The BeeAI Framework is an open-source project for building reliable AI agents that combine autonomy with control. Current agent frameworks focus primarily on prompting and orchestration, leaving critical questions of predictability and safety unaddressed. BeeAI fills this gap with a lightweight framework that enables developers to build agents whose reasoning abilities are preserved while execution is constrained by declarative, rule-based requirements. At the core of the framework is the RequirementAgent, a novel agent design that enforces deterministic, controlled behaviors across heterogeneous language models. With RequirementAgent, developers can ensure consistent and reliable execution patterns regardless of differences in model reasoning, tool-calling abilities, or stochastic variation. This approach provides practitioners with a unified abstraction layer that simplifies the deployment of complex AI systems into production settings. As an incubating Linux Foundation AI project, BeeAI is gaining adoption in open source and enterprise contexts as organizations seek robust ways to operationalize AI agents at scale. At NeurIPS EXPO, we will showcase BeeAI’s architecture, real-world use cases, and lessons learned from applying declarative control to agent autonomy.