LangChain

Build context-aware reasoning applications

★ 4.3

Framework for developing applications powered by language models. Chain LLMs together with tools, memory, and agents. The standard for LLM apps.

93K

GitHub Stars

supported

TypeScript

medium

Learning Curve

4.0

DX Score

Visit Website → Documentation GitHub

Pricing

Model

free

Free Tier

MIT licensed, fully open source

Paid

LangSmith for observability

Features

✓ LLM chains
✓ Agents and tools
✓ Memory systems
✓ RAG support
✓ Vector store integrations
✓ Document loaders
✓ Output parsers
✓ Callbacks and tracing
✓ LangGraph for workflows

Pros

+ Most popular LLM framework
+ Huge integration ecosystem
+ Active development
+ Great documentation
+ Strong community

Cons

- Abstraction can be heavy
- Frequent breaking changes
- Can be overkill for simple apps
- Performance overhead

Best For

startup enterprise

llm ai agents rag chains