T
ThinkInAIXYZ/deepchat
Desktop assistant that connects models to personal tools
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Install command from the repository
pip install setuptools
Parsed from the README we fetched on 2026-11-06; we have not executed it.
This is the install method the repository states, not an MCP client config, so no JSON is generated.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
pip install setuptools
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
pip install setuptools. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
DeepChat - Open-Source Local-First AI Agent Desktop Client
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
DeepChat is an open-source, local-first AI agent desktop client with rich agent capabilities, designed around the Tape.systems philosophy, with support for MCP, Skills, ACP, and remote control integrations for messaging apps.
中文 / English / 日本語
## 📑 Table of Contents
📑 Table of Contents
🚀 Project Introduction
💡 Why Choose DeepChat
📦 Quick Start
Download and Install
Configure Models
Start Conversations
🔥 Main Features
📼 Tape & Trace
🧠 Skills Support
🧩 ACP Integration (Agent Client Protocol)
📡 Remote Control
🤖 Supported Model Providers
Compatible with any model provider in OpenAI/Gemini/Anthropic API format
🔍 Use Cases
💻 Development Guide
Install Dependencies
Start Development
Build
👥 Community \& Contribution
⭐ Star History
👨💻 Contributors
📃 License
## 🚀 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:
中文 / English / 日本語
## 📑 Table of Contents
📑 Table of Contents
🚀 Project Introduction
💡 Why Choose DeepChat
📦 Quick Start
Download and Install
Configure Models
Start Conversations
🔥 Main Features
📼 Tape & Trace
🧠 Skills Support
🧩 ACP Integration (Agent Client Protocol)
📡 Remote Control
🤖 Supported Model Providers
Compatible with any model provider in OpenAI/Gemini/Anthropic API format
🔍 Use Cases
💻 Development Guide
Install Dependencies
Start Development
Build
👥 Community \& Contribution
⭐ Star History
👨💻 Contributors
📃 License
## 🚀 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:
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