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xark-argo/argo

Desktop agent platform with local models and offline RAG

Before you install: no copy-paste command · no license recorded · link reachable

First step: nothing runnable here yet - start from the repository: https://github.com/xark-argo/argo

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site

We have neither an install command nor a public remote endpoint from this repository, so we do not print a config. A made-up one is worse than none. How each client wires MCP up →

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
FAQ (answers come from our records)
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.

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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[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/en/s/xark-argo-argo/)
Source
awesome · https://github.com/xark-argo/argo
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