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xark-argo/argo

Desktop agent platform with local models and offline RAG

装之前:没有可直接复制的命令 · 许可证未标注 · 链接可访问

第一步:这条暂时没有可执行的下一步,可先看原仓库 https://github.com/xark-argo/argo

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网

我们没有从该仓库取到可核对的安装命令,也没有公开的远端端点。这两样都没有时,我们不出配置——编一条出来比不给更糟。 各客户端的接法 →

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收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
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收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
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综合分 1,003 · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

中文 | English | Official Website | Documentation | 官方网站 | 文档 | Contribute | Feedb

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

# ⛵️ ARGO - Your Local Super AI Agent
ARGO is an open-source AI Agent client that makes it easy to build & use AI-powered assistants capable of autonomous thinking, task planning, and handling complex tasks. It supports one-click download of open-source models and integrates closed-source models, providing convenient access to local RAG knowledge bases and MCP tools. In addition, ARGO can be fully deployed privately, secure and controllable, with 100% data stored locally, supporting offline operation, and is compatible with Windows, Mac, and Linux systems.
The vision of ARGO is to allow every user to have their own exclusive super AI Agent, enabling more people to benefit from the convenience AI Agents bring.
## Why Choose ARGO?
🔒 Local First, Privacy Above All — Supports full offline operation, 100% local data storage, with native clients for Windows, macOS, and Linux, plug-and-play with no configuration required. Fully compatible with public cloud, private cloud, local servers, and all-in-one machines.
🚀 Task Execution Engine That Delivers Results — The Multi-Agent task engine autonomously plans steps, calls tools, generates reports, and executes multi-stage tasks in full.
⚙️ Agent Factory — Need a travel planning assistant, industry analyst, or legal advisor? Simply describe it, and ARGO can help you customize a dedicated agent for your scenario.
📦 Integrates Ollama and Leading Providers — Instantly access OpenAI, Claude, DeepSeek, or run local Ollama models, with open access and no platform lock-in. Seamlessly switch between local models and API models during conversations.
🧩 Agentic RAG Knowledge Engine — Supports various knowledge entry methods including files, folders, websites, etc., and dynamically synchronizes folders. The Agentic mode intelligently decomposes complex issues and provides more complete and reliable answers.
🛠️ Built-in Powerful Toolset, MCP Protocol Support — Includes a powerful toolset such as web crawlers, browser control, local file management, and more, with support for custom extensions and integration of your own tools.
🧠 Self-Evolving Agent — Learns work habits and preferences during use. ARGO can autonomously optimize the agent, evolving into a super agent that truly understands you. (In testing)
👏 Join us on Discord | Twitter | WeChat Group
❤️ Love ARGO? Give us a star 🌟 to receive all release notifications from GitHub!
⚠️️ The project is still in the early stages, actively being developed. We appreciate your contributions, feedback, and patience.
🔗 Official website: https://xark-argo.com/
📚 Quick Start Guide: https://docs.xark-argo.com/getting-started
# 📑 Table of Contents
🌠 Demo
🌟 Features
📝 Development Plan
📦 Quick Start
🖥️ Develop
🤝Contributing
📃 License
⭐️ Star History
# 🌠 Demo
## Video
## Interface
# 🌟 Features
📦 Flexible Integration of Open-Source and Closed-Source Models:
One-click Ollama Integration: Integrates Ollama with no command-line operations needed to control and manage model downloads, deployment, and running.
Compatible with HuggingFace: Supports one-click downloading of models in HuggingFace GGUF format.
Chat Template Adaptive to Models: Automatically adapts the chat template when downloading open-source models.
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awesome · https://github.com/xark-argo/argo
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