MyPrototypeWhat 939782ac4e refactor(Tools): replace MCPToolResponse with NormalToolResponse in m… (#10303)
* refactor(Tools): replace MCPToolResponse with NormalToolResponse in message tools and add new agent tools

- Updated MessageKnowledgeSearch, MessageMemorySearch, and MessageWebSearch components to use NormalToolResponse.
- Refactored MessageTool to handle NormalToolResponse and simplified tool rendering logic.
- Introduced new agent tools: BashTool, GlobTool, GrepTool, ReadTool, SearchTool, TaskTool, and TodoWriteTool with corresponding types and renderers.
- Enhanced type safety by updating tool response types in the codebase.

* fix(i18n): Auto update translations for PR #10303

* chunk type

* refactor(migration): renumber migration steps after removing step 155

Remove unused migration step 155 and renumber subsequent steps to maintain sequence

* fix(store): prevent mutation of assistant presets by using spread operator

* fix(store): ignore ts-2589 false positives and refactor preset updates

Refactor assistant preset updates to use forEach instead of map for consistency
Add ts-ignore comments for TypeScript false positives in store operations

* Fix tool result handling and session creation flow

- Populate toolName in tool-result chunks from contentBlockState
- Add onSessionCreated callback to SessionModal for post-creation actions
- Return created session from useSessions hook and update SWR cache optimistically

* Fix toolName reference in ClaudeCode message transformation

- Correctly reference toolName from contentBlockState using blockKey instead of block.tool_use_id
- Ensure proper tool result chunk generation when handling assistant messages
- Maintain consistent data structure for tool call processing

* Fix toolName reference and add stream event logging

- Correct toolName lookup to use tool_use_id instead of blockKey in tool-result chunks
- Add debug logging for stream event handling
- Update contentBlockState key to use event.content_block.id for tool_use events

* Add debug logging for message content blocks

- Log each content block when processing user or assistant messages
- Maintain existing switch case logic for text block handling
- Improve debugging visibility for multi-block message processing

* get toolName

* chore: bump version to 1.7.0-alpha.1

* fix(getSdkClient): add authToken to anthropic client initialization for claude code

* Update transform.ts

* Refactor logging levels in transform.ts and adjust JSON body parser configuration in app.ts

* refactor(sessions): simplify session creation by removing modal and using direct button

The SessionModal component was removed and replaced with a direct button click handler that creates a session using the agent data. Also added error handling to display an alert when session fetching fails.

* feat(agents): add api server check and warning for agent features

- Add api server enabled check in multiple components
- Show warning alert when api server is disabled
- Add dismissable warning in AgentSection
- Disable send button when api server is disabled
- Add iknow state to store dismissed warnings

* feat(i18n): add warning message for enabling API server

Add warning message in multiple languages to inform users they need to enable API server to use agent features

* feat(sessions): make session creation async and set active session

Dispatch active session id after successful creation to ensure UI reflects current state

* feat(sessions): add session waiting state and improve deletion handling

- Add sessionWaiting state to track updating/deleting sessions
- Extract updateSession logic into separate hook
- Improve session deletion with waiting state and fallback session selection
- Disable session items during deletion to prevent duplicate actions

* feat(i18n): add error message for last session deletion

Add error message to prevent deletion of the last session in all supported languages

* fix(i18n): Auto update translations for PR #10096

* fix(i18n): Auto update translations for PR #10096

* feat(tools): add WriteTool and update tool rendering logic

- Introduced WriteTool for handling file writing operations.
- Updated MessageAgentTools to include the new WriteTool in the tool renderers.
- Refactored existing tools to streamline rendering and improve code clarity.
- Enhanced BashTool and TaskTool to better display input and output information.

---------

Co-authored-by: GitHub Action <action@github.com>
Co-authored-by: suyao <sy20010504@gmail.com>
Co-authored-by: icarus <eurfelux@gmail.com>
Co-authored-by: Vaayne <liu.vaayne@gmail.com>
2025-09-22 19:53:10 +08:00
2025-09-21 16:44:54 +08:00
2025-08-10 14:27:26 +08:00
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Featured|HelloGitHub CherryHQ%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, Perplexity, 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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🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.
Readme AGPL-3.0 171 MiB
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CSS 0.6%
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