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genai-agentos

by Meterless889PythonUpdated 2025-09-12

GenAI infrastructure

GenAI AgentOS is a comprehensive infrastructure platform for deploying and managing AI agents at scale. The system provides a full-stack environment including PostgreSQL database, Redis caching, Celery task queue, REST API backend, web frontend, and CLI tools. It supports three agent protocol types: native GenAI agents via the genai-protocol library, MCP (Model Context Protocol) servers, and A2A (Agent to Agent Protocol) servers. Developers can register custom agents, manage them through a web UI or CLI, and expose them via WebSocket endpoints for real-time communication.

Key Features

Multi-protocol agent support: GenAI protocol, MCP servers (streamable-http), and A2A servers
Complete Docker Compose infrastructure with PostgreSQL, Redis, Celery, backend API, and frontend UI
CLI tools for user signup, login, and agent registration with JWT authentication
Web-based agent management interface accessible at localhost:3000
OpenAI GPT-4o integration for LLM capabilities
WebSocket router for real-time agent communication on port 8080
Optional Ngrok tunneling for exposing local WebSocket endpoints publicly
Swagger API documentation at localhost:8000/docs for REST endpoints

Use Cases

  • 01Building and deploying custom GenAI agents that communicate via the genai-protocol library
  • 02Integrating external MCP servers into a unified agent orchestration platform
  • 03Creating agent-to-agent communication networks using A2A protocol servers
  • 04Developing multi-agent systems with centralized management and monitoring
  • 05Exposing local AI agents to external services via Ngrok WebSocket tunnels
  • 06Prototyping agent workflows with Docker-based local development environment

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genai-agentos — FAQ

What is GenAI AgentOS?+

GenAI AgentOS is a complete infrastructure platform for running and managing AI agents. It supports three agent types: native GenAI agents, MCP servers, and A2A protocol servers, all orchestrated through a unified backend with web UI and CLI tools.

How do I install and run GenAI AgentOS locally?+

Clone the repository, copy the .env-example file to .env, ensure Docker Desktop is running, then execute 'make up' or 'docker compose up'. The frontend will be available at localhost:3000 and the API at localhost:8000.

What prerequisites do I need to run this platform?+

You need Docker, Docker Compose, and optionally Make installed on your system. For AI model access, you'll need an OpenAI API key for GPT-4o. Ngrok is optional for exposing local agents publicly.

How do I add MCP servers to GenAI AgentOS?+

MCP servers can be added through the web UI by pasting their full URL (e.g., http://host.docker.internal:8000/mcp). The MCP server must support the streamable-http protocol and be remotely accessible.

Is GenAI AgentOS free to use?+

Yes, GenAI AgentOS is open source under the MIT license and free to use. However, you'll incur costs from third-party services like OpenAI API usage.

Can I connect this platform to Claude Desktop or other AI clients?+

GenAI AgentOS is a standalone agent infrastructure platform rather than an MCP server for AI clients like Claude Desktop. It serves as a host environment for managing multiple agents and MCP servers together.

How do I install genai-agentos?+

Open the source repository on GitHub and follow its README. genai-agentos is a agent — MCP Agents Market links you directly to the official repo.

Is genai-agentos free?+

genai-agentos is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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