a398010213
* feat(QuickPanel): 软隐藏与符号切换；性能优化与清理
- 交互改进
- 无匹配时“软隐藏”（不销毁、折叠且不拦截）
- 回删修正后有结果自动展开
- 输入新符号（/ 或 @）即切换到对应面板
- 性能优化
- 搜索 50ms 防抖，降低高频输入开销
- 按搜索词只构建一次模糊匹配正则
- 使用 WeakMap 缓存每项拼音，避免重复转换
- 折叠时不渲染列表、不注册全局键盘监听
- 代码清理
- 删除 noMatchTimeoutRef 及其清理 effect
- 删除未使用的 currentMessageId 引用
- 移除重复的 setText('') 清空逻辑
- 保持不变
- 多选/固定/清空等既有模型面板逻辑
- ESC、外部点击、删除符号的关闭语义
- 初始空查询直接展示可选项
* feat(quickpanel): 清除模型时同时删除@符号和搜索文本
- 在MentionModelsButton中记录触发信息
- 清除操作时根据触发类型删除@符号
- 仅处理输入触发的场景，按钮触发不需要处理
* refactor(quickpanel): 提取通用的删除@符号函数
- 创建 removeAtSymbolAndText 函数统一处理删除逻辑
- 支持两种模式：精确删除（ESC，使用searchText）和自动查找（清除）
- ESC和清除操作现在使用相同的核心逻辑
- 提高代码可维护性和一致性
* handleInput 中的 ctx.close('delete-symbol') 替换为本地 handleClose('delete-symbol')，确保 Backspace 删除触发符时同步受控输入值。
* - 统一 @ 清除逻辑：基于光标+搜索词的锚点定位
- 修复 ESC/清除误删邮箱/URL 中 @ 的问题
- 精确匹配优先：从光标左侧最近的 “@+searchText”
- 失败兜底：验证触发位 position，一致删整段，不一致仅删单个 @
- 清除按钮：未知搜索词时按光标左侧最近 @ 删至空格/换行
- 保持行为一致：ESC 与“清除模型”共用同一删除函数
* - 修复：无匹配时“清除”被过滤导致不可用的问题
- 方案：为“清除”项添加 alwaysVisible 标记，不参与过滤并始终置顶展示
- 过滤改造：QuickPanel 将列表拆分为固定项与普通项，仅对普通项执行包含/模糊/拼音过滤，最终合并渲染
- 折叠逻辑：collapsed 仅依据“非固定项”的匹配数；当仅剩“清除”时仍折叠隐藏，UI 不受影响
|
||
|---|---|---|
| .github | ||
| .husky | ||
| .vscode | ||
| .yarn | ||
| build | ||
| docs | ||
| packages | ||
| resources | ||
| scripts | ||
| src | ||
| tests | ||
| .editorconfig | ||
| .env.example | ||
| .git-blame-ignore-revs | ||
| .gitattributes | ||
| .gitignore | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc | ||
| .yarnrc.yml | ||
| CLAUDE.md | ||
| 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 | ||
| SECURITY.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 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:
- 📄 Supports 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 with smart content selection enhancement
- Deep Research with advanced research capabilities
- Memory System with global context awareness
- Document Preprocessing with improved document handling
- MCP Marketplace for 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 will be 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. Ensures knowledge retention and consistency, 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 and 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 | ⭕️ Partially released to customers |
| 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 feel free to 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 a unified API interface, suitable for key management and secondary distribution.
-
ublacklist: Blocks specific sites from appearing in Google search results
🚀 Contributors
📊 GitHub Stats
