CrewAIvsPortkey

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

CrewAI

AI Agent Frameworks

Framework for orchestrating role-based AI agent teams

Full review →Website ↗

Portkey

LLM APIs & Inference

AI gateway for reliable and fast LLM applications

Full review →Website ↗
FeatureCrewAIPortkey
CategoryAI Agent FrameworksLLM APIs & Inference
PricingFree + EnterpriseFree + Pro plans
GitHub Stars
✓ More stars
25k
6k
PlatformsmacOS, Linux, WindowsWeb, Docker
Key Features
  • ✓ Multi-agent collaboration
  • ✓ Role-based agents
  • ✓ Task delegation
  • ✓ Tool integration
  • ✓ Memory
  • ✓ Process types
  • ✓ AI gateway
  • ✓ Fallbacks
  • ✓ Load balancing
  • ✓ Caching
  • ✓ Observability
Pros
  • + Intuitive role-based agent design
  • + Built-in collaboration patterns
  • + Good documentation and examples
  • + Active development
  • + Simple Python API
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
Cons
  • − Less flexible than raw LangChain
  • − Relatively young framework
  • − Limited built-in tools
  • − Can be expensive with many agents
  • − Added infrastructure layer
  • − Learning curve
  • − Some features need Pro
  • − Latency overhead
Tags
open-sourcemulti-agentorchestrationpythonteams
gatewayreliabilityobservabilityapi

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