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LangChain — composing models, tools, and retrieval for LLM applications

Discovery score 352.0OSS health 100
About these scores

Discovery score is an unbounded weighted, log-compressed index of stars, watchers, forks, and contributors. Growth momentum is its change over the observed period; OSS health is a 0–100 score from available repository recency, Community Health, and release data.

Stars
146,205
Primary language
Python
License
MIT
Repository last updated
Sep 12, 2026

Overview

LangChain is a Python framework that combines models, embeddings, vector stores, retrievers, and tools through shared interfaces. Applications can grow from a direct model call into agents that use external data and actions.

Based on official documentation; not hands-on tested · Content checked:

What it controls

The README quickstart begins with common model initialization and invocation, using provider interoperability as an entry point. The wider ecosystem separates responsibilities: LangGraph for controllable workflows, Deep Agents for higher-level agents, and LangSmith for evaluation, debugging, and deployment.

Sources: [1]

Where it fits

It is a candidate when a project needs to compare providers, compose RAG and tool calls, or replace integrations without rewriting every boundary. It works best when teams use the abstraction for rapid composition while retaining lower-level control where behavior matters.

Sources: [1]

Boundaries to review

An abstraction reduces integration differences but does not remove provider limits, cost, authentication, or failure modes. LangChain core, LangGraph, Deep Agents, LangSmith, and the JavaScript library have distinct roles and packages. Map required orchestration and observability to the correct component before adopting the stack.

Sources: [1]

Official sources

  1. [1]LangChain README(2026-09-12)
Supplemental curator note

Selected for using a coined brand and a broad ecosystem to capture fast-changing provider, RAG, and agent search intent.

Growth trends

Last 30 days

146,205 Stars

Trend data is still being collected.

Built with

  • Python

Categories and tags

Categories

Tags

GitHub Topics

  • ai
  • anthropic
  • gemini
  • langchain
  • llm
  • openai
  • python
  • agents
  • ai-agents
  • chatgpt
  • enterprise
  • framework
GitHub dataView detailed GitHub data
View on GitHub
Stars
146,205
Forks
24,431
Watchers
920
Open issues
397
Contributors
467
Primary language
Python
License
MIT
Repository last updated
Sep 12, 2026
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