---
slug: "langchain"
name: "LangChain"
effect: "Provides one interface and a large integration library for models, embeddings, vector stores and tools"
category: "agent-framework"
tier: "standard"
url: "https://docs.langchain.com/oss/python/langchain/overview"
github: "langchain-ai/langchain"
pricing: "open-source"
license: "MIT"
tags: ["python", "integrations", "model-agnostic", "rag", "langchain"]
platforms: []
install_kind: "pip"
date_added: "2026-10-14"
rank: null
rising_score: 54
stars: 147843
star_velocity: 101.3
velocity_basis: "since creation"
created_at: "2022-10-17T02:58:36Z"
pushed_at: "2026-10-14T17:28:05Z"
signals_status: "ok"
signals_fetched_at: "2026-10-15T05:02:43.817Z"
page: "https://agenttooldrop.com/tools/langchain"
---

# LangChain

Provides one interface and a large integration library for models, embeddings, vector stores and tools

Category: Agent frameworks. Tier: standard (a well-known tool, listed for reference, not ranked). Pricing: Open source. License: MIT.

## Why you would want it

LangChain is a framework for building agents and LLM apps from interoperable components, with a large library of integrations for model providers, tools, vector stores and retrievers. Its standard model interface lets you swap models as you experiment without rebuilding the app. An equivalent JS/TS library, LangChain.js, is available, and it pairs with LangGraph for lower-level orchestration and LangSmith for evals and tracing.

## Best for

- Apps that need many model or data integrations
- Switching between model providers
- Prototyping LLM apps in Python or JS

## Use it when

You want ready-made integrations for models, vector stores and retrievers, and a single interface for switching providers.

## Skip it if

You need fine-grained control over agent flow and state; the README points to LangGraph for advanced customization and agent orchestration.

## Install

Install with pip:

```sh
pip install -U langchain
```

Source: https://docs.langchain.com/oss/python/langchain/install

## Live signals

Fetched 2026-10-15T05:02:43.817Z (status: ok).

- Repository: langchain-ai/langchain
- Repository created: 2022-10-17
- Stars: 147,843 (GitHub's count; it cannot be authenticated)
- Stars per day, since repo creation: 101.3 (an average over the repo's life, not a growth rate)
- Forks: 24,807
- Open issues and PRs: 645
- License (GitHub): MIT
- Last push: 2026-10-14
- Latest release: langchain-core==1.6.10 (2026-10-12)

## Links

- Website: https://docs.langchain.com/oss/python/langchain/overview
- GitHub: https://github.com/langchain-ai/langchain
- Install instructions verified at: https://docs.langchain.com/oss/python/langchain/install
- Source for this entry: https://github.com/langchain-ai/langchain#readme
- AgentToolDrop page: https://agenttooldrop.com/tools/langchain
- Full catalog (JSON): https://agenttooldrop.com/tools.json