A powerful open-source AI agent platform that unifies models, tools, and agents with multi-LLM chat capabilities, MCP tool calling, and ACP agent integration.
One-Minute Overview#
DeepChat is a feature-rich open-source AI agent platform that connects powerful AI models to your personal world. Whether you need daily Q&A, development assistance, learning guidance, or content creation, DeepChat provides a unified solution supporting both cloud APIs and local model deployment.
Core Value: One platform to manage all mainstream AI models without switching between multiple apps, while supporting intelligent tool calling and agent workflows.
Quick Start#
Installation Difficulty: Low - Multiple installation methods available with simple graphical interface configuration
# For macOS users, install via Homebrew
brew install --cask deepchat
Is this suitable for me?
- ✅ Personal users: Daily Q&A, creative writing, learning assistance
- ✅ Developers: Code generation, debugging, technical problem solving
- ✅ Enterprise users: Commercial deployment based on Apache 2.0 license
- ❌ Scenarios requiring highly customized API interfaces
Core Capabilities#
1. Unified Multi-Model Management#
- Supports 20+ mainstream model providers including DeepSeek, OpenAI, Gemini, Anthropic
- Compatible with any model provider in OpenAI/Gemini/Anthropic API format User Value: No need to switch between multiple apps, one platform satisfies all AI needs
2. Local Model Integration#
- Built-in Ollama support for managing local models without command-line operations
- Supports downloading, deploying, and running local models User Value: Complete data localization for privacy protection and reduced network latency
3. Intelligent Tool Calling (MCP)#
- Supports tool calling for code execution, web access, file operations, etc.
- Built-in Node.js runtime environment, no extra configuration needed User Value: Extends AI capabilities to automate complex tasks
4. ACP Agent Integration#
- Run ACP-compatible agents as selectable "models"
- Provides dedicated workspace UI for structured plans, tool calls, and terminal output User Value: Seamless integration of specialized agents like coding assistants and task-specific agents
Technology Stack & Integration#
Development Languages: Vue, JavaScript, TypeScript, Python Main Dependencies: Electron, Electron-Vite, Vue Integration Method: Desktop Application / Extensible MCP and ACP protocols
Maintenance Status#
- Development Activity: Actively maintained with regular updates
- Recent Updates: New versions recently released
- Community Response: Active community welcoming contributions and feedback
Commercial & Licensing#
License: Apache License 2.0
- ✅ Commercial Use: Allowed
- ✅ Modification: Permitted with distribution
- ⚠️ Restrictions: Must include copyright notice and license text
Documentation & Learning Resources#
- Documentation Quality: Comprehensive
- Official Documentation: Includes user guide and developer guide
- Example Code: Provides sample code and detailed tutorials