langchain-ai/agents-from-scratch resource
Build an email assistant with human-in-the-loop and memory observed · 2026-08-28
Health v2 · maintenance only
63/100
- Activity 97
- Release rhythm 35
- Longevity 37
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 520
- days_rel: n/a
- days_push: 22
- n_releases_24m: 0
Adoption not part of the score
2156 stars · 423 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A tutorial repository and companion course from LangChain Academy that teaches how to build AI agents from scratch using LangGraph, culminating in an email-managing 'ambient' agent connected to the Gmail API. It is organized into four progressive sections covering agent basics, evaluation, human-in-the-loop interaction, and memory, with notebooks and accompanying Python source code.
Use cases
- learn how to build AI agents with LangGraph from scratch
- build an email assistant agent that triages and manages Gmail
- add human-in-the-loop approval to agent workflows
- implement long-term memory in LLM agents
- evaluate agent performance with LangSmith
- learn agent deployment patterns
- understand the difference between agents and workflows
When to choose
- you want a structured, hands-on tutorial for learning LangGraph and agent patterns
- you are building an email or other 'ambient' agent with human oversight and memory
- you prefer learning through notebooks paired with production-style source code
- you want free course material from the LangChain team
When to avoid
- you need a production-ready email automation tool rather than educational material
- you want a framework or library to depend on rather than example code
- you are not willing to use OpenAI and LangSmith API keys
- you need agent features beyond the scope of the tutorial without adapting the code yourself
Facets
learning-resource · maturity active
agent-framework machine-learning llm-inference rag artificial-intelligence large-language-models education tutorials python cross-platform langgraph langchain langsmith email-assistant human-in-the-loop agent-memory jupyter-notebooks ambient-agents course-material ai-agents automation
5 sources
- readme: https://github.com/langchain-ai/agents-from-scratch · fetched 2026-08-28 · 46672b55e21c
- homepage: https://academy.langchain.com/courses/ambient-agents · fetched 2026-08-29 · 127bd2897a44
- site_page: https://docs.langchain.com/ · fetched 2026-08-29 · e6cbe67a291c
- site_page: https://www.langchain.com/about · fetched 2026-08-29 · b85a33f40436
- site_page: https://changelog.langchain.com/ · fetched 2026-08-29 · 3c5994039295
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| langchain-ai/agents-from-scratch | main | 63 |
For agents
markdown · JSON · MCP: product_card(name="langchain-ai/agents-from-scratch")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem