Lár v1.0.0 is an open-source framework designed to build deterministic and auditable AI agents, addressing the challenges of debugging opaque systems. Unlike existing tools, Lár offers transparency through auditable logs that provide a detailed JSON record of an agent's operations, allowing developers to understand and trust the process. Key features include easy local support with minimal changes, IDE-friendly setup, standardized core patterns for common agent flows, and an integration builder for seamless tool creation. The framework is air-gap ready, ensuring security for enterprise deployments, and remains simple with its node and router-based architecture. This matters because it empowers developers to create reliable AI systems with greater transparency and security.
