LettavsSmolagents

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

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

Smolagents

AI Agent Frameworks

Hugging Face's lightweight library for building agents

FeatureLettaSmolagents
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree (open-source) + CloudFree (open-source)
GitHub Stars
13k
More stars
15k
PlatformsLinux, macOS, DockerLinux, macOS, Windows
Key Features
  • Long-term memory
  • Stateful agents
  • Tool use
  • Multi-model
  • Self-editing memory
  • Code agents
  • Tool calling
  • Multi-model
  • Lightweight
  • Hub integration
Pros
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
  • + Lightweight and simple
  • + Code-agent approach
  • + Hugging Face integration
  • + Well-documented
  • + Active development
Cons
  • Complex memory management
  • Performance overhead
  • Rebranding confusion
  • Still experimental
  • Fewer features than LangChain
  • Newer library
  • Limited tool ecosystem
  • Python-centric
Tags
memorystatefulagentsopen-source
agentshuggingfacelightweightpython

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