# LangChain

> Framework for building LLM-powered applications

A widely used framework with integrations for hundreds of models, vector stores and tools, plus building blocks for chains and agents.

- Source: https://github.com/langchain-ai/langchain
- Homepage: https://docs.langchain.com/langchain/
- License: MIT
- Language: Python
- Stars: 147391
- Forks: 24685
- Contributors: 3996
- Last commit: 2026-10-02
- Latest release: langchain-core==1.6.6 (2026-09-29)
- Purpose: AI & LLM tooling, Agents & frameworks
- Runs on: Library / SDK
- For: Enterprise

## Worth score: 83/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 25/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 15/15
- Readiness: 8/15

## Alternatives

- [Browser Use](https://diggithub.com/browser-use/browser-use.md): Let AI agents use a web browser
- [LlamaIndex](https://diggithub.com/run-llama/llama_index.md): Data framework for LLM applications and agents
- [gpt-researcher](https://diggithub.com/assafelovic/gpt-researcher.md): Autonomous deep research agent for web and local documents
- [TradingAgents](https://diggithub.com/TauricResearch/TradingAgents.md): Multi-agent LLM framework for financial trading research
- [Mem0](https://diggithub.com/mem0ai/mem0.md): Memory layer for AI agents
- [Pi](https://diggithub.com/earendil-works/pi.md): Minimal agent toolkit and coding agent CLI
- [DSPy](https://diggithub.com/stanfordnlp/dspy.md): Program language models instead of prompting them
- [Hindsight](https://diggithub.com/vectorize-io/hindsight.md): Agent memory that learns

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Source page: https://diggithub.com/langchain-ai/langchain
Updated: 2026-10-03