LangflowvsLetta

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

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

FeatureLangflowLetta
CategoryAutomation PlatformsAI Agent Frameworks
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
More stars
35k
13k
PlatformsLinux, macOS, Windows, Docker, WebLinux, macOS, Docker
Key Features
  • Visual builder
  • Drag-and-drop
  • Component library
  • API export
  • Multi-model
  • Long-term memory
  • Stateful agents
  • Tool use
  • Multi-model
  • Self-editing memory
Pros
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
Cons
  • Tied to LangChain ecosystem
  • Limited for very custom logic
  • Can be slow for complex flows
  • Still maturing
  • Complex memory management
  • Performance overhead
  • Rebranding confusion
  • Still experimental
Tags
no-codevisuallangchainopen-source
memorystatefulagentsopen-source

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