LangChainvsLetta

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

LangChain

AI Agent Frameworks

Framework for building applications with large language models

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

FeatureLangChainLetta
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree + LangSmith paidFree (open-source) + Cloud
GitHub Stars
More stars
98k
13k
PlatformsmacOS, Linux, WindowsLinux, macOS, Docker
Key Features
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
  • Long-term memory
  • Stateful agents
  • Tool use
  • Multi-model
  • Self-editing memory
Pros
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
Cons
  • Can be overly complex for simple tasks
  • Frequent breaking changes
  • Abstraction overhead
  • Steep learning curve
  • Complex memory management
  • Performance overhead
  • Rebranding confusion
  • Still experimental
Tags
open-sourceframeworkpythonjavascriptragchains
memorystatefulagentsopen-source

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