🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.
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feat(translate): support background execution of translation tasks (#7892)
* feat(translate): 支持后台执行翻译任务

- 新增translate store模块管理翻译状态
- 实现useTranslate hook封装翻译逻辑
- 重构TranslatePage组件使用新的翻译逻辑

* feat(翻译): 添加翻译成功提醒并跟踪当前路由

在翻译完成后添加成功提示,但仅在非翻译页面显示
添加activeRoute状态以跟踪当前路由路径

* refactor(useTranslate): 移除调试用的console.log语句

* fix: update dependencies in effect hooks for improved reactivity

* Revert "fix: update dependencies in effect hooks for improved reactivity"

This reverts commit bb6734c628.

* feat(i18n): 为翻译状态添加"完成"的本地化文本

* refactor(store): 将translating状态从translate迁移到runtime模块

简化translate模块状态管理,将translating状态移至更合适的runtime模块

* feat(i18n): 添加未知语言支持

为语言类型和翻译配置添加未知语言选项,当检测到未知语言代码时返回默认未知语言配置

* reafactor(translate): 添加翻译历史记录管理功能并优化翻译流程

- 在useTranslate钩子中新增deleteHistory和clearHistory方法
- 将翻译历史管理逻辑从页面组件移至useTranslate钩子
- 优化翻译流程,自动获取默认翻译助手
- 调整语言参数类型为Language接口

* refactor(translate): 移除翻译完成时的路由检查逻辑

删除不再使用的activeRoute状态及相关代码,简化翻译完成时的通知逻辑

* feat(翻译): 增强翻译钩子函数的错误处理和日志记录

添加完整的异常处理逻辑和日志记录服务到翻译钩子函数
为翻译操作和保存历史记录添加详细的错误处理
增加JSDoc注释以提升代码可读性和维护性

* feat(i18n): 添加翻译历史保存失败的错误提示

* feat(i18n): 添加翻译未知错误的提示信息

为翻译功能添加未知错误的提示信息,并在捕获异常时显示该提示

* fix(translate): 添加翻译模型检查并处理错误情况

当翻译模型未配置时,添加错误日志记录并抛出异常。在useTranslate中捕获异常并显示错误信息给用户。

* perf(useTranslate): 使用 throttle 优化翻译响应性能

避免频繁触发翻译内容更新,通过 lodash 的 throttle 函数限制更新频率为 100ms

* fix: 修复不支持温度和top_p参数的模型判断逻辑

添加对QwenMT模型的判断,确保其被正确识别为不支持温度和top_p参数

---------

Co-authored-by: 自由的世界人 <3196812536@qq.com>
2025-07-29 09:29:49 +08:00
.github fix: set consolelog eslint to error when in prci lint check (#8532) 2025-07-26 09:21:18 +08:00
.husky chore(pre-commit): add pre-commit hook to enforce code style (#3351) 2025-03-15 11:09:11 +08:00
.vscode fix(i18n): standardize i18n usage (#8525) 2025-07-25 22:03:31 +08:00
.yarn chore(deps): update vite to rolldown-vite (#8460) 2025-07-25 00:55:07 +08:00
build feat(installer): add architecture compatibility check to NSIS installer (#8587) 2025-07-28 21:41:05 +08:00
docs perf(i18n): improve performance when getting i18n text (#8548) 2025-07-27 17:30:52 +08:00
packages fix(LocalBackup): streamline local backup relative directory handling (#8595) 2025-07-28 21:57:04 +08:00
resources fix(install): update return codes for bun and uv installation scripts (#8039) 2025-07-12 22:22:07 +08:00
scripts chore(i18n): forced nested structure to support i18n ally (#8457) 2025-07-25 17:36:04 +08:00
src feat(translate): support background execution of translation tasks (#7892) 2025-07-29 09:29:49 +08:00
tests refactor: Unified Logger / 统一日志管理 (#8207) 2025-07-18 09:40:56 +08:00
.editorconfig style: set eol to lf, code formatting (#7923) 2025-07-08 09:50:33 +08:00
.env.example chore(env): add .env.example file and update .gitignore 2025-07-24 15:02:03 +08:00
.git-blame-ignore-revs chore: git blame ignore (#7925) 2025-07-08 14:23:55 +08:00
.gitattributes style: set eol to lf, code formatting (#7923) 2025-07-08 09:50:33 +08:00
.gitignore chore: ignore qwen-code settings (#8509) 2025-07-25 12:20:20 +08:00
.npmrc opt: optimise local dev with fixed yarn (#3456) 2025-03-19 13:18:11 +08:00
.prettierignore feat: nutstore integration (#3461) 2025-03-25 11:40:11 +08:00
.prettierrc chore(i18n): Separate check-i18n and sync-i18n; add auto sort i18n (#8206) 2025-07-19 23:26:40 +08:00
.yarnrc.yml chore: upgrade yarn version to v4.9.1 2025-05-22 15:48:20 +08:00
CODE_OF_CONDUCT.md docs: update documentation for a more inclusive environment and added japanese and chinese documentation 2024-10-25 00:09:01 +08:00
CONTRIBUTING.md docs: add testplan md (#7854) 2025-07-05 17:19:25 +08:00
dev-app-update.yml feat: add after-build script for renaming files and updating latest.yml 2025-04-14 17:14:45 +08:00
electron-builder.yml chore(version): 1.5.2 2025-07-23 18:27:41 +08:00
electron.vite.config.ts feat: Support LLM Tracing by Alibaba Cloud EDAS product (#7895) 2025-07-20 14:53:35 +08:00
eslint.config.mjs fix: set consolelog eslint to error when in prci lint check (#8532) 2025-07-26 09:21:18 +08:00
LICENSE Update LICENSE (#4744) 2025-04-13 08:00:41 +08:00
package.json fix: #8531 (#8535) 2025-07-26 11:33:12 +08:00
playwright.config.ts test: more unit tests (#5130) 2025-05-26 16:50:26 +08:00
README.md refactor: match provider and model using a consistent method (#7933) 2025-07-23 10:45:09 +08:00
SECURITY.md refactor: model list and health check (#7997) 2025-07-21 15:57:08 +08:00
tsconfig.json feat: Support LLM Tracing by Alibaba Cloud EDAS product (#7895) 2025-07-20 14:53:35 +08:00
tsconfig.node.json feat: Support LLM Tracing by Alibaba Cloud EDAS product (#7895) 2025-07-20 14:53:35 +08:00
tsconfig.web.json feat: Support LLM Tracing by Alibaba Cloud EDAS product (#7895) 2025-07-20 14:53:35 +08:00
vitest.config.ts refactor(Knowledge): simplify dimension settings, support base migration (#8315) 2025-07-26 10:54:06 +08:00
yarn.lock fix: #8531 (#8535) 2025-07-26 11:33:12 +08:00

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Featured|HelloGitHub kangfenmao%2Fcherry-studio | Trendshift Cherry Studio - AI Chatbots, AI Desktop Client | Product Hunt

🍒 Cherry Studio

Cherry Studio is a desktop client that supports multiple LLM providers, available on Windows, Mac and Linux.

👏 Join Telegram GroupDiscord | QQ Group(575014769)

❤️ Like Cherry Studio? Give it a star 🌟 or Sponsor to support the development!

🌠 Screenshot

🌟 Key Features

  1. 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
  1. AI Assistants & Conversations:
  • 📚 300+ Pre-configured AI Assistants
  • 🤖 Custom Assistant Creation
  • 💬 Multi-model Simultaneous Conversations
  1. Document & Data Processing:
  • 📄 Supports Text, Images, Office, PDF, and more
  • ☁️ WebDAV File Management and Backup
  • 📊 Mermaid Chart Visualization
  • 💻 Code Syntax Highlighting
  1. Practical Tools Integration:
  • 🔍 Global Search Functionality
  • 📝 Topic Management System
  • 🔤 AI-powered Translation
  • 🎯 Drag-and-drop Sorting
  • 🔌 Mini Program Support
  • ⚙️ MCP(Model Context Protocol) Server
  1. 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:

  1. 🎯 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
  1. 🗂 Knowledge Management
  • Notes and Collections
  • Dynamic Canvas visualization
  • OCR capabilities
  • TTS (Text-to-Speech) support
  1. 📱 Platform Support
  • HarmonyOS Edition (PC)
  • Android App (Phase 1)
  • iOS App (Phase 1)
  • Multi-Window support
  • Window Pinning functionality
  1. 🔌 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

Welcome PR for more themes

🤝 Contributing

We welcome contributions to Cherry Studio! Here are some ways you can contribute:

  1. Contribute Code: Develop new features or optimize existing code.
  2. Fix Bugs: Submit fixes for any bugs you find.
  3. Maintain Issues: Help manage GitHub issues.
  4. Product Design: Participate in design discussions.
  5. Write Documentation: Improve user manuals and guides.
  6. Community Engagement: Join discussions and help users.
  7. Promote Usage: Spread the word about Cherry Studio.

Refer to the Branching Strategy for contribution guidelines

Getting Started

  1. Fork the Repository: Fork and clone it to your local machine.
  2. Create a Branch: For your changes.
  3. Submit Changes: Commit and push your changes.
  4. 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.

🔗 Cherry Studio Enterprise

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.

🔗 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

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