DeepChat：本地优先的AI智能体桌面客户端

🐬DeepChat - A smart assistant that connects powerful AI to your personal world

DeepChat - Open-Source Local-First AI Agent Desktop Client 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 ❤️ Sponsor Thanks to OpenModel for sponsoring this project! OpenModel offers client-specific discounts of up to 90% for Codex and 60% for Claude Code across supported models, helping developers cut API costs without changing how they work. Just connect your OpenModel API key and keep using Codex or Claude Code as usual — supported clients are detected automatically and discounted routes are applied with no extra parameters or manual routing required. You can also configure fallback behavior per API key, choosing whether to continue at standard pricing or stop when a discounted route is temporarily unavailable. DeepChat users can register via this link. PackyCode is a stable, high-performance API relay provider, offering relay services for Claude Code, Codex, Gemini, and more. With automatic failover, smart routing, and unlimited concurrency, it turns AI into a real productivity tool. Register via this link and get started! 📑 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: 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 🔥 Main Features 🤖 Local-First Agent Desktop Client Select DeepChat, ACP, and remote-capable agents from one model-like entry point Run long-lived sessions with project folders, permission modes, tool output, and resumable context 📼 Tape & Trace Session Tape records structured work history for recovery, resume, and future agent memory flows Trace previews show request sequences, provider/model metadata, Tape view manifests, included entries, and token budgets 🧠 Skills Install Skills from folders, ZIP files, or URLs Enable Skills per conversation so DeepChat can load task-specific instructions, references, and optional scripts Import and export Skills with Claude Code, Codex, Cursor, Windsurf, GitHub Copilot, and other compatible tools 🤝 ACP (Agent Client Protocol) Agent Integration Run ACP-compatible agents (built-in or custom commands) as selectable “models” ACP workspace UI for structured plans, tool calls, and terminal output when provided by the agent 📡 Remote Control Control DeepChat sessions from Telegram, Feishu/Lark, QQBot, Discord, and WeChat iLink Bind remote endpoints to sessions, switch models, answer pending interactions, stop runs, and open desktop sessions remotely 🌐 Multiple Cloud LLM Provider Support: DeepSeek, OpenAI, Moonshot/Kimi, Grok, Gemini, Anthropic, and more 🏠 Local Model Deployment Support: Integrated Ollama with comprehensive management capabilities Control and manage Ollama model downloads, deployments, and runs without command-line operations 🚀 Rich and Easy-to-Use Cha