combining text search and vector similarity search.
- Added `addBatchMemories()` to efficiently add multiple memories with embeddings.
- Added embedding model configuration via `setEmbeddingModel()`.
- Integrated embedding generation using `EmbeddingService`.
- Updated database schema with vector column and index.
- Added methods for embedding conversion and similarity calculations.
- Updated documentation with vector search details and schema changes.
- Improved memory management with embedding caching and clearing.
- Added `findSimilarMemories` to avoid duplicates
- Added embedding stats and cache methods
* feat(memory): add EmbeddingService and VectorSearch for memory embedding and search functionality
* fix(memory): update vector operations to match libsql documentation
- Fix vector32() function usage by removing quotes from embedding parameters
- Replace vector_top_k with standard queries to avoid index dependency
- Make embedding dimensions flexible by removing fixed 1536 dimension
- Add NULL checks for embeddings in all vector operations
- Update memory update method to regenerate embeddings
- Use parameterized queries to prevent SQL injection
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* update implement plan
* feat(memory): implement Phase 3 - UI and integration components
- Create Memory Page UI with full CRUD operations
- Add, delete, search, and filter memories
- User and date range filtering
- Bulk operations support
- Implement Memory Processing Pipeline
- Automatic fact extraction from conversations
- Intelligent memory updates (add/update/delete)
- Background processing for non-blocking UI
- Integrate memory search into ApiService
- Inject relevant memories into conversation context
- Post-conversation memory processing
- Assistant-specific memory isolation
- Add Assistant Memory Settings
- Toggle memory per assistant
- View memory statistics
- Configure from assistant settings panel
- Complete memory feature integration
- Redux store already implemented
- Memory service backend ready
- Full end-to-end functionality
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update memory feature implementation plan to reflect Phase 3 completion
- Mark Phase 3 (UI and Integration) as completed
- Update implementation progress to 90%
- Document all completed components and features
- Add usage instructions for the memory feature
- List key implementation files for reference
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Revert "feat(memory): implement Phase 3 - UI and integration components"
This reverts commit 422463d0f7.
* ✨ feat: Implement memory management for assistants
- Introduced `MemoryProcessor` to handle fact extraction, memory updates, and searches.
- Added `AssistantMemorySettings` component to allow enabling/disabling memory and viewing memory statistics.
- Integrated memory functionality with assistant settings.
- Implemented memory-related prompts and schema validation.
- Added memory service calls for adding, updating, deleting, and searching memories.
* fix: Update memory settings form handling in AssistantMemorySettings component
* feat(memory): implement Phase 3 - UI and integration components
- Create Memory Page UI with full CRUD operations
- Add, delete, search, and filter memories
- User and date range filtering
- Bulk operations support
- Implement Memory Processing Pipeline
- Automatic fact extraction from conversations
- Intelligent memory updates (add/update/delete)
- Background processing for non-blocking UI
- Integrate memory search into ApiService
- Inject relevant memories into conversation context
- Post-conversation memory processing
- Assistant-specific memory isolation
- Add Assistant Memory Settings
- Toggle memory per assistant
- View memory statistics
- Configure from assistant settings panel
- Complete memory feature integration
- Redux store already implemented
- Memory service backend ready
- Full end-to-end functionality
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: update memory search method and integrate form handling in AssistantMemorySettings
* feat(memory): enhance memory service with new IPC channels and configuration updates
* refactor: remove VectorSearch service and update memory configuration methods
- Deleted the VectorSearch service implementation from the memory services.
- Updated the memory configuration method in the preload index from `updateConfig` to `setConfig`.
- Adjusted the corresponding call in the MemoryService to reflect the new method name.
* refactor(memory): remove embedding cache and related methods from MemoryService
* feat(memory): update MemoryService initialization to handle configuration updates and errors
* feat(memory): centralize SQL queries for MemoryService to improve maintainability
* feat: Enhance memory management with user context and CRUD operations
- Updated memory feature analysis with current implementation status and new functionalities.
- Added user context management, allowing automatic filtering based on selected user.
- Implemented full CRUD operations for memories, including add, edit, and delete functionalities.
- Introduced user management system with validation rules for user IDs.
- Enhanced internationalization support for memory features across multiple languages.
- Improved UI components for memory management, including user switching and memory editing modals.
- Updated MemoryService and MemoryProcessor to handle user-specific memory operations.
- Added comprehensive testing and documentation for new features.
* feat(memory): enhance UI components and user interactions in MemoriesPage
* feat(memory): integrate user context into memory operations and enhance user management
* feat(memory): add user deletion and reset functionality for specific users
* feat(memory): enhance localization for user management and memory operations in multiple languages
* feat(memory): remove reset functionality and add user listing feature in memory service
* feat(memory): enhance memory processing by adding fallback models and improving configuration handling
* feat(memory): refactor fact extraction and memory update logic to use fetchGenerate for LLM calls
* feat(memory): iinject memory to chat
* feat(memory): enhance memory handling by ensuring fallback to empty array and improving logging in memory search
* feat(memory): implement pagination for memory list operations
- Add offset parameter to MemoryListOptions interface for pagination support
- Update MemoryService.list() method to properly handle offset parameter
- Implement client-side pagination with 50 items per page default
- Add pagination controls with page size options (20, 50, 100, 200)
- Include pagination state management (currentPage, pageSize)
- Load all memories at once and paginate on client side for better search performance
- Reset pagination when switching users or performing searches
- Update memory CRUD operations to maintain current pagination state
- Add styled pagination component with consistent design
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(memory): correct state variable name in user switch handler
* feat(memory): add comprehensive memory feature guide in Chinese
* feat: Enhance memory management and citation handling
- Updated BaseApiClient to retrieve memory references from cache and format them for use.
- Modified CitationBlock to include memory references in rendering logic.
- Enhanced CitationsList to display memory citations with appropriate formatting.
- Improved MemoriesPage layout and functionality, including debounced search and user management.
- Refactored MemoryProcessor to handle memory updates and search queries more effectively.
- Updated API service to include memory in external tool results.
- Adjusted memory-related types and schemas for better integration.
- Enhanced createCitationBlock utility to accommodate memory data.
* feat(memory): update memory localization keys and descriptions for improved clarity
* feat(memory): add descriptions to memory localization files and improve error handling in MemoryService
* ✨ style: Remove blank lines and fix typo in settings
- Removed blank lines in README files.
- Fixed a typo in the assistant settings label for the memory tab.
revert: revert format changes
revert: revert format changes
* feat(memory): enhance memory update logic and improve prompt clarity
* feat(memory): implement global memory toggle and enhance memory settings UI
* feat(memory): refine hybrid search to focus on vector similarity and update localization files
* feat(i18n): add memory configuration prompts in multiple languages
---------
Co-authored-by: Claude <noreply@anthropic.com>
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🍒 Cherry Studio
Cherry Studio is a desktop client that supports for multiple LLM providers, available on Windows, Mac and Linux.
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