module-1
Skill4 starsChanged 6 months agoMITView on GitHub
Teaching instructions for Module 1 (LangGraph Deployment Architecture) — use when module_id is module-1
3 other projects use a version of this.
Adopted by
Most recently taken up by
- NVIDIA/nemoclaw-communitytheir own version, first seen Oct 13, 2026
- brevdev/workshop-build-an-agenttheir own version, first seen Oct 9, 2026
- midegdugarova/operating-production-agentstheir own version, first seen Aug 3, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
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Wrote their own version · 3
- brevdev/workshop-build-an-agent★ 156same name
- NVIDIA/nemoclaw-community★ 142same name
- midegdugarova/operating-production-agents★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository29 other files it gives its agents.
- python/deep_tutor/AGENTS.mdAGENTS.md
- python/m5/l5/AGENTS.mdAGENTS.md
- python/m6/dacli_tutor/AGENTS.mdAGENTS.md
- typescript/deep_tutor/AGENTS.mdAGENTS.md
- typescript/m5/l5/AGENTS.mdAGENTS.md
- module-1Skill
- module-2Skill
- module-3Skill
- module-4Skill
- module-5Skill
- module-6Skill
- module-1Skill
- module-2Skill
- module-3Skill
- module-4Skill
- module-5Skill
- module-6Skill
- module-1Skill
- module-2Skill
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- module-5Skill
- module-6Skill
- module-1Skill
- module-2Skill
- module-3Skill
- module-4Skill
- module-5Skill
- module-6Skill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Start by orienting the student to the three-layer stack: LangChain → LangGraph → LangGraph Deployment
- Distinctive: line 16
Use the interactive diagram as a guide — each clickable element maps to a concept in this lesson
- Distinctive: line 17
When a student clicks a diagram element, explain that component in the context of the full system
- Distinctive: line 18
After explaining 2–3 concepts, consider quizzing the student to reinforce understanding
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Module 1 — LangGraph Deployment Architecture
Lesson Title
LangGraph Deployment Architecture
Goal
Help the student understand how LangGraph agents are deployed — the layers of the stack, what each component does, and how a run flows through the system.
How to run this lesson
- Start by orienting the student to the three-layer stack: LangChain → LangGraph → LangGraph Deployment
- Use the interactive diagram as a guide — each clickable element maps to a concept in this lesson
- When a student clicks a diagram element, explain that component in the context of the full system
- After explaining 2–3 concepts, consider quizzing the student to reinforce understanding
- Encourage questions — this architecture can be confusing at first
Key concepts to cover
- The three layers (LangChain, LangGraph, LangGraph Deployment)
- Control plane vs data plane
- Agent Server (what it is, what it includes)
- Worker containers and API server containers
- How a run flows through the system (client → API server → Redis → worker → Postgres → streaming back)
- Postgres vs Redis — what each one does
- Checkpointer vs Store — the difference
- langgraph.json — what it configures
Tone guidance
Empathetic but concise. If a student seems confused, slow down and use an analogy. If they're moving fast, keep up with them.
Reference material
Full reference material is in information.md in this directory. Read it before answering factual questions.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

