Fay is an artificial intelligence framework designed to build autonomous agents capable of managing both interactive virtual personas and automated financial trading operations. The platform integrates large language models with specialized modules to coordinate complex tasks, enabling the synchronization of speech and movement for digital avatars alongside the execution of market-based financial strategies.
The system distinguishes itself through an event-driven orchestration model that routes signals between perception, decision-making, and action-execution components. It utilizes a modular plugin architecture and a unified interface layer to connect with heterogeneous third-party services, including rendering engines for character animation and external exchanges for financial data.
The framework supports a broad range of operational capabilities, including state-machine task management, schema-based data validation, and asynchronous message handling. These features ensure structural integrity and consistent behavior during long-running automated processes. The project is implemented in Python and provides the necessary interfaces to link language models with external audio and visual processing systems.
