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:

• Backend README
• Frontend README

Status

Note

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