Auto-GPT

Free

By AI Bookmarks Editorial Team, Directory editors Last reviewed 2026-10-23

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Early open-source autonomous agent experiment, historically important but not a supported production tool.

Quick facts

Pricing	Free
Free tier	Yes — open source, but you pay for model calls
Platforms	Python, self-hosted
Developer	Significant Gravitas
Website	https://github.com/Significant-Gravitas/Auto-GPT

What Auto-GPT is

Auto-GPT was one of the first widely used open-source projects to let a language model run in a loop toward a goal. You give it an objective, and it plans steps, calls tools, writes files and evaluates its own progress, iterating without a human in each turn. Its significance is historical: it demonstrated the agent pattern that later products industrialised, and it produced a large ecosystem of forks and plugins. As a tool today it is better understood as a reference implementation than a product — setup requires API keys and Python, reliability drops on long tasks, cost is unbounded because the loop decides how many calls to make, and there is no support or safety layer. For production use, a maintained agent platform is the practical choice. Running it safely means sandboxing file access and setting a hard spend cap, because the loop has no inherent limit.

Best for

Understanding how autonomous agent loops work
Research and teaching about agent design
Experimenting with a self-hosted agent

Not ideal for

Production workflows needing support and guardrails
Anyone without Python experience and API keys

Pros

Open source and fully inspectable
Illustrates the agent loop clearly
Large body of forks and writing around it

Cons

No support, and maintenance has slowed
Cost is unbounded because the loop decides the calls
Reliability drops as tasks get longer

Pricing in detail

The project itself is free and open source. The real cost is model usage: every step is an API call, and because the agent decides how many steps to take, a single run can consume far more than a chat message. Running it locally requires your own key, so budgeting means setting a hard spend limit at the provider rather than estimating per task.