Mem0vsCrewAI

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

Mem0

AI Agent Frameworks

Memory layer for AI agents — persistent, searchable, context-aware

Full review →Website ↗

CrewAI

AI Agent Frameworks

Framework for orchestrating role-based AI agent teams

Full review →Website ↗
FeatureMem0CrewAI
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree (open-source), hosted platform availableFree + Enterprise
GitHub Stars
25k
25k
PlatformsLinux, macOS, DockermacOS, Linux, Windows
Key Features
  • ✓ Long-term memory
  • ✓ User preferences
  • ✓ Multi-level memory
  • ✓ API
  • ✓ Self-improving
  • ✓ Multi-agent collaboration
  • ✓ Role-based agents
  • ✓ Task delegation
  • ✓ Tool integration
  • ✓ Memory
  • ✓ Process types
Pros
  • + Drop-in memory for any AI agent
  • + Automatic relevance scoring
  • + Works with any LLM
  • + Both local and hosted options
  • + Intuitive role-based agent design
  • + Built-in collaboration patterns
  • + Good documentation and examples
  • + Active development
  • + Simple Python API
Cons
  • − Adds complexity to agent architecture
  • − Hosted version has usage limits
  • − Less flexible than raw LangChain
  • − Relatively young framework
  • − Limited built-in tools
  • − Can be expensive with many agents
Tags
memoryagentspersonalizationopen-source
open-sourcemulti-agentorchestrationpythonteams

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