AutoGPT

Open-source autonomous agent project with a visual builder and blocks

AI Agents & AutomationFree planOverseasβ˜…β˜…β˜…β˜†β˜† 3.0

What is AutoGPT?

AutoGPT is the open-source project that popularised autonomous agents in 2023 and has since grown into a platform with a low-code builder, a block-based workflow model and a marketplace of prebuilt agents. You assemble blocks that perform actions - call a model, browse, read files, send a message - and connect them into an agent that runs on a trigger. It can be used through the hosted platform or self-hosted, and the codebase remains the reference many developers read when learning how agent loops are actually implemented.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Low-code builder with connectable action blocks
  • Hosted platform plus self-hostable open-source codebase
  • Marketplace of prebuilt agents and integrations
  • Scheduled and event-based triggers available for agents
  • Support for multiple model providers, including local models
  • Python codebase available as a reference implementation

Pros & cons

Strengths

  • Open source with an active community behind it
  • Builder is far more approachable than the original CLI
  • Useful reference for understanding agent loops

Watch out for

  • Still less dependable than scripted automation
  • Self-hosting needs ongoing maintenance and updates
  • Early versions earned a reputation for loops, and reliability still varies

Best for & use cases

developers learning agents, open-source experimentation, task automation and prototypes

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FAQ

How is today's AutoGPT different?

The original was a command-line experiment. Current versions offer a visual block builder, hosting and a marketplace, so building an agent no longer requires editing a Python script.

Is it reliable enough to leave running?

Treat it as a supervised tool. Scheduled agents can work well on narrow tasks, but unbounded goals still tend to drift, so limits and checkpoints are worth setting.

Should I use the hosted version or self-host?

The hosted platform removes setup and maintenance. Self-hosting gives control and no usage fees, which suits teams with data constraints or spare engineering time.