kyrolabs/awesome-langchain

What it solves

The LangChain ecosystem grows quickly, and it's hard to keep track of the best tools, experimental projects, and language ports. This list solves that by gathering the essential resources in one place, so developers can discover what's available without hunting across GitHub and forums.

How it works

It's a community-maintained GitHub repository with a structured table of contents. The README curates links into sections: the core LangChain framework, non-official ports to other languages (Go, Ruby, Java, Dart, Haskell, Elixir, Rust), tools grouped by low-code builders, services, agents, templates, platforms, open-source projects (like knowledge management and chatbots), learning materials, and other LLM frameworks. Each entry links to the project's repository with a short description and star count. Contributions are welcome via pull requests, and a newsletter keeps subscribers updated.

Who it's for

Developers, researchers, and hobbyists who want to build with LangChain or explore its ecosystem. It helps anyone from beginners looking for examples to experienced engineers searching for specific integrations, templates, or agent frameworks.

Highlights

• Covers the official LangChain and LangChain.js frameworks
• Lists ports to Go, Ruby, Java, Dart, Haskell, Elixir, and Rust
• Includes low-code tools like Flowise, Langflow, and Flock
• Curates agent frameworks like CrewAI, GPT Researcher, and SuperAgent
• Features knowledge management tools like Quivr, DocsGPT, and Anything LLM
• Offers templates for Streamlit, Gradio, Vercel, and more
• Provides learning resources: notebooks, video playlists, and official docs
• Maintained by the community with a contribution guide