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About DeepChat

Your AI Partner on Desktop

Overview

What is DeepChat?

DeepChat is a desktop chat client that supports multiple cloud and local large language model providers, including DeepSeek, OpenAI, Gemini, Ollama, and others. It runs on Windows, macOS, and Linux, and is designed for users who want a unified, feature-rich interface for interacting with various AI models.

How to use DeepChat?

Users install DeepChat on their chosen platform and configure their preferred model providers (cloud or local) through the intuitive interface. To connect MCP servers, users can leverage the built-in configuration interface and support for StreamableHTTP/SSE/Stdio protocols, with a built-in Node.js runtime for services like npx.

Key features of DeepChat

  • Supports multiple cloud LLM providers (DeepSeek, OpenAI, Gemini, Anthropic, etc.)
  • Local model deployment and management via Ollama without command-line operations
  • Rich chatbot features: Markdown, multi-session, artifacts, retry, fork
  • Robust search extension capabilities with built-in search APIs and engine simulation
  • Excellent MCP support with user-friendly configuration and tool call debugging
  • Multi-platform support: Windows, macOS, Linux
  • Privacy protection: screen projection hiding, network proxies, encrypted data

Use cases of DeepChat

  • Conducting multi-turn conversations with cloud or local LLMs in a single interface
  • Using MCP tools to let models execute code, retrieve web info, or perform file operations
  • Searching the web intelligently by integrating search engines and letting the model decide when to search
  • Rendering artifacts, images, Mermaid diagrams, and LaTeX for diverse output presentations

FAQ from DeepChat

How does DeepChat compare to using a model provider's native interface?

DeepChat aggregates multiple providers and local models in one app, adds MCP tool integration, search, and artifact support, and provides a consistent user experience across platforms.

What platforms and models are supported?

DeepChat runs on Windows, macOS, and Linux. It supports cloud models from providers like DeepSeek, OpenAI, Gemini, Anthropic, Grok, Silicon Flow, and many more, as well as local models via Ollama.

How does DeepChat support MCP?

DeepChat has an intuitive MCP configuration interface, supports StreamableHTTP/SSE/Stdio protocols, includes a built-in Node.js runtime for npx services, and provides a detailed tool call debugging window.

Is DeepChat free and open source?

DeepChat is licensed under Apache License 2.0, meaning it is free and open source for both personal and commercial use.

What are known limitations?

The README does not explicitly list limitations; however, it mentions that for Mac signing/packaging, users should refer to a separate guide. The app is actively developed.

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