LettavsFlowise

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

Full review →Website ↗

Flowise

Automation Platforms

Drag-and-drop LLM flow builder

Full review →Website ↗
FeatureLettaFlowise
CategoryAI Agent FrameworksAutomation Platforms
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
13k
✓ More stars
35k
PlatformsLinux, macOS, DockermacOS, Linux, Windows, Docker
Key Features
  • ✓ Long-term memory
  • ✓ Stateful agents
  • ✓ Tool use
  • ✓ Multi-model
  • ✓ Self-editing memory
  • ✓ Visual flow builder
  • ✓ LangChain integration
  • ✓ Chatbot builder
  • ✓ Agent flows
  • ✓ API endpoints
  • ✓ Custom tools
Pros
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
  • + No-code visual builder
  • + LangChain/LlamaIndex integration
  • + Easy deployment
  • + Good for prototyping
  • + Active community
Cons
  • − Complex memory management
  • − Performance overhead
  • − Rebranding confusion
  • − Still experimental
  • − Limited for complex custom logic
  • − Can be buggy with some nodes
  • − Documentation gaps
  • − Less flexible than code
Tags
memorystatefulagentsopen-source
open-sourceno-codelangchainchatbotvisual

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