LangChain
agent-framework138,734MIT

LangChain

Framework for developing LLM-powered applications with composable chains, agents, and 500+ integrations.

Updated Jun 7, 2026
Platforms
linux, macos, windows
Pricing
free-tier
Status
active
License
MIT

What it does

Core capabilities at a glance

  • Composable chain and agent abstractions
  • 500+ integrations with models, vector stores, tools
  • LangGraph for stateful multi-agent workflows
  • LangSmith for debugging and monitoring
  • Streaming and async support
  • RAG pipelines and document retrieval chains

Deep dive

The full breakdown - performance, comparisons, and setup

LangChain

LangChain is the foundational framework for building applications on top of LLMs. It's not always the most elegant tool, but it has the largest ecosystem, the most integrations, and the biggest community.

What it is

LangChain is a Python and JavaScript framework that provides abstractions for working with LLMs. Its core concepts - chains, agents, retrievers, tools, and memory - have become the standard vocabulary of LLM application development.

Performance you'll see

LangChain itself has no inference cost. It's an orchestration layer. The overhead per chain invocation is ~50-100ms in Python, negligible for most use cases.

How it stacks up

LangChainHaystackSemantic KernelMastra
Ecosystem sizeLargestMediumMediumSmall
Language supportPython, JSPythonC#, Python, JavaTypeScript
Agent support✓ (LangGraph)
Learning curveSteepModerateModerateLow
Best forMaximum flexibilityProduction RAGMicrosoft ecosystemTypeScript devs

Get started

pip install langchain langchain-community langchain-ollama
from langchain_ollama import ChatOllama
llm = ChatOllama(model="qwen3:30b")
result = llm.invoke("Hello!")

When to use something else

  • Visual builder: Flowise or Langflow
  • Production RAG: Haystack has better pipeline abstractions
  • TypeScript ecosystem: Mastra or Vercel AI SDK
  • Multi-agent orchestration: CrewAI

Frequently asked

Quick answers to common questions

What is LangChain?

LangChain is a agent-framework tool for local AI workloads. Framework for developing LLM-powered applications with composable chains, agents, and 500+ integrations.

Is LangChain free and open source?

Yes, LangChain has 138,734 GitHub stars and is licensed under MIT. You can self-host it for free on linux, macos, windows.

What platforms does LangChain support?

LangChain runs on linux, macos, windows.

What hardware do I need for LangChain?

The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. LangChain has 138,734 GitHub stars and an active community.

Does LangChain support GPU acceleration?

LangChain supports GPU acceleration via CUDA, Metal, or Vulkan depending on your platform. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.

What are the best alternatives to LangChain?

Popular alternatives include other agent-framework tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.

How much does LangChain cost?

LangChain is free-tier. There is a free tier available with paid upgrades for advanced features.

Pairs well with

Complementary tools, models, and hardware

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