# SuperAGI — Dev-First Autonomous AI Agent Platform

> Open-source framework for building, managing, and running autonomous AI agents with a web-based management console and tool marketplace.

## Install

Save in your project root:

# SuperAGI — Dev-First Autonomous AI Agent Platform

## Quick Use
```bash
git clone https://github.com/TransformerOptimus/SuperAGI && cd SuperAGI
cp config_template.yaml config.yaml  # add your API keys
docker compose up -d
# Open http://localhost:3000 in your browser
```

## Introduction
SuperAGI is a platform for building and deploying autonomous AI agents. It provides a web-based management console for creating agents, assigning tools, and monitoring execution runs. Developers can extend agents with custom tools from a built-in marketplace.

## What SuperAGI Does
- Provides a GUI console for creating, configuring, and managing autonomous agents
- Supports concurrent execution of multiple agents with resource management
- Offers a tool marketplace with integrations for web search, file operations, and APIs
- Logs agent actions and decisions for observability and debugging
- Manages agent memory using vector stores for long-term context

## Architecture Overview
SuperAGI is built with a Python backend (FastAPI) and a React frontend. Agents execute in isolated processes managed by a scheduler. Each agent follows a loop of thinking, tool selection, and action execution. The system stores agent state and memory in a PostgreSQL database with optional vector store integration for semantic retrieval.

## Self-Hosting & Configuration
- Deploy with Docker Compose using the provided configuration
- Set LLM provider API keys in the config.yaml file
- Access the web console at localhost:3000 for agent management
- Configure vector store backend (Pinecone, Qdrant, or Weaviate) for agent memory
- Add custom tools by implementing the BaseTool interface

## Key Features
- Web-based console for visual agent creation and monitoring
- Tool marketplace with pre-built integrations for common tasks
- Concurrent multi-agent execution with resource guardrails
- Action logging and performance analytics dashboard
- Extensible tool framework for custom integrations

## Comparison with Similar Tools
- **AutoGPT** — CLI-first autonomous agent; SuperAGI adds a web management console
- **CrewAI** — code-first multi-agent framework; SuperAGI provides a GUI for non-developers
- **MetaGPT** — software-development focused; SuperAGI is a general autonomous agent platform
- **BabyAGI** — minimal single-file reference; SuperAGI is a full production platform
- **Dify** — workflow-based AI app builder; SuperAGI focuses on autonomous agent execution

## FAQ
**Q: What tools come pre-built?**
A: Web search, file read/write, GitHub, Slack, Jira, email, and image generation among others.

**Q: Can I run multiple agents at once?**
A: Yes. The scheduler manages concurrent agent execution with configurable resource limits.

**Q: Which LLMs are supported?**
A: OpenAI GPT models, Google PaLM, and any model accessible through an OpenAI-compatible API.

**Q: Is the web console required?**
A: No. Agents can also be created and run through the Python API programmatically.

## Sources
- https://github.com/TransformerOptimus/SuperAGI
- https://superagi.com

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Source: https://tokrepo.com/en/workflows/0cff6cf4-3e8c-11f1-9bc6-00163e2b0d79
Author: AI Open Source