Verified project record

kyrolabs/awesome-langchain

awesome-langchain is a curated, categorized directory that helps developers navigate the ecosystem of tools, agents, templates, platforms, and tutorials built around the LangChain framework. It organizes community and learning resources into a single browsable list rather than functioning as an executable application.

Project overview

As the LangChain ecosystem grows, discovering reliable tools and learning materials becomes a real bottleneck; awesome-langchain addresses this by maintaining a structured, awesome.re-featured directory that consolidates ports, agents, templates, and tutorials in one place.

Project type: AI Agent
Deployment: Refer to project documentation
License: CC0-1.0

Best for

Developers, AI engineers, and researchers who want a curated, categorized starting point for discovering LangChain tools, agents, templates, and learning materials.

Key capabilities

Maintains a categorized list of LangChain ports, tools, agents, templates, and projects.
Catalogs tutorials, notebooks, and video playlists for learning LangChain.

Limitations and risks

Acts primarily as a static directory rather than an executable application or library.
The list includes an 'Unmaintained' section, indicating that some links may be dead or point to deprecated projects.

Getting started

Visit the awesome-langchain README and browse the categorized list; no coding is required to read the documentation.

Evidence and sources

README: Curated list of tools and projects using LangChain. LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is a…
README: Awesome LangChain [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) ![GitHub Repo stars](https://img.shields.io/github/stars/kyrolabs/awesome-langchain?style=social)
README: - [🦜🔗 Awesome LangChain ](#-awesome-langchain--) - [Table of Contents](#table-of-contents) - [LangChain Framework](#langchain-framework) - [Ports to other languages](#ports-to-oth…
README: - [Langchain Tutorials](https://github.com/gkamradt/langchain-tutorials): overview and tutorial of the LangChain Library

Reviewed at: 2026-07-19T04:13:52Z