Updated апрель 2026 г.
Best Multi-Agent Framework for Hierarchical workflows
Hierarchical workflows put a supervisor agent in charge of delegating, reviewing, and composing the work of specialised workers. This is the right shape when the task has clear ownership boundaries and the supervisor needs to enforce a contract on the output. LangGraph, Google ADK, and CrewAI all support hierarchical orchestration; LangGraph and Google ADK lead on auditability.
Top 3 picks for hierarchical workflows
- #1LangGraph
×1.0 overhead
- #2Google Agent Development Kit
×1.2 overhead
- #3CrewAI
×1.3 overhead
Best fit inputs
Roles 5-10, state long-term, HITL configurable, observability compliance-grade.
Typical use cases
- →Customer-support triage with a planner agent dispatching to billing, technical, and refund specialists.
- →Research workflows where a coordinator delegates literature search, data extraction, and synthesis.
- →Code-generation pipelines with a planner, generator, and reviewer trio.
Pitfalls
- !Supervisor prompts grow unwieldy — extract them into versioned templates from day one.
- !Worker agents can drift from contract; type-check or schema-validate every handoff.
- !Supervisor becomes a single point of failure; instrument retries and idempotent workers.
FAQ
How is hierarchical different from sequential?
Sequential is a fixed chain. Hierarchical has a supervisor that decides which workers to invoke and in what order based on intermediate state.
Can workers call other workers?
In strict hierarchical, no — only the supervisor delegates. If workers need to talk, you have an adaptive workflow.
How deep can the hierarchy go?
Two levels (supervisor + workers) is the sweet spot. Three levels is doable but adds significant latency and cost.
Which framework has the cleanest supervisor primitive?
LangGraph supervisor patterns and Google ADK's hierarchical sub-agents are both first-class and well documented.
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