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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-31 | 2781 |
| 2026-08-01 | 2781 |
| 2026-08-02 | 2785 |
| 2026-08-03 | 2786 |
| 2026-08-04 | 2787 |
| 2026-08-05 | 2790 |
| 2026-08-06 | 2790 |
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Momentum
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growth rate 0.00%/day
.svg) ## Introduction Welcome to LangChain Academy, Introduction to LangGraph! This is a growing set of modules focused on foundational concepts within the LangChain ecosystem. Module 0 is basic setup and Modules 1 - 5 focus on building in LangGraph, progressively adding more advanced themes. Module 6 addresses deploying your agents. In each module folder, you'll see a set of notebooks. A link to the LangChain Academy lesson is at the top of each notebook to guide you through the topic. Each module also has a `studio` subdirectory, with a set of relevant graphs that we will explore using the LangGraph API and Studio. ## Setup ### Python version Make sure you're using Python version 3.11, 3.12, or 3.13. ``` python3 --version ``` ### Clone repo ``` git clone https://github.com/langchain-ai/langchain-academy.git $ cd langchain-academy ``` Or, if you prefer, you can download a zip file [here](https://github.com/langchain-ai/langchain-academy/archive/refs/heads/main.zip). ### Create an environment and install dependencies #### Mac/Linux/WSL ``` $ python3 -m venv lc-academy-env $ source lc-academy-env/bin/activate $ pip install -r requirements.txt ``` #### Windows Powershell ``` PS> python3 -m venv lc-academy-env PS> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope Process PS> .\lc-academy-env\Scripts\Activate.ps1 PS> pip install -r requirements.txt ``` ### Running notebooks If you don't have Jupyter set up, follow the installation instructions [here](https://jupyter.org/install). ``` $ jupyter notebook ``` ### Setting up env variables Briefly going over how to set up environment variables. #### Mac/Linux/WSL ``` $ export API_ENV_VAR="your-api-key-here" ``` #### Windows Powershell ``` PS> $env:API_ENV_VAR = "your-api-key-here" ``` ### Set OpenAI API key * If you don't have an OpenAI API key, you can sign up [here](https://openai.com/index/openai-api/). * Set `OPENAI_API_KEY` in your environment ### Sign up and Set LangSmith API * Sign up for LangSmith [here](https://docs.langchain.com/langsmith/create-account-api-key#create-an-account-and-api-key), find out more about LangSmith and how to use it within your workflow [here](https://www.langchain.com/langsmith). * Set `LANGSMITH_API_KEY`, `LANGSMITH_TRACING_V2="true"` `LANGSMITH_PROJECT="langchain-academy"`in your environment * If you are on the EU instance also set `LANGSMITH_ENDPOINT`="https://eu.api.smith.langchain.com" as well. ### Set up Tavily API for web search * Tavily Search API is a search engine optimized for LLMs and RAG, aimed at efficient, quick, and persistent search results. * You can sign up for an API key [here](https://tavily.com/). It's easy to sign up and offers a very generous free tier. Some lessons (in Module 4) will use Tavily. * Set `TAVILY_API_KEY` in your environment. ### Set up Studio * Studio is a custom IDE for viewing and testing agents. * Studio can be run locally and opened in your browser on Mac, Windows, and Linux. * See documentation [here](https://docs.langchain.com/langsmith/studio#local-development-server) on the local Studio development server. * Graphs for LangGraph Studio are in the `module-x/studio/` folders for module 1-5. * To start the local development server, make sure your virtual environment is active and run the following command in your terminal in the `/studio` directory in each module: ``` langgraph dev ``` You should see the following output: ``` - 🚀 API: http://127.0.0.1:2024 - 🎨 Studio UI: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024 - 📚 API Docs: http://127.0.0.1:2024/docs ``` Open your browser and navigate to the Studio UI: `https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024`. * To use Studio, you will need to create a .env file with the relevant API keys * Run this from the command line to create these files for module 1
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Lance Martin
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William FH · LangChain
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Harrison Chase
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John Kennedy · @langchain-ai
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Mason Daugherty · United States
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Marco Perini
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M Rehan Ul Haq · Panaversity · Pakistan
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victor capriles hinojosa · HP.inc · Spain
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Seán
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f7233fe78e4a8102, llm:Repository name 'langchain-academy' under org 'langchain-ai' suggests educational/tutorial content for LangChain. Language: Jupyter Notebook. No topics or README provided, but likely learning resources about LangChain (agents, RAG, embeddings, prompts).
matched fp:f7233fe78e4a8102, llm:Repository name 'langchain-academy' under org 'langchain-ai' suggests educational/tutorial content for LangChain. Language: Jupyter Notebook. No topics or README provided, but likely learning resources about LangChain (agents, RAG, embeddings, prompts).
matched fp:f7233fe78e4a8102, llm:Repository name 'langchain-academy' under org 'langchain-ai' suggests educational/tutorial content for LangChain. Language: Jupyter Notebook. No topics or README provided, but likely learning resources about LangChain (agents, RAG, embeddings, prompts).
matched fp:f7233fe78e4a8102, llm:Repository name 'langchain-academy' under org 'langchain-ai' suggests educational/tutorial content for LangChain. Language: Jupyter Notebook. No topics or README provided, but likely learning resources about LangChain (agents, RAG, embeddings, prompts).
