Freeact – A Lightweight Library for Code-Action Based Agents
Hello! We just released freeact (https://github.com/gradion-ai/freeact), a lightweight agent library that empowers language models to act as autonomous agents through executable code actions. 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…
What it does
In the maker’s words, at launch
Hello! We just released freeact (https://github.com/gradion-ai/freeact), a lightweight agent library that empowers language models to act as autonomous agents through executable code actions. 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!
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