Argo
ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloads, seamless closed LLM integration, and offline-first RAG knowledge bases, ARGO becomes a DeepResearch powerhouse for autonomous thinking,
What is Argo?
Argo is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to argo is an open-source ai agent platform that brings local manus to your desktop. with one-click model downloads, seamless closed llm integration, and offline-first rag knowledge bases, argo becomes a...
ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloads, seamless closed LLM integration, and offline-first RAG knowledge bases, ARGO becomes a DeepResearch powerhouse for autonomous thinking,
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- ARGO is an open-source AI Agent platform that brings Local M
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx argoConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Argo
ARGO is an open-source, self-hosted AI agent platform that brings a full autonomous agent workstation to your desktop — comparable to Manus but running entirely on local or self-hosted models. It supports one-click model downloads via Ollama, closed LLM integration (OpenAI, Claude, DeepSeek), offline-first RAG knowledge bases from PDFs, Word documents, Excel files, and Markdown, and a multi-agent engine with planning, tool calling, and self-reflection. ARGO ships with built-in tools for web search, browser automation, file management, and MCP protocol support (both STDIO and SSE), making it a deep research powerhouse for teams that cannot send data to external clouds.
Prerequisites
- Docker v24.0.0 or later and Docker Compose v2.26.1 or later
- Minimum 4 CPU cores and 8 GB RAM (GPU with NVIDIA Container Toolkit recommended for local models)
- An API key for at least one LLM provider (OpenAI, Anthropic, or DeepSeek) or a local Ollama installation
- An MCP-compatible client such as Claude Desktop (for connecting external agents to ARGO's MCP interface)
Clone the repository
Clone the ARGO repository from GitHub.
git clone https://github.com/xark-argo/argo.git
cd argoStart ARGO with Docker Compose
Choose the appropriate compose file for your setup. Use the base file for cloud LLMs only, the Ollama file for CPU-based local models, or the GPU file for NVIDIA GPU acceleration.
# Cloud LLMs only:
docker compose -f docker/docker-compose.yaml up -d
# With Ollama (CPU):
docker compose -f docker/docker-compose.ollama.yaml up -d
# With Ollama (NVIDIA GPU):
docker compose -f docker/docker-compose.ollama.gpu.yaml up -dAccess the ARGO web UI
Once the containers are running, open ARGO's web interface in your browser. From here you can configure LLM providers, create knowledge bases, and start agent sessions.
open http://localhost:38888Configure your LLM provider
In the ARGO settings panel, add your API key for OpenAI, Claude, or DeepSeek. If using Ollama, pull a model through the Ollama one-click download interface.
Build a RAG knowledge base
Upload local documents (PDF, Word, Excel, PPT, Markdown) to an ARGO knowledge base. The RAG system will index them for offline-first retrieval by agents.
Enable MCP server integration
In ARGO's MCP settings, enable STDIO or SSE MCP server connections to extend agents with external MCP tools. You can also register ARGO itself as an MCP server in other MCP-compatible clients if it exposes an SSE endpoint.
{
"mcpServers": {
"argo": {
"command": "npx",
"args": ["argo"]
}
}
}Argo Examples
Client configuration
Example MCP client entry for connecting to an ARGO instance. Adjust based on whether ARGO exposes a local SSE endpoint or stdio command.
{
"mcpServers": {
"argo": {
"command": "npx",
"args": ["argo"]
}
}
}Prompts to try
Example prompts that leverage ARGO's multi-agent engine, RAG knowledge base, and web tools.
- "Research the latest developments in protein folding and create a structured summary with citations."
- "Search the web for recent news about DeepSeek and add findings to my research knowledge base."
- "Use my uploaded company reports to answer: what was our highest revenue quarter in 2023?"
- "Plan and execute a multi-step research task: find three competing products, compare features, and draft a comparison table."
- "Download and summarize the arxiv paper at this URL using the local Llama model."Troubleshooting Argo
Docker containers fail to start or are unhealthy
Check Docker version meets the minimum (v24.0.0). Run 'docker compose logs' to see startup errors. Ensure port 38888 is not in use by another process.
Local Ollama models are not available after pulling
If using the Ollama compose file, models must be pulled via ARGO's UI or directly via 'docker exec -it <ollama-container> ollama pull <model>'. GPU setup also requires the NVIDIA Container Toolkit to be installed on the host.
RAG knowledge base returns irrelevant results
Ensure the knowledge base was fully indexed after uploading documents. Large documents may take time to embed. Re-upload and wait for the indexing progress indicator to complete before querying.
Frequently Asked Questions about Argo
What is Argo?
Argo is a Model Context Protocol (MCP) server that argo is an open-source ai agent platform that brings local manus to your desktop. with one-click model downloads, seamless closed llm integration, and offline-first rag knowledge bases, argo becomes a deepresearch powerhouse for autonomous thinking, It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Argo?
Follow the installation instructions on the Argo GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Argo?
Argo works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Argo free to use?
Yes, Argo is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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Set Up Argo in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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