Mem0vsLetta

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

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

FeatureMem0Letta
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree (open-source), hosted platform availableFree (open-source) + Cloud
GitHub Stars
More stars
25k
13k
PlatformsLinux, macOS, DockerLinux, macOS, Docker
Key Features
  • Long-term memory
  • User preferences
  • Multi-level memory
  • API
  • Self-improving
  • Long-term memory
  • Stateful agents
  • Tool use
  • Multi-model
  • Self-editing memory
Pros
  • + Drop-in memory for any AI agent
  • + Automatic relevance scoring
  • + Works with any LLM
  • + Both local and hosted options
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
Cons
  • Adds complexity to agent architecture
  • Hosted version has usage limits
  • Complex memory management
  • Performance overhead
  • Rebranding confusion
  • Still experimental
Tags
memoryagentspersonalizationopen-source
memorystatefulagentsopen-source

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