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123 tools · 10 stacks
GitHub

AI tools are all over the place. This is the full landscape — 123 tools across 12 categories, mapped and connected. Ready to narrow it down? Build your stack →

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?
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These tools integrates with
Anthropic API
vs
LangChain

Choose Anthropic API when…

  • •You need long context windows (200k tokens)
  • •Safety, reliability, and reasoning quality matter most
  • •You're building agents that require deep code understanding

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
Anthropic API
LangChain
Category
LLM Infrastructure
Pipelines & RAG
Type
SaaS
OSS
Free Tier
✗ No
✓ Yes
Plans
API: Per token
—
Stars
—
⭐ 93,000

Anthropic API

API access to Claude model family including Claude 3.5 Sonnet, Haiku, and Opus. Excels at coding, analysis, long-context tasks, and safety-critical applications.

LangChain

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

Anthropic API Website ↗
LangChain Website ↗GitHub ↗

Shared Connections (7)

CrewAIAutoGenLlamaIndexLiteLLMPortKeyOpenAI APIVercel AI SDK

Only Anthropic API (8)

LangChainMastraPydanticAIsmolagentsAgnoHeliconeMistral APIStainless

Only LangChain (17)

OpenHandsLangGraphSemantic KernelLangSmithQdrantChromaPineconeWeaviate
See full comparison in Explore →