DeepChat is an open-source desktop AI assistant from the ThinkInAI community for Windows, macOS, and Linux, with over 6,000 GitHub stars. Its positioning: a multi-model client refined around productivity scenarios. It unifies OpenAI, Anthropic, Gemini, DeepSeek, Ollama, and other cloud and local models into one interface, and adds tool capabilities — search, files, code execution — through MCP support. Against its peers it offers several pleasant engineering details: a multi-window plus multi-tab architecture for parallel sessions (different tasks on different models without blocking each other), native friendliness toward Chinese model providers and search sources, and a restrained privacy posture (local data storage, fully offline with local models). As a community-driven project it iterates along its users’ highest-frequency needs, making it a credible third option beside Chatbox and Cherry Studio.
Quick Verdict
If you want a free desktop multi-model client with MCP support and strong support for Chinese model providers and search sources, DeepChat is worth downloading — multi-window parallelism is its distinctive experience. Cherry Studio remains the feature-breadth benchmark and Chatbox the simplicity pick; all three are free, so thirty minutes of hands-on testing settles the choice.
Best For
DeepChat is best for multi-model users managing their own API keys, desktop MCP explorers, and heavy users juggling parallel tasks. It is not for teams needing shared server deployments (that is Open WebUI’s domain), nor for users who refuse any configuration — official web products are simpler for them.
Key Features
- Unified multi-model access: OpenAI, Claude, Gemini, DeepSeek, Doubao, Qwen, and Ollama local models managed together.
- MCP tool support: connect MCP servers so models can search, access files, and run code.
- Multi-window + multi-tab: parallel sessions with different models that never block each other.
- Web search integration: multiple search engines improve answer freshness.
- Multimodal basics: image understanding and file attachments for daily workflows.
- Local data storage: sessions and settings stay on the machine; fully offline with local models.
Use Cases
- Parallel multitasking: writing, coding, and translation each in its own window on its best-suited model.
- Multi-provider workbench: one desktop entry point for a portfolio of model APIs.
- MCP experiments: wire file and search tools into models for personal automation flows.
- Offline private work: Ollama plus local storage keeps sensitive content on-device.
- Fresh information queries: search-augmented Q&A for time-sensitive material.
Pricing
| Edition | Pricing view | Best for | Notes |
|---|---|---|---|
| Open-source desktop app | Completely free (Apache 2.0) | All users | Installers for all three platforms; bring your own API keys |
The software is free; costs are whatever model APIs you configure — zero with local models.
Pros
- Free, open source, no in-app purchases, with top-tier support for Chinese model providers and search sources.
- Multi-window, multi-tab parallel workflow is unique in its class.
- Complete MCP support with a usable tool ecosystem.
- Clear local-first privacy posture.
Cons
- Younger project with a smaller community and thinner documentation than Chatbox or Cherry Studio.
- Feature breadth (assistant marketplace, image generation, and other extras) trails Cherry Studio.
- No mobile apps or cloud sync for multi-device users.
- Fast iteration occasionally brings version stability wobbles.
Alternatives
| Tool | Better for | How it differs |
|---|---|---|
| Cherry Studio | Feature-maximalist users | Broader features and bigger community; DeepChat is lighter with better parallelism |
| Chatbox | Lightweight use across six platforms | Multi-platform reach and hosted option; weaker MCP and parallel capabilities |
| 5ire | MCP-first minimalist client | 5ire has a tool marketplace; DeepChat wins on Chinese provider/search friendliness |
| Open WebUI | Team server deployments | Multi-user web service; DeepChat is a personal desktop client |
FAQ
Is DeepChat free?
Yes — Apache 2.0 open source, completely free; model API costs are yours (zero with local models).
How do I choose among DeepChat, Chatbox, and Cherry Studio?
All-round breadth: Cherry Studio. Multi-platform simplicity: Chatbox. MCP plus multi-window parallelism plus Chinese provider friendliness: DeepChat. All free — test them.
Does it support local models?
Yes, via Ollama, with local storage enabling a fully offline setup.
Does it support MCP tools?
Yes — connect MCP servers for search, filesystem, and code execution capabilities.
Is it beginner-friendly?
The interface is approachable, but you need to understand and supply API keys (or install Ollama first); zero-config users should stick with web products.
Bottom Line
DeepChat is a capable newcomer among open-source desktop AI clients, playing three clear cards: MCP, multi-window parallelism, and Chinese-provider friendliness. It does not need to dethrone Cherry Studio or Chatbox — for users whose profile is exactly “parallel tasks + domestic models + tool calling”, it may simply be the best fit.