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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

Budget

Use case

Stage

Cluster

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools integrates with
LangGraph
vs
LangChain

Choose LangGraph when…

  • •You need stateful, graph-based agent control flow
  • •Complex branching or retry logic is required
  • •You're building production agents that need observability

Choose LangChain when…

  • •You want a broad, flexible LLM orchestration toolkit
  • •You need integrations with many tools and data sources
  • •You're prototyping or exploring LLM app patterns
Field
LangGraph
LangChain
Category
Agent Frameworks
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 8,000
⭐ 93,000
Health
●80 — Active
●85 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

LangGraph

Build stateful multi-actor applications as directed graphs. Part of the LangChain ecosystem. Strong for complex agentic workflows.

LangChain

Most widely used framework for building LLM applications. Chains, agents, RAG pipelines, and deep integrations with 300+ tools.

LangGraph Website ↗GitHub ↗
LangChain Website ↗GitHub ↗

Shared Connections (7)

CrewAILangSmithLiteLLMLlamaIndexLangfuseQdrantpgvector

Only LangGraph (18)

CursorLangChainE2BClaude CodeSweep AIGoogle Agent Development KitLettaControlFlow

Only LangChain (22)

OpenHandsAutoGenLangGraphSemantic KernelChromaPineconeWeaviateRAGAS
See full comparison in Explore →