By enabling agents to express their actions directly in code rather than through constrained formats like JSON, freeact provides a flexible and powerful approach to solving complex, open-ended problems that require dynamic solution paths.

* Supports dynamic installation and utilization of Python packages at runtime

* Agents learn from feedback and store successful code actions as reusable skills in long-term memory

* Skills can be interactively developed and refined in collaboration with freeact agents

* Agents compose skills and any other Python modules to build increasingly sophisticated capabilities

* Code actions are executed in ipybox (https://github.com/gradion-ai/ipybox), a secure Docker + IPython sandbox that runs locally or remotely

GitHub repo: https://github.com/gradion-ai/freeact

Evaluation: https://gradion-ai.github.io/freeact/evaluation/

See it in action: https://github.com/user-attachments/assets/83cec179-54dc-456...

We'd love to hear your feedback!