CrewAIvsLetta

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 ↗

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

Full review →Website ↗
FeatureCrewAILetta
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree + EnterpriseFree (open-source) + Cloud
GitHub Stars
✓ More stars
25k
13k
PlatformsmacOS, Linux, WindowsLinux, macOS, Docker
Key Features
  • ✓ Multi-agent collaboration
  • ✓ Role-based agents
  • ✓ Task delegation
  • ✓ Tool integration
  • ✓ Memory
  • ✓ Process types
  • ✓ Long-term memory
  • ✓ Stateful agents
  • ✓ Tool use
  • ✓ Multi-model
  • ✓ Self-editing memory
Pros
  • + Intuitive role-based agent design
  • + Built-in collaboration patterns
  • + Good documentation and examples
  • + Active development
  • + Simple Python API
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
Cons
  • − Less flexible than raw LangChain
  • − Relatively young framework
  • − Limited built-in tools
  • − Can be expensive with many agents
  • − Complex memory management
  • − Performance overhead
  • − Rebranding confusion
  • − Still experimental
Tags
open-sourcemulti-agentorchestrationpythonteams
memorystatefulagentsopen-source

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