# AgentGPT — Autonomous AI Agent in Your Browser

> AgentGPT lets you deploy autonomous AI agents directly in a web browser. Give it a goal and it will create tasks, execute them, and iterate until the objective is reached.

## Install

Save in your project root:

# AgentGPT — Autonomous AI Agent in Your Browser

## Quick Use
```bash
git clone https://github.com/reworkd/AgentGPT.git
cd AgentGPT
./setup.sh
# Open http://localhost:3000 in your browser
```

## Introduction
AgentGPT is a browser-based platform for assembling and deploying autonomous AI agents. Unlike CLI-only agent tools, it provides a polished web UI where users define a goal in natural language and watch the agent decompose it into tasks, execute each step, and refine results in a loop.

## What AgentGPT Does
- Accepts a high-level goal and autonomously breaks it into subtasks
- Executes tasks sequentially, feeding outputs from one step into the next
- Runs entirely in the browser with a React frontend and Next.js backend
- Supports multiple LLM providers including OpenAI and open-source models
- Allows saving, sharing, and replaying agent runs

## Architecture Overview
AgentGPT follows a Next.js full-stack architecture. The frontend presents a chat-like interface where agents stream their reasoning. The backend orchestrates a task loop: it sends the current goal and completed steps to the LLM, parses the response into new tasks, and continues until the agent determines the goal is met or a maximum iteration count is reached. Prisma handles database persistence for user sessions and saved agents.

## Self-Hosting & Configuration
- Clone the repo and run the setup script, which provisions Docker containers for the app, database, and backend
- Set OPENAI_API_KEY in the .env file for the default provider
- Configure NEXT_PUBLIC_BACKEND_URL if hosting the backend on a separate machine
- PostgreSQL is used for persistence; connection details go in DATABASE_URL
- Optional: connect alternative LLM endpoints by updating the provider configuration

## Key Features
- No-code agent creation through a clean web interface
- Real-time task streaming shows agent reasoning as it works
- Agent templates for common goals like research, coding, and analysis
- Session persistence lets you pause and resume agent runs
- Open-source and self-hostable with full control over data

## Comparison with Similar Tools
- **AutoGPT** — CLI-first with plugin ecosystem; steeper setup curve
- **BabyAGI** — minimal task-driven agent; no built-in UI
- **CrewAI** — focuses on multi-agent role orchestration rather than single-agent loops
- **SuperAGI** — more infrastructure-heavy with marketplace; heavier deployment

## FAQ
**Q: Which LLMs does AgentGPT support?**
A: It supports OpenAI models by default. You can configure alternative providers by modifying the backend LLM configuration.

**Q: Is there a hosted version?**
A: The project previously offered a hosted demo at agentgpt.reworkd.ai. Check the repository README for current availability.

**Q: How do I limit agent iterations?**
A: Set the maximum loop count in the settings panel or via the MAX_LOOPS environment variable to prevent runaway execution.

**Q: Can agents access the internet?**
A: Agents can use web search tools when configured, but by default they rely on the LLM's knowledge without live browsing.

## Sources
- https://github.com/reworkd/AgentGPT
- https://docs.reworkd.ai/

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Source: https://tokrepo.com/en/workflows/76372082-3fda-11f1-9bc6-00163e2b0d79
Author: AI Open Source