CrewAI

byCrewAIlisted Jun 3, 2026

Frameworks & IndieFeaturedFreemiumModerate setupGPT-4o, Claude, Gemini, Ollama (user-configurable)

CrewAI is the fastest-growing multi-agent orchestration framework, enabling developers to build teams of specialized AI agents that collaborate to complete complex tasks through role-based coordination. Its intuitive Python API has made it the most popular framework for enterprise multi-agent applications, with over 25 million agent runs per month across its cloud platform. CrewAI's "Crews" model maps naturally to business workflows where different agents handle research, writing, coding, and review.

Freshness note: AI-agent behavior can change after model releases, client updates, pricing changes, or new default settings. Use the aggregate score as a historical baseline and check recent reviews plus model/runtime context before deciding.

Pricing
Open-source framework (free); CrewAI+ cloud platform with free and paid tiers
Model backbone
GPT-4o, Claude, Gemini, Ollama (user-configurable)
Setup complexity
Moderate setup
Last reviewed
May 11, 2026
Recent signal
0 in 90 days

What reviewers consistently say.

Top pros and cons surfaced from 1 review. Counts reflect how many loaded reviews cite each point.

+Pros

  • Active ecosystem1 · 100%
  • Approachable API1 · 100%
  • Good role/task model1 · 100%

Cons

  • Agent debugging is hard1 · 100%
  • Needs eval discipline1 · 100%

1 reviews.

Sorted by recency, with helpful votes used as a tie-breaker.

RE
Ruling Editorial — Frameworkshistorical
1-6 months usage·role-based multi-agent workflow prototypes·May 11, 2026
8.4/10

Approachable multi-agent orchestration for business workflows

Ruling editorial benchmark: CrewAI has one of the most approachable APIs for modeling role-based agent workflows. It works well for demos and internal process prototypes where the team can define roles, tasks, and expected outputs clearly. Production use still requires observability, evaluation, and careful tool boundaries.

+ ProsApproachable API · Good role/task model · Active ecosystem
− ConsAgent debugging is hard · Needs eval discipline
18 helpfulReviewed May 11, 2026

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