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Phantom 96a4c95a3a
feat: context message in message group (#8833)
* stash

* docs(newMessage): 修正注释中的拼写错误

* refactor(MessageGroup): 优化组件逻辑和状态管理

重构消息组件的状态管理和逻辑顺序,提升代码可读性
将相关状态和逻辑分组,并提取公共变量

* feat(消息组件): 添加消息有用性更新功能

在MessageGroup组件中实现onUpdateUseful回调,用于更新消息的有用状态
当标记某条消息为有用时,自动取消其他消息的有用标记

* fix(i18n): 更新多语言翻译文件中的键值

- 将中文简体中的"useful"键值从"有用"改为"设置为上下文"
- 在其他语言文件中为"useful"键添加待翻译标记
- 在部分语言文件中添加"merge"、"longRunning"等新键的待翻译标记

* feat(消息组): 添加群组上下文消息标识和有用消息提示

为消息组添加上下文消息标识功能,当消息被标记为有用时显示特殊标识
优化消息菜单栏的有用按钮提示文本
修复消息菜单栏依赖项数组不完整的问题

* feat(i18n): 更新多语言翻译文件并改进自动翻译脚本

为"useful"字段添加label和tip翻译,完善多个语言的翻译内容
改进自动翻译脚本,使用语言映射替换文件名

* docs(i18n): 更新多语言文件中上下文提示的翻译文本

* docs(messageUtils): 标记废弃工具调用结果消息构造函数

标记 `构造带工具调用结果的消息内容` 函数为废弃状态,后续将移除

* refactor(消息过滤): 重命名filterContextMessages为filterAfterContextClearMessages以更准确描述功能

* fix(MessageGroup): 修复依赖数组中缺少groupContextMessageId的问题

* feat(消息过滤): 添加根据上下文数量过滤消息的功能

* refactor(消息过滤): 拆分消息过滤逻辑并添加日志

将filterUsefulMessages函数拆分为多个独立函数,提高代码可维护性
添加日志输出以便调试消息过滤过程

* refactor(消息过滤): 优化聊天消息过滤逻辑并添加调试日志

重构消息过滤流程,将原有单步过滤拆分为多步处理
添加调试日志以跟踪各阶段过滤结果

* refactor(messageUtils): 移除未使用的logger并优化消息过滤逻辑

移除未使用的logger导入和调用,添加filterAdjacentUserMessaegs过滤步骤优化消息处理流程

* refactor(消息服务): 重构获取上下文消息数量的逻辑

使用 filterContextMessages 工具函数替代 lodash 的 takeRight 和手动计算逻辑

* fix(消息工具): 修复分组消息排序顺序错误

* fix(消息过滤): 优化消息组过滤逻辑,保留有用消息或最后一条消息

修改 filterUsefulMessages 函数注释以更清晰说明过滤逻辑
在 MessageGroup 组件中使用 lodash 的 last 方法获取最后一条消息

* fix(MessageGroup): 修复消息有用性更新逻辑的错误

处理消息有用性状态更新时,添加对消息存在性的检查并优化状态切换逻辑

* fix(Messages): 修复分组消息内部顺序不正确的问题

由于displayMessages是倒序的,导致分组后的消息内部顺序也是倒序的。通过toReversed()将每个分组内部的消息顺序再次反转,确保正确显示

* fix(消息过滤): 修改未标记有用消息的保留策略,从保留最后一条改为第一条

* fix: 将onUpdateUseful属性改为可选以处理未定义情况

* refactor(ApiService): 移除冗余的日志记录调用

* docs(types): 去除Message类型中useful字段的过时注释

* refactor(messageUtils): 移除分组消息中的冗余排序操作

原代码在分组消息时已经按原始索引顺序添加,无需再次排序
2025-08-10 18:17:56 +08:00
.github feat: add RPM target support for Linux builds (#9026) 2025-08-10 12:08:36 +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 fix: support gpt-5 (#8945) 2025-08-10 14:27:26 +08:00
build feat(installer): add architecture compatibility check to NSIS installer (#8587) 2025-07-28 21:41:05 +08:00
docs refactor(Preview,CodeBlock): preview components and tools (#8565) 2025-08-06 20:09:49 +08:00
packages feat: support bypass proxy (#8791) 2025-08-04 19:24:28 +08:00
resources feat: add OpenAI o3 model support with enhanced tool calling (#8253) 2025-08-04 23:19:21 +08:00
scripts feat: context message in message group (#8833) 2025-08-10 18:17:56 +08:00
src feat: context message in message group (#8833) 2025-08-10 18:17:56 +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 fix: support gpt-5 (#8945) 2025-08-10 14:27:26 +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: add CLAUDE.local.md to .gitignore 2025-08-06 19:43:46 +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 Revert "feat(cherry-store): add cherry store (#8683)" 2025-08-06 14:29:55 +08:00
.yarnrc.yml chore: upgrade yarn version to v4.9.1 2025-05-22 15:48:20 +08:00
CLAUDE.md feat: add OpenAI o3 model support with enhanced tool calling (#8253) 2025-08-04 23:19:21 +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 feat: add RPM target support for Linux builds (#9026) 2025-08-10 12:08:36 +08:00
electron.vite.config.ts Revert "feat(cherry-store): add cherry store (#8683)" 2025-08-06 14:29:55 +08:00
eslint.config.mjs Revert "feat(cherry-store): add cherry store (#8683)" 2025-08-06 14:29:55 +08:00
LICENSE Update LICENSE (#4744) 2025-04-13 08:00:41 +08:00
package.json fix: support gpt-5 (#8945) 2025-08-10 14:27:26 +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 Revert "feat(cherry-store): add cherry store (#8683)" 2025-08-06 14:29:55 +08:00
tsconfig.node.json Revert "feat(cherry-store): add cherry store (#8683)" 2025-08-06 14:29:55 +08:00
tsconfig.web.json chore(tsconfig): adjust the path order (#8769) 2025-08-02 00:05:15 +08:00
vitest.config.ts Revert "feat(cherry-store): add cherry store (#8683)" 2025-08-06 14:29:55 +08:00
yarn.lock fix: support gpt-5 (#8945) 2025-08-10 14:27:26 +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.

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❤️ 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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