awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
A community-maintained directory of tools, projects, and learning resources built around LangChain, the framework for connecting AI language models to external data and services. Regularly updated so you don't have to search yourself.
This repository is a community-curated list of tools, services, and projects built around LangChain, a framework for connecting large language models to external data sources and services. Think of it as a directory that someone updates regularly so developers do not have to go hunting for resources themselves.
The list starts with pointers to LangChain itself, including its JavaScript sibling and the official documentation and blog. It then covers unofficial ports of the framework to other programming languages: Go, Ruby, Java, Dart, Haskell, Elixir, and Rust are all represented, each maintained by independent developers outside the core LangChain team.
A tools section breaks resources into subcategories. Low-code options like Flowise and Langflow let users build AI workflows by dragging and dropping components rather than writing code. Services in the list cover things like caching language model responses, loading data from various sources, evaluating question-answering quality, and deploying AI apps into messaging platforms like Slack or WeChat. Separate sections cover agent frameworks and hosted platforms where people can run LangChain-powered applications.
The open-source projects section highlights knowledge management tools and chatbots built on top of LangChain. A learn section collects Jupyter notebooks and video playlists for people who want to understand how the framework works. There is also a section for other LLM frameworks that sit outside the LangChain ecosystem but serve related purposes. The list accepts contributions via pull requests and maintains a newsletter for periodic summaries of additions.
The full README is longer than what was shown.
Where it fits
- Find a low-code tool like Flowise to build an AI chatbot workflow without writing code.
- Discover LangChain ports in Go, Ruby, Java, or other languages if you work outside Python.
- Browse community notebooks and video playlists to learn how LangChain works.
- Find hosted platforms and caching services for deploying and optimizing your LangChain app.