# langchain-ai/langchain-academy

Repository: https://github.com/langchain-ai/langchain-academy
Canonical: https://ross.abutalabs.com/products/langchain-academy
Homepage: https://academy.langchain.com
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2026-06-15T16:01:24+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 87, release rhythm 35, longevity 55
- inputs: {"age_days": 771, "days_push": 79, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2832, forks 1841 (observed 2026-08-28T04:07:24.429573+00:00)

## What it is
LangChain Academy's official set of Jupyter Notebook modules teaching foundational concepts of the LangChain ecosystem, with a focus on building agents in LangGraph and deploying them. Each module pairs notebooks with online lessons and LangGraph Studio graphs.

## Use cases
- learn langgraph from scratch
- course on building llm agents
- tutorial notebooks for langchain ecosystem
- learn to deploy agents with langgraph
- hands-on exercises for agent state, memory, and human-in-the-loop
- practice building multi-agent workflows in python

## When to choose
- you want structured, self-paced notebooks to learn LangGraph and LangChain agent patterns
- you prefer hands-on code exercises paired with guided lessons
- you want official, up-to-date curriculum maintained by the LangChain team

## When to avoid
- you need production agent code to copy into an application rather than educational material
- you want framework-agnostic LLM tutorials not tied to LangChain products
- you need a runnable library or tool rather than course content

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, llm-inference, rag, developer-tools
- domain: large-language-models, tutorials, education, developer-tools
- platform: python, cross-platform, cli
- tags: langgraph, langchain, jupyter-notebooks, agents, langsmith, course-materials, llm-agents, ai-agents

## Member repositories
- langchain-ai/langchain-academy (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:24.429573+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:38:08.553707+00:00, confidence not recorded.
  - readme: https://github.com/langchain-ai/langchain-academy (fetched 2026-08-28T04:07:24.429573+00:00, sha 398271b7d2fb)
  - homepage: https://academy.langchain.com (fetched 2026-08-29T09:53:25.630541+00:00, sha 35ee443b743a)
  - site_page: https://docs.langchain.com/ (fetched 2026-08-29T09:53:25.639799+00:00, sha e6cbe67a291c)
  - site_page: https://academy.langchain.com/collections/quickstart (fetched 2026-08-29T09:53:25.641737+00:00, sha 265c43649ce0)
  - site_page: https://academy.langchain.com/courses/quickstart-langsmith-essentials (fetched 2026-08-29T09:53:25.643527+00:00, sha 0bf7d7cf5723)
  - site_page: https://www.langchain.com/about (fetched 2026-08-29T09:53:25.653250+00:00, sha b85a33f40436)
  - site_page: https://changelog.langchain.com/ (fetched 2026-08-29T09:53:25.645560+00:00, sha 3c5994039295)
- Data as of 2026-08-30T08:39:29.467469+00:00.