Deepchat: Effortlessly Human, Smarter Solutions

Deepchat's AI-driven conversations feel effortlessly human—smarter interactions, seamless solutions. Your game-changer for engaging, intuitive chat!

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About Deepchat

What is Deepchat: Effortlessly Human, Smarter Solutions?

Deepchat is an advanced AI-powered platform designed to bridge the gap between human-like interaction and sophisticated machine learning models. Whether you're a developer integrating AI into workflows or a researcher exploring multimodal datasets, Deepchat simplifies access to cutting-edge models through intuitive interfaces and robust APIs. Built with flexibility in mind, it supports over 20 major model providers including Azure OpenAI, OpenRouter, and Ollama, ensuring seamless integration without requiring API adaptation.

How to Use Deepchat: Effortlessly Human, Smarter Solutions?

Install dependencies tailored to your OS architecture using npm commands provided in the development section
Launch the development environment with npm run dev for real-time code updates
Deploy production builds using platform-specific commands for Windows/macOS/Linux
Manage local models through Ollama integration for faster inference
Customize search engines by configuring model-parsed queries without API dependencies

Deepchat Features

Key Features of Deepchat: Effortlessly Human, Smarter Solutions?

Universal Compatibility

Automatically adapts to OpenAI/Gemini/Anthropic API formats, supporting 90% of existing model providers out-of-the-box

Local Ecosystem

Full-stack local processing: model inference, file handling, and artifact management without cloud dependencies

Development Acceleration

Included MCP runtime environment eliminates Node.js installation requirements for quick prototyping

Security & Control

End-to-end data ownership with local backups and role-based access controls for enterprise deployments

Use Cases of Deepchat: Effortlessly Human, Smarter Solutions?

Chatbot Development: Rapid prototyping with over 150 supported models through standardized API interfaces
Multimodal Workflows: Process image-text pairs or video transcripts using compatible models like Llama-VL
Enterprise Integration: Securely connect legacy systems via customizable search engine APIs
Research Pipelines: Automate model testing across 12+ architectures using built-in benchmarking tools
Edge Computing: Deploy lightweight model containers on Raspberry Pi devices through ARM64 optimizations

Deepchat FAQ

FAQ from Deepchat: Effortlessly Human, Smarter Solutions?

Do I need Node.js installed?

No. The MCP environment includes npx runtime, allowing development without prior Node.js setup

How do I backup my workspace?

Use deepctl backup command to create encrypted snapshots of models, configurations and artifacts

Does it support Windows Subsystem for Linux?

Yes. Full compatibility with WSL2 including GPU acceleration through CUDA passthrough

Can I use custom models?

Yes. Add new providers via JSON schema definitions in /providers/ directory

Content

DeepChat

Dolphins are good friends of whales, and DeepChat is your good assistant

中文 / English

Reasoning

Search

Latex

Artifacts support

Main Features

🌐 Supports multiple model cloud services: DeepSeek, OpenAI, Silicon Flow, etc.
🏠 Supports local model deployment: Ollama
🚀 Multi-channel chat concurrency support, switch to other conversations without waiting for the model to finish generating, efficiency Max
💻 Supports multiple platforms: Windows, macOS, Linux
📄 Complete Markdown rendering, excellent code module rendering
🌟 Easy to use, with a complete guide page, you can get started immediately without understanding complex concepts

Currently Supported Model Providers

Ollama	Deepseek	Silicon	QwenLM
Doubao	MiniMax	Fireworks	PPIO
OpenAI	Gemini	GitHub Models	Moonshot
OpenRouter	Azure OpenAI	Compatible with any model provider in openai/gemini API format

Other Features

Support for local model management with Ollama
Support for local file processing
Artifacts support
Customizable search engines (parsed through models, no API adaptation required)
MCP support (built-in npx, no additional node environment installation needed)
Support for multimodality models
Local chat data backup and recovery
Compatibility with any model provider in OpenAI, Gemini, and Anthropic API formats

Development

Please read the Contribution Guidelines Windows and Linux are packaged by GitHub Action. For Mac-related signing and packaging, please refer to the Mac Release Guide.

Install dependencies

$ npm install
$ npm run installRuntime
# for windows x64
$ npm install --cpu=x64 --os=win32 sharp
# for mac apple silicon
$ npm install --cpu=arm64 --os=darwin sharp
# for mac intel
$ npm install --cpu=x64 --os=darwin sharp
# for linux x64
$ npm install --cpu=x64 --os=linux sharp

Start development

$ npm run dev

Build

# For windows
$ npm run build:win

# For macOS
$ npm run build:mac

# For Linux
$ npm run build:linux

# Specify architecture packaging
$ npm run build:win:x64
$ npm run build:win:arm64
$ npm run build:mac:x64
$ npm run build:mac:arm64
$ npm run build:linux:x64
$ npm run build:linux:arm64

Star History

Contributors

Thank you for considering contributing to deepchat! The contribution guide can be found in the Contribution Guidelines.

📃 License

LICENSE