crewai-multi-agent

Multi-agent orchestration coordinates specialized agents with role-based goals and memory to execute complex tasks. By assigning roles and backstories, agents collaborate autonomously to solve hierarchical workflows using short-term, long-term, and entity memory.

Autonomous crews manage specialized agents collaborating continuously, while event-driven flows trigger agent actions based on specific events. This dual paradigm allows frameworks to handle both steady collaborative tasks and reactive, triggered processes.

No, you can build production-ready multi-agent workflows without LangChain dependencies for a lean, fast execution footprint. This standalone approach provides robust memory, tracing, and enterprise features while maintaining a lightweight architecture.

Install the crewai framework, define two agents with specific roles, goals, and backstories, then kickoff the crew. This initiates autonomous collaboration, allowing the specialized agents to work together on the assigned tasks.

Yes, multi-agent orchestration supports both sequential and hierarchical task execution for production workflows. It coordinates specialized agents with memory to ensure complex, role-based processes execute in the correct order.