What It Is
Each agent has its own role, instructions, and tools, such as planner, researcher, coder, or reviewer. An orchestration layer decides which agent acts next and how results combine. This division of work mirrors how human teams operate, with each member focused on what they do best.
Key Points
- Frameworks: LangGraph and CrewAI support loops, branching, and shared memory.
- Quality: narrow agents are easier to test, and reviewers catch errors.
- Cost: additional model calls increase spend.
- Risk: agents can amplify each other’s mistakes.
Why It Matters
Teams need tracing so humans can see how a conclusion was reached. Without visibility into each agent’s decisions, errors are hard to diagnose, so logging and review points should be designed in from the beginning.
How ClearLeaff Applies It
We build multi-agent pipelines with LangGraph, CrewAI, and Claude Sonnet for autonomous decision workflows, adding monitoring, guardrails, and clear escalation points.