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Agent OS Platform

Agent OS Platform is an open-source API and web application for managing LLM-driven multi-agent workflows. Building on OpenAI's Assistants API, it offers a collaborative environment for developing, testing, and deploying AI teams.

Architecture

Backend

  • FastAPI application for API and WebSocket endpoints
  • Firebase Authentication and Firestore for data persistence
  • E2B for secure sandbox execution
  • Redis for message bus and state management

Frontend

  • Gatsby-based web application
  • TailwindCSS for styling
  • Ant Design for UI components
  • Real-time updates via WebSocket

Key Features

  • Configuration Management: Centrally manage configurations for agencies, agents, and skills
  • Custom Skills: Extend AI agents with specialized skills
  • Secure Execution: Isolated sandbox environments for running agent code
  • Real-time Communication: WebSocket support for live updates
  • Modern UI: Beautiful and responsive interface with best UX practices

Getting Started

Quick Start with Docker

  1. Create .env.docker from .env.docker.testing template
  2. Run: 
    source .env.docker
FIREBASE_CONFIG=$FIREBASE_CONFIG docker-compose up --build

Local Development

  1. Backend (FastAPI):

    cd backend
pip install -r requirements.txt
uvicorn main:app --reload

  2. Frontend (Gatsby):

    cd frontend
npm install
yarn start

For detailed setup instructions, refer to:

Status

Note

Agent OS Platform is a research project exploring multi-agent workflows.