agentleFS
Seeed-ProjectsSeeed-Projects/Seeed-Jetson-DevelopTool/skills/codex/jetson-resource-index/AGENTS.md

Seeed-Jetson-DevelopTool / jetson-resource-index

AGENTS.md57 starsChanged 4 months agoMITView on GitHub

Knowledge base index of Jetson software stack, modules, and resources — JetPack SDK, CUDA, TensorRT, DeepStream, TAO, Triton, Riva, Isaac, and Seeed reComputer module lineup with flash guides.

The file

We split this AGENTS.md into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    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
  1. Distinctive:

    All Jetson modules: https://developer.nvidia.com/embedded/jetson-modules

    line 57

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

Jetson Resource Index

This is a knowledge-base skill. Use it to direct users to NVIDIA Jetson software, hardware modules, and Seeed reComputer documentation.


Execution model

This skill is informational — no destructive commands. Match the user's question to the relevant resource section below.


Phase 1 — identify what the user needs

Determine the category:

  • Jetson software stack / SDK → Section A
  • Jetson hardware modules → Section B
  • Seeed reComputer flash guides → Section C
  • NVIDIA Jetson forums → Section D

[OK] when category is identified.


Section A — Jetson software stack

ComponentDescriptionLink
JetPack SDKComplete dev environment (CUDA-X, Linux kernel, drivers, flash tools)https://developer.nvidia.com/embedded/jetpack
Jetson LinuxL4T driver package, bootloader, kernelhttps://developer.nvidia.com/embedded/linux-tegra
Cloud-NativeContainer runtime for edgehttps://developer.nvidia.com/embedded/jetson-cloud-native
NVIDIA TAOTransfer learning toolkit for DL workflowshttps://developer.nvidia.com/tao
Pretrained ModelsReady-to-use AI modelshttps://developer.nvidia.com/tao-toolkit
Triton Inference ServerScalable multi-model inferencehttps://developer.nvidia.com/nvidia-triton-inference-server
NVIDIA RivaConversational AI SDK (speech, NLP)https://developer.nvidia.com/riva
DeepStream SDKStream analytics for video AIhttps://developer.nvidia.com/deepstream-sdk
NVIDIA IsaacRobotics SDK (ROS GEM + Isaac Sim)https://developer.nvidia.com/isaac-sdk

Full software overview: https://developer.nvidia.com/embedded/develop/software


Section B — Jetson modules used in reComputer

ModuleComputereComputer Products
Jetson Xavier NXUp to 21 TOPSJ2011, J2012
Jetson Nano0.5 TFLOPS (FP16), 128 CUDA coresJ1010, J1020

All Jetson modules: https://developer.nvidia.com/embedded/jetson-modules


Section C — Seeed reComputer flash guides

reComputer comes with 16 GB eMMC pre-installed with Ubuntu 18.04 LTS and JetPack 4.6. Re-flashing is only needed if you want to change the OS.


Section D — NVIDIA Jetson forums


Failure decision tree

SymptomAction
User needs a resource not listedCheck https://developer.nvidia.com/embedded/develop/software for the full catalog
Link is brokenSearch the NVIDIA developer site or Seeed wiki for updated URLs
User unsure which module they haveRun cat /proc/device-tree/model on the Jetson device

Reference files

  • references/source.body.md — Original Seeed wiki with full software stack diagrams and module images

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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.