The project that made autonomous agents a mainstream idea.
AutoGPT takes a goal and runs its own loop — plan, act, observe, revise — using tools and file storage to make progress without prompting at each step. It has since grown into a platform with a visual builder for agent workflows, but the original loop remains the clearest demonstration of both the promise and the failure modes of full autonomy.
An agent that writes code, runs it, and fixes what breaks.
Visual builder for agents and RAG flows, deployable as an API.
Fair-code workflow automation with AI steps built in.
Track the experiments, register the models, ship the good one.
Fine-tuning driven entirely by a YAML config.
Fine-tune a hundred different models from one interface.
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