AutoGPT: Build AI Agents That Actually Do Work For You
Deploy autonomous AI agents that can break down complex tasks into executable steps, perfect for founders looking to automate research, analysis, and problem-solving. 185k+ GitHub stars.
184,712 stars46,194 forksPythonUpdated 6/2/2026100% free Β· open source
What it does
AutoGPT breaks down complex tasks into executable steps, allowing founders to automate research, analysis, and problem-solving
When to use it
β’When you need to automate repetitive research tasks
β’When you want to analyze large amounts of data without manual effort
β’When you're facing a complex problem that requires step-by-step breakdown
Quick start
1Run `python setup.py` to prepare the environment
2Create a new Python file (e.g., `my_agent.py`) and import the AutoGPT library
3Define your agent's task using the `AutoGPT` class, as seen in the `example.py` file
4Configure the agent's parameters, such as the `prompt` and `max_tokens`, in the `config.json` file
5Run your agent using `python my_agent.py`
Ready-to-paste prompt
Create an agent that writes a business plan for a new startup: `python example.py --prompt 'Write a business plan for a startup that combines AI and sustainability'`
Topics
agentic-ai
agents
ai
artificial-intelligence
autonomous-agents
claude
gpt
llama-api
llm
openai
python
Quick Actions
Details
Creator
Significant-Gravitas
Language
Python
Category
claude-skill
Published
3/16/2023
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