The open-source agent that chains LLM tasks to achieve a goal autonomously. The project that started the agent wave.
Auto-GPT is the open-source experiment that showed the world LLMs could chain their own tasks toward a goal. Set an objective and it plans, acts, and self-corrects — browsing the web, writing files, and running code. It's more of a research landmark than a polished product, but it's where the modern agent ecosystem began.
Who it's for: Builders, tinkerers, and engineers exploring autonomous agents and agent architectures.
Set an objective; Auto-GPT plans, acts, and self-corrects using an LLM.
Browser, file, and shell access so the agent can search, write, and run code.
Vector memory lets the agent recall context across long-running tasks.
Run locally with your own key; forks like AgentGPT add a web UI.
Auto-GPT is required reading for anyone building agents, but in 2026 you'll likely ship on something more reliable. Use it to learn how autonomous loops work — then graduate to GPT-Pilot or Manus for anything you actually depend on.