📑 Table of Contents
🚀 Project Introduction
DeepChat is a powerful open-source, local-first AI agent desktop client that brings together models, tools, Skills, agent runtimes, Tape, and long-running sessions in one desktop app. Whether you're using cloud APIs like OpenAI, Gemini, Anthropic, or locally deployed Ollama models, DeepChat delivers a smooth user experience.
DeepChat's sessions and agent processes follow the Tape.systems philosophy: keep the process, so context, tool calls, requests, and results stay recoverable, traceable, and inspectable. It also provides strong MCP support, installable Skills, ACP agent integration, and remote control for Telegram, Feishu/Lark, QQBot, Discord, WeChat iLink, and other messaging workflows.
💡 Why Choose DeepChat
Compared to other AI tools, DeepChat offers the following unique advantages:
- Local-First Agent Desktop Client: Run DeepChat agents, ACP agents, and remote-ready bots in one local app
- Tape.systems Philosophy: Preserve recoverable session history, trace request context, and inspect token budgets when agent work gets complex
- Skills That Travel: Install, import, export, and enable reusable Skills per conversation for code review, documents, frontend work, Office/PDF tasks, and more
- Native ACP Integration: Run ACP-compatible coding and task agents as first-class entries in the model selector
- Strong MCP Support: Support Resources, Prompts, Tools, multiple transports, inMemory services, and one-click installation
- Remote-Ready Workflows: Control DeepChat sessions from Telegram, Feishu/Lark, QQBot, Discord, and WeChat iLink
- Unified Multi-Model Management: One application supports mainstream cloud LLMs and local Ollama models, eliminating the need to switch between multiple apps
- Privacy-Focused: Local data storage and network proxy support reduce the risk of information leakage
- Business-Friendly: Embraces open source under the Apache License 2.0, suitable for both commercial and personal use
📦 Quick Start
Download and Install
You can install DeepChat using one of the following methods:
Option 1: GitHub Releases
Download the latest version for your system from the GitHub Releases page:
- Windows:
.exe installation file
- macOS:
.dmg installation file
- Linux:
.AppImage or .deb installation file
Option 2: Official Website
Download from the official website.
Option 3: Homebrew (macOS only)
For macOS users, you can install DeepChat using Homebrew:
brew install --cask deepchat
Configure Models
- Launch the DeepChat application
- Click the settings icon
- Select the "Model Providers" tab
- Add your API keys or configure local Ollama
Start Conversations
- Click the "+" button to create a new conversation
- Select the model you want to use
- Start communicating with your AI assistant
This is the beginning of the README. Read the rest at the original. Read the full README ↗
