Developer Frameworks & Infrastructure
LangChain
Framework for building LLM-powered applications
Open sourceRuns on your device
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Open Source
Free (open source)
Platforms
macOS - Windows - Linux
Self-hosted or local
Category
Developer Frameworks & Infrastructure
133 tools
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Last updated
Sep 23
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Build retrieval-augmented assistants
Wire loaders, splitters, vector stores, and retrievers into a chat pipeline that answers from your documents.
Pricing checked Sep 2026
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About LangChain
LangChain is the most widely adopted open-source framework for building LLM applications, in Python and JavaScript. It standardizes the plumbing: a common interface over model providers, prompt templates, output parsers, document loaders, vector store integrations, retrievers, and agent runtimes, so prototypes do not hard-wire a single vendor.
LangGraph, its companion library, models agents as stateful graphs with checkpoints, retries, and human-in-the-loop steps, which is how production agent workflows survive failures. LangSmith, a separate service, adds tracing, datasets, and evaluation so prompts and runs can be inspected and scored.
The frameworks are MIT licensed and free; LangSmith is priced per seat or by usage above a free developer tier. LangChain suits teams moving a prototype toward a product, though its abstractions churn quickly, upgrades can break code, and debugging is easier with LangSmith than without.
- Broadest integration catalog in LLM tooling
- LangGraph handles stateful, resumable agent workflows well
- Model-agnostic: swap providers through one interface
- Open source with fast-moving, active development
- APIs churn fast and upgrades can break working code
- Abstractions can hide what the model actually receives
- Debugging complex chains is harder than plain code
pip install langchain langchain-communityOpen source framework for building context-aware reasoning applications with language models.
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