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smolagents vs Letta

smolagentsLetta

Bottom line: smolagents for developers wanting minimal frameworks; Letta for teams that need persistent agent memory.

smolagentssmolagents

A barebones open-source library for agents that think in code

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LettaLetta

Stateful AI agents with long-term memory (formerly MemGPT).

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Votes00
PricingFreeFreemium
CategoryAgent FrameworksAgent Frameworks
Tags
ai-agentsopen-sourcecode-agentshugging-facepython
agentsmemoryopen-sourcestateful-agentsllm-framework
Best for
  • Developers wanting minimal frameworks
  • Researchers prototyping agents
  • Hugging Face ecosystem users
  • Teams that need persistent agent memory
  • Builders of long-running assistants
  • Researchers exploring stateful agents
Pros
  • Extremely small, readable codebase
  • Code-first agent actions
  • Model-agnostic via LiteLLM and Hub
  • Free and fully open source
  • Hugging Face Hub sharing
  • Purpose-built for the agent memory problem
  • Strong research pedigree (MemGPT paper)
  • OS-style tiered memory persists across sessions
  • Open-source core, free to self-host
  • Managed Letta Cloud with free and paid tiers
Cons
  • Minimalism means fewer built-in features
  • No managed hosting or dashboard
  • Limited enterprise tooling
  • Code execution requires sandboxing care
  • Smaller feature set than large frameworks
  • Narrower than general agent frameworks
  • Often used alongside other tooling, not a full stack
  • Renamed from MemGPT, some older docs use old name
  • Cloud pricing and tiers still evolving
  • Python-focused

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