72ae105166
* Merge memory into main * Improvement/memory UI (#7655) * feat: add auto-dimension detection to memory settings - Add automatic embedding dimension detection for memory configuration - Add toggle switch to enable/disable auto-detection (enabled by default) - Detect dimensions by making test API call to embedding provider - Show dimension input field only when auto-detection is disabled - Add loading state and error handling during dimension detection - Maintain consistency with knowledge base dimension handling 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * ✨ feat: implement unified embedding dimensions for memory service - Add jaison dependency for robust JSON parsing - Normalize all embeddings to 1536 dimensions for consistency - Improve embedding dimension logging - Update memory processor to use jaison for better error handling - Handle various JSON response formats in fact extraction 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: refactor MemoriesPage layout with new styled components and improved user management features --------- Co-authored-by: Claude <noreply@anthropic.com> * Improvement/memory UI (#7656) Co-authored-by: Claude <noreply@anthropic.com> * ✨ feat: add memory icon to sidebar for existing users - Add migration version 118 to enable memory feature visibility - Adds 'memory' icon to sidebar visible icons if not already present - Updates store version to trigger migration for existing users 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): include last user message ID in processor config * ✨ feat(memory): enhance memory settings UI and add new translations * Enhance memory management UI: Added settings, statistics, search, actions, and user management sections to the memory page. Updated translations for multiple languages to include new UI elements. Refactored component structure for improved layout and readability. * feat: add i18n * ui: Enhance memory modals and UI * refactor(memory): replace direct message calls with window.message for error and success notifications * fix: eslint error * feat(memory): enhance memory restoration logic and queries - Updated MemoryService to restore deleted memories instead of inserting new ones if a memory with the same hash exists. - Added new SQL queries to check for deleted memories and restore them. - Improved logging for memory restoration and embedding generation. - Refactored related API service methods to handle updated memory processing logic. * refactor: update memory configuration to use ApiClient structure - Refactored memory-related services and components to utilize the new ApiClient structure for embedding and reranking models. - Updated constructors and method signatures across multiple files to accept embedApiClient and rerankApiClient parameters. - Enhanced memory settings UI to reflect changes in memory configuration management. - Improved type definitions for KnowledgeBaseParams and MemoryConfig to align with the new structure. * ui: improve user interface for adding new users in memory page - Enhanced the button for adding new users by incorporating an icon and adjusting padding for better alignment. - Updated the user selection options to ensure consistent alignment of avatars and user names. - Refactored layout to improve overall user experience and visual consistency. * refactor(memory): streamline MemoryProcessor usage in ApiService - Removed the singleton instance of MemoryProcessor and instantiated it directly within the ApiService methods. - Updated relevant methods to utilize the new instance for searching and processing memories, improving clarity and encapsulation of memory handling logic. * chore: move knowledge dir * fix: correct import paths in KnowledgeService.ts * fix(Memory): memory deduplicate * fix(Memory): memory llm provider * fix: ci error * fix(Memory): update fact extraction prompt to focus on personal information * feat: Refactor memory fom sidebar to settings page - Removed MemoryStick icon from Sidebar component. - Updated navigation to point to the new memory settings page. - Introduced MemoriesSettingsModal for managing memory configurations. - Created MemorySettings component for comprehensive memory management. - Added user management features including adding, editing, and deleting users. - Implemented pagination and search functionality for memory items. - Updated sidebar settings to remove memory icon and ensure proper migration. - Adjusted Redux store settings to reflect changes in sidebar icons. * feat: redesign memory settings page with improved UI and layout * fix i18n * fix: update citation titles to include memory hash and increment version number * fix: remove unnecessary prop from KnowledgeCitation component * feat: enhance fact extraction prompt with clearer guidelines and examples * 🔧 feat: disable global memory by default and improve UI - Set globalMemoryEnabled default to false for better user experience - Remove manual localStorage handling to rely on redux-persist - Add Beta badge to memory settings section - Improve layout and styling of memory settings UI components 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * Simplify external tool completion handling * Fix whitespace in migrate config --------- Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: suyao <sy20010504@gmail.com> Co-authored-by: eeee0717 <chentao020717Work@outlook.com> Co-authored-by: kangfenmao <kangfenmao@qq.com> Co-authored-by: 自由的世界人 <3196812536@qq.com> |
||
|---|---|---|
| .github | ||
| .husky | ||
| .vscode | ||
| .yarn | ||
| build | ||
| docs | ||
| packages/shared | ||
| resources | ||
| scripts | ||
| src | ||
| tests | ||
| .editorconfig | ||
| .git-blame-ignore-revs | ||
| .gitattributes | ||
| .gitignore | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc | ||
| .yarnrc.yml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| dev-app-update.yml | ||
| electron-builder.yml | ||
| electron.vite.config.ts | ||
| eslint.config.mjs | ||
| LICENSE | ||
| package.json | ||
| playwright.config.ts | ||
| README.md | ||
| tsconfig.json | ||
| tsconfig.node.json | ||
| tsconfig.web.json | ||
| vitest.config.ts | ||
| yarn.lock | ||
English | 中文 | Official Site | Documents | Development | Feedback
🍒 Cherry Studio
Cherry Studio is a desktop client that supports for multiple LLM providers, available on Windows, Mac and Linux.
👏 Join Telegram Group｜Discord | QQ Group(575014769)
❤️ Like Cherry Studio? Give it a star 🌟 or Sponsor to support the development!
🌠 Screenshot
🌟 Key Features
- Diverse LLM Provider Support:
- ☁️ Major LLM Cloud Services: OpenAI, Gemini, Anthropic, and more
- 🔗 AI Web Service Integration: Claude, Peplexity, Poe, and others
- 💻 Local Model Support with Ollama, LM Studio
- AI Assistants & Conversations:
- 📚 300+ Pre-configured AI Assistants
- 🤖 Custom Assistant Creation
- 💬 Multi-model Simultaneous Conversations
- Document & Data Processing:
- 📄 Support for Text, Images, Office, PDF, and more
- ☁️ WebDAV File Management and Backup
- 📊 Mermaid Chart Visualization
- 💻 Code Syntax Highlighting
- Practical Tools Integration:
- 🔍 Global Search Functionality
- 📝 Topic Management System
- 🔤 AI-powered Translation
- 🎯 Drag-and-drop Sorting
- 🔌 Mini Program Support
- ⚙️ MCP(Model Context Protocol) Server
- Enhanced User Experience:
- 🖥️ Cross-platform Support for Windows, Mac, and Linux
- 📦 Ready to Use, No Environment Setup Required
- 🎨 Light/Dark Themes and Transparent Window
- 📝 Complete Markdown Rendering
- 🤲 Easy Content Sharing
📝 Roadmap
We're actively working on the following features and improvements:
- 🎯 Core Features
- Selection Assistant - Smart content selection enhancement
- Deep Research - Advanced research capabilities
- Memory System - Global context awareness
- Document Preprocessing - Improved document handling
- MCP Marketplace - Model Context Protocol ecosystem
- 🗂 Knowledge Management
- Notes and Collections
- Dynamic Canvas visualization
- OCR capabilities
- TTS (Text-to-Speech) support
- 📱 Platform Support
- HarmonyOS Edition (PC)
- Android App (Phase 1)
- iOS App (Phase 1)
- Multi-Window support
- Window Pinning functionality
- 🔌 Advanced Features
- Plugin System
- ASR (Automatic Speech Recognition)
- Assistant and Topic Interaction Refactoring
Track our progress and contribute on our project board.
Want to influence our roadmap? Join our GitHub Discussions to share your ideas and feedback!
🌈 Theme
- Theme Gallery: https://cherrycss.com
- Aero Theme: https://github.com/hakadao/CherryStudio-Aero
- PaperMaterial Theme: https://github.com/rainoffallingstar/CherryStudio-PaperMaterial
- Claude dynamic-style: https://github.com/bjl101501/CherryStudio-Claudestyle-dynamic
- Maple Neon Theme: https://github.com/BoningtonChen/CherryStudio_themes
Welcome PR for more themes
🤝 Contributing
We welcome contributions to Cherry Studio! Here are some ways you can contribute:
- Contribute Code: Develop new features or optimize existing code.
- Fix Bugs: Submit fixes for any bugs you find.
- Maintain Issues: Help manage GitHub issues.
- Product Design: Participate in design discussions.
- Write Documentation: Improve user manuals and guides.
- Community Engagement: Join discussions and help users.
- Promote Usage: Spread the word about Cherry Studio.
Refer to the Branching Strategy for contribution guidelines
Getting Started
- Fork the Repository: Fork and clone it to your local machine.
- Create a Branch: For your changes.
- Submit Changes: Commit and push your changes.
- Open a Pull Request: Describe your changes and reasons.
For more detailed guidelines, please refer to our Contributing Guide.
Thank you for your support and contributions!
🔧 Developer Co-creation Program
We are launching the Cherry Studio Developer Co-creation Program to foster a healthy and positive-feedback loop within the open-source ecosystem. We believe that great software is built collaboratively, and every merged pull request breathes new life into the project.
We sincerely invite you to join our ranks of contributors and shape the future of Cherry Studio with us.
Contributor Rewards Program
To give back to our core contributors and create a virtuous cycle, we have established the following long-term incentive plan.
The inaugural tracking period for this program will be Q3 2025 (July, August, September). Rewards for this cycle will be distributed on October 1st.
Within any tracking period (e.g., July 1st to September 30th for the first cycle), any developer who contributes more than 30 meaningful commits to any of Cherry Studio's open-source projects on GitHub is eligible for the following benefits:
- Cursor Subscription Sponsorship: Receive a $70 USD credit or reimbursement for your Cursor subscription, making AI your most efficient coding partner.
- Unlimited Model Access: Get unlimited API calls for the DeepSeek and Qwen models.
- Cutting-Edge Tech Access: Enjoy occasional perks, including API access to models like Claude, Gemini, and OpenAI, keeping you at the forefront of technology.
Growing Together & Future Plans
A vibrant community is the driving force behind any sustainable open-source project. As Cherry Studio grows, so will our rewards program. We are committed to continuously aligning our benefits with the best-in-class tools and resources in the industry. This ensures our core contributors receive meaningful support, creating a positive cycle where developers, the community, and the project grow together.
Moving forward, the project will also embrace an increasingly open stance to give back to the entire open-source community.
How to Get Started?
We look forward to your first Pull Request!
You can start by exploring our repositories, picking up a good first issue, or proposing your own enhancements. Every commit is a testament to the spirit of open source.
Thank you for your interest and contributions.
Let's build together.
🏢 Enterprise Edition
Building on the Community Edition, we are proud to introduce Cherry Studio Enterprise Edition—a privately deployable AI productivity and management platform designed for modern teams and enterprises.
The Enterprise Edition addresses core challenges in team collaboration by centralizing the management of AI resources, knowledge, and data. It empowers organizations to enhance efficiency, foster innovation, and ensure compliance, all while maintaining 100% control over their data in a secure environment.
Core Advantages
- Unified Model Management: Centrally integrate and manage various cloud-based LLMs (e.g., OpenAI, Anthropic, Google Gemini) and locally deployed private models. Employees can use them out-of-the-box without individual configuration.
- Enterprise-Grade Knowledge Base: Build, manage, and share team-wide knowledge bases. Ensure knowledge is retained and consistent, enabling team members to interact with AI based on unified and accurate information.
- Fine-Grained Access Control: Easily manage employee accounts and assign role-based permissions for different models, knowledge bases, and features through a unified admin backend.
- Fully Private Deployment: Deploy the entire backend service on your on-premises servers or private cloud, ensuring your data remains 100% private and under your control to meet the strictest security and compliance standards.
- Reliable Backend Services: Provides stable API services, enterprise-grade data backup and recovery mechanisms to ensure business continuity.
✨ Online Demo
🚧 Public Beta Notice
The Enterprise Edition is currently in its early public beta stage, and we are actively iterating and optimizing its features. We are aware that it may not be perfectly stable yet. If you encounter any issues or have valuable suggestions during your trial, we would be very grateful if you could contact us via email to provide feedback.
Version Comparison
| Feature | Community Edition | Enterprise Edition |
|---|---|---|
| Open Source | ✅ Yes | ⭕️ part. released to cust. |
| Cost | Free for Personal Use / Commercial License | Buyout / Subscription Fee |
| Admin Backend | — | ● Centralized Model Access ● Employee Management ● Shared Knowledge Base ● Access Control ● Data Backup |
| Server | — | ✅ Dedicated Private Deployment |
Get the Enterprise Edition
We believe the Enterprise Edition will become your team's AI productivity engine. If you are interested in Cherry Studio Enterprise Edition and would like to learn more, request a quote, or schedule a demo, please contact us.
- For Business Inquiries & Purchasing: 📧 bd@cherry-ai.com
🔗 Related Projects
-
one-api:LLM API management and distribution system, supporting mainstream models like OpenAI, Azure, and Anthropic. Features unified API interface, suitable for key management and secondary distribution.
-
ublacklist:Blocks specific sites from appearing in Google search results
🚀 Contributors
📊 GitHub Stats
