AI AGENT FRAMEWORKS
Head-to-Head Comparison

MetaGPT vs CrewAI

Quick answer: MetaGPT leads this head-to-head in 2026, scoring 90 on the Hyland Score against CrewAI's 89. It scores higher on the Hyland Score (90 vs 89). CrewAI remains a strong alternative — the gap is narrow, so evaluate both against your workload.

HIGHER SCORE

MetaGPT

DeepWisdom
90HYLAND SCORE

Multi-agent framework that simulates a software company with product managers, architects, and engineers coll…

Try MetaGPT

CrewAI

CrewAI Inc
89HYLAND SCORE

Role-based multi-agent framework where agents have specific roles, goals, and backstories.

Try CrewAI

Spec-by-spec

SPEC
METAGPT
CREWAI
Hyland Score
90
89
Category
Multi-Agent
Multi-Agent
Pricing
Open Source
Open Source
Open source
Yes
Yes
Self-hostable
Yes
Yes
Languages
Python
Python
GitHub stars
45K
24K
Open source
Yes
Yes
Self-hostable
Yes
Yes
Free tier
Yes
Yes

MetaGPT: strengths & weaknesses

  • Higher Hyland Score (90 vs 89)
  • Open Source pricing lowers the cost of getting started

CrewAI: strengths & weaknesses

  • Open Source pricing lowers the cost of getting started
  • Lower Hyland Score (89 vs 90)
The Verdict

Choose MetaGPT for most teams

MetaGPT comes out ahead because it scores higher on the Hyland Score (90 vs 89).

CrewAI remains a strong alternative — the gap is narrow, so evaluate both against your workload.

MetaGPT vs CrewAI: FAQ

Which is better, MetaGPT or CrewAI?

Based on the Hyland Score, MetaGPT leads with 90 vs 89, because it scores higher on the Hyland Score (90 vs 89). However, CrewAI remains a strong alternative — the gap is narrow, so evaluate both against your workload.

Is MetaGPT free to use?

MetaGPT uses a Open Source pricing model. It is open source. It can be self-hosted.

Is CrewAI free to use?

CrewAI uses a Open Source pricing model. It is open source. It can be self-hosted.

Can I use MetaGPT and CrewAI together?

Yes — many teams combine them. MetaGPT strengths: python, coding, data analysis. CrewAI strengths: python, research, automation. Evaluate both against your actual workload before standardizing on one.

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