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Letta vs AutoGen

LettaAutoGen

Bottom line: Letta for teams that need persistent agent memory; AutoGen for teams already running AutoGen in production.

LettaLetta

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

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AutoGenAutoGen

Microsoft's multi-agent conversation framework (now in maintenance mode).

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Votes00
PricingFreemiumFree
CategoryAgent FrameworksAgent Frameworks
Tags
agentsmemoryopen-sourcestateful-agentsllm-framework
agentsmulti-agentopen-sourcemicrosoftorchestration
Best for
  • Teams that need persistent agent memory
  • Builders of long-running assistants
  • Researchers exploring stateful agents
  • Teams already running AutoGen in production
  • Researchers studying multi-agent systems
  • Developers prototyping agent collaboration
Pros
  • 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
  • Pioneered accessible multi-agent conversation patterns
  • Free and open source
  • Backed by Microsoft Research with strong documentation
  • 0.4 architecture is asynchronous and more observable
  • Works with many model providers
Cons
  • 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
  • In maintenance mode as of 2026, no new feature focus
  • Microsoft steers new projects to the Agent Framework
  • Multiple version lines (0.2 vs 0.4/0.7) cause confusion
  • Multi-agent loops can be hard to control and cost-predict
  • Less enterprise tooling than the successor framework

Comparison generated from each tool's listing. Add or remove tools above to change it.