Swarm is a framework for building conversational systems that coordinate multi-agent workflows. It functions as an orchestration engine that manages persistent, multi-turn dialogues by routing tasks between specialized agents and executing local functions. The system is designed to handle complex, multi-step processes by maintaining shared state and context across agent interactions.
The framework distinguishes itself through its approach to dynamic task delegation and execution control. It enables agents to hand off tasks to one another by returning agent objects, allowing for modular, domain-specific handling of user requests. The runtime manages these transitions through a synchronous execution loop that resolves structured function calls and maintains persistent variables, ensuring that session context remains consistent as control shifts between agents.
Beyond core orchestration, the system provides capabilities for integrating external tools and data sources to inform agent responses. It supports real-time visibility into multi-agent workflows through incremental stream processing, which emits updates and control signals as tasks are executed. The framework also includes tools for monitoring and validating agent decision-making performance through automated testing of conversation inputs.
