Multi‑Agent Systems

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Frameworks · ReferenceFramework

CrewAI

Role-based 'Crews' of agents; flat abstraction over team-shaped workflows.

Scenario Content creation, automated reportsLicense Open source (MIT)
01

Suitability

Best for

Fast prototyping of role-based team workflows with built-in layered memory.

Watch out

High abstraction makes internal state hard to debug ('black box').

02

Architecture & integrations

Role-based agents ('Crew') with layered memory (ChromaDB, SQLite, vector embeddings); ideal for automation and quick setup. Business processes, fast prototyping, team-building metaphor.

03

Technical profile

Approach
Role-based ('Crew'), task- and process-oriented.
Control & learning curve
Flat. High abstraction; easy for teams; hard to debug ('black box').
Performance
High execution speed. Little boilerplate overhead.
04

Pattern support

Sequential PipelineSupervisor
NativeComposable / supportingColor = ladder level L1–L4
Native patterns: Sequential, Hierarchical, Flows
Read on

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Modular, hierarchical workflow agents for the Vertex AI ecosystem.

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MetaGPT

SOP-based multi-agent metaprogramming that simulates an IT company.

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