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Basic Information

DeepChat is an open-source, cross-platform AI chat application that provides a unified desktop interface for interacting with many large language models. It targets end users who want a single app to manage cloud APIs and local models, supporting providers in OpenAI, Gemini, Anthropic formats and local Ollama deployments. The project is built with Electron and Vue and emphasizes multimodal interaction, search-enhanced responses, and tool calling via the MCP protocol. It packages native installers for Windows, macOS, and Linux and includes developer tooling for building and contributing. The README and docs cover installation, model configuration, conversation management, and development workflows, making it suitable for both everyday assistants and power users who need advanced features without command line operations.

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App Details

Features
DeepChat supports many cloud model providers and local Ollama models, providing unified multi-model management. It offers advanced MCP tool calling with Resources, Prompts, and Tools support and a built-in Node runtime for executing MCP services out of the box. Search enhancement integrates multiple search engines and simulated browsing to supply timely external context. The UI includes multi-window and multi-tab sessions, full Markdown and code block rendering via CodeMirror, artifacts rendering to save tokens, message retry and conversation forking, and multimodal output including images and Mermaid diagrams. Security and privacy features include local data storage, network proxy support, encryption interfaces, deep link support, and packaged installers for major desktop platforms.
Use Cases
DeepChat helps users access and compare diverse LLMs from one application, reducing the need to switch between providers and command line tools. It simplifies local model management through integrated Ollama controls and enables models to call external tools or perform web searches via MCP, improving response accuracy and capability. For developers and non-technical users it offers a friendly GUI for configuring model providers, starting conversations, and installing MCP services. Use cases listed include daily assistance, development aid like code generation and debugging, learning and tutoring, content creation and optimization, and data analysis and reporting. Its open source Apache 2.0 license and decoupled architecture support business integration and customization.

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