FreeAct leverages a modular architecture to streamline the creation of AI agents. Developers define high-level objectives and configure the planning module to generate stepwise plans. The reasoning component evaluates plan feasibility, while the execution engine orchestrates API calls, database queries, and external tool interactions. Memory management tracks conversation context and historical data, allowing agents to make informed decisions. An environment registry simplifies the integration of custom tools and services, enabling dynamic adaptation. FreeAct supports multiple LLM backends and can be deployed on local servers or cloud environments. Its open-source nature and extensible design facilitate rapid prototyping of intelligent agents for research and production use cases.