crewai-multi-agent

Build coordinated multi-agent workflows by defining explicit agent roles, task context, and optional tools, then executing them sequentially or hierarchically with tracing and memory support. This allows complex work to be split into specialized roles like researchers, writers, or analysts.

Automate sequential research and writing pipelines by connecting specialized agents in order, allowing task handoffs for drafting, reviewing, and producing final deliverables. CrewAI sequential execution manages this process with short-term and long-term memory support.

Yes, hierarchical delegation allows a manager agent to distribute work across a specialized team. You define the manager and worker roles with distinct goals, and the manager delegates tasks dynamically across the team to complete multi-step workflows.

Multi-agent orchestration supports integrating web, file, database, and external integration tools. Agents utilize these tools alongside entity memory to share context and complete complex production automation tasks more reliably than a single model call.

Use a multi-agent workflow when complex automation requires specialized roles, shared context, and sequential or hierarchical task pipelines. If a task needs distinct researchers, analysts, and writers with memory-enabled collaboration, multi-agent orchestration is the right approach.