# Suna — Open-Source Autonomous AI Agent Platform

> Suna is an open-source AI agent platform by Kortix that provides agents with a full Linux sandbox, persistent memory, 60+ skills, and multi-channel access. Agents can browse the web, write code, manage files, call APIs, and run infrastructure tasks autonomously.

## Install

Save as a script file and run:

# Suna — Open-Source Autonomous AI Agent Platform

## Quick Use
```bash
git clone https://github.com/kortix-ai/suna.git
cd suna
cp .env.example .env
# Edit .env with your API keys
docker compose up -d
# Open http://localhost:3000
```

## Introduction
Suna gives AI agents a real computer to work in — a full Linux Ubuntu sandbox with bash, a filesystem, a browser, and network access. Instead of chat-only interactions, agents can execute multi-step tasks by writing scripts, browsing websites, manipulating files, and calling external services.

## What Suna Does
- Provides AI agents with an isolated Linux sandbox for executing arbitrary tasks
- Includes a built-in browser for web research, scraping, and form filling
- Supports file creation, editing, and management within the agent workspace
- Offers 60+ built-in skills and 3000+ tool integrations via connectors
- Enables scheduling via cron jobs and external triggers via webhooks

## Architecture Overview
Suna consists of a Next.js frontend, a FastAPI backend, and Docker-based sandboxes. Each agent session spawns an isolated container with a full Ubuntu environment. The backend orchestrates LLM calls (supporting multiple providers), tool execution, and persistent memory storage. The agent loop follows a plan-act-observe cycle: the LLM decides on actions, the sandbox executes them, and results feed back into the next planning step. Persistent memory across sessions is stored in a PostgreSQL database.

## Self-Hosting & Configuration
- Requires Docker, Node.js 18+, and Python 3.11+
- Configure LLM provider API keys (Anthropic, OpenAI, or others) in the .env file
- Set up Supabase or PostgreSQL for persistent storage and authentication
- Customize agent behavior by editing skill definitions and system prompts
- Deploy behind a reverse proxy (Nginx, Caddy) for production HTTPS access

## Key Features
- Full Linux sandbox gives agents capabilities beyond text generation
- Persistent memory lets agents recall context across sessions
- Multi-channel access via web UI, API, and webhook triggers
- Built-in web browser with screenshot capture for visual tasks
- Open-source and self-hostable with no vendor lock-in

## Comparison with Similar Tools
- **OpenHands** — coding-focused AI agent; Suna provides a broader sandbox with browser and infrastructure skills
- **AutoGPT** — autonomous goal-driven agent; Suna emphasizes a real computing environment over prompt chaining
- **CrewAI** — multi-agent orchestration framework; Suna is a full platform with UI, persistence, and sandboxing
- **E2B** — secure sandboxes as a service; Suna bundles the sandbox with the agent framework and UI
- **Open Interpreter** — runs code via natural language locally; Suna isolates execution in Docker containers

## FAQ
**Q: What LLM providers does Suna support?**
A: Suna supports Anthropic Claude, OpenAI, and other providers via configurable API endpoints.

**Q: Is the agent sandbox secure?**
A: Each session runs in an isolated Docker container with no access to the host system.

**Q: Can Suna handle long-running tasks?**
A: Yes. Tasks can run for extended periods, and cron-based scheduling supports recurring jobs.

**Q: What license is Suna released under?**
A: Suna is released under the Apache 2.0 license.

## Sources
- https://github.com/kortix-ai/suna
- https://suna.so/

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Source: https://tokrepo.com/en/workflows/asset-86da3c1a
Author: Script Depot