05b8afd681
* feat(文件处理): 添加文件编码支持以正确处理不同编码的文本文件 添加文件编码检测和指定编码读取功能 - 在FileMetadata接口中添加encoding字段 - 添加iconv-lite和jschardet依赖用于编码处理和检测 - 文件上传时自动检测文本文件编码 - 文件读取时支持指定编码参数 - 更新所有API客户端以传递文件编码参数 * feat(文件处理): 添加文件编码检测和UTF-8读取功能 新增文件编码检测工具函数和UTF-8读取功能，统一处理不同编码的文件读取 移除重复的编码检测逻辑，优化代码结构 * refactor(FileStorage): 使用 readFileUTF8 替换 decodeBuffer 读取文件 移除冗余的 decodeBuffer 逻辑，直接使用封装好的 readFileUTF8 方法读取文件内容 * docs(utils): 为文件编码相关函数添加注释说明 添加对 detectEncoding、decodeBuffer 和 readFileUTF8 函数的详细注释，说明其功能和使用方法 * fix(utils): 为detectEncoding函数添加返回类型声明 * refactor(文件处理): 移除冗余的decodeBuffer函数并直接使用iconv.decode 简化文件读取逻辑，直接调用iconv.decode而不是通过中间函数decodeBuffer * test(file): 添加文件编码检测的测试用例 * test(文件编码检测): 移除ISO-8859-1编码的测试匹配 * refactor(file): 移除文件编码相关逻辑，统一使用UTF-8读取文本文件 移除FileMetadata接口中的encoding字段及相关检测逻辑 将所有文件读取操作统一改为使用readTextFileUTF8方法 * fix(文件读取): 改进文本文件解码逻辑以处理编码识别错误 当自动识别的编码包含错误字符时，尝试其他可能的编码 * refactor(utils): 将 console 日志替换为 electron-log 记录器 * refactor(文件存储): 移除文件读取时的可选编码参数 简化文件读取逻辑，始终使用UTF-8编码读取文本文件 * fix(utils): 修复文件编码检测中的文件描述符泄漏 在detectEncoding函数中，文件描述符在使用后未关闭，可能导致资源泄漏 * refactor(文件处理): 将readTextFileUTF8重命名为readTextFileWithAutoEncoding并改进编码检测 修复文件编码检测中未正确关闭文件描述符的问题 改进文本文件读取功能以支持自动编码检测 * test(file): 重构编码检测测试用例并改进测试结构 - 将 describe 块重命名为更明确的 detectEncoding - 提取公共的 mock 逻辑到 beforeEach - 更新测试描述为英文并保持一致性 - 简化测试实现，移除重复代码 * test(file): 添加对readTextFileWithAutoEncoding的测试用例 |
||
|---|---|---|
| .github | ||
| .husky | ||
| .vscode | ||
| .yarn | ||
| build | ||
| docs | ||
| packages/shared | ||
| resources | ||
| scripts | ||
| src | ||
| tests | ||
| .editorconfig | ||
| .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
