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Jetson AGX Orin📖
01.Get started
  • 01.Learning Route
  • 02.Getting Started Quickly
02.Jetson basic course
  • 01.Jetson board introduction
  • 02.Flash new system to the onboard eMMC
  • 03.Flash new system to an NVMe SSD
  • 04.Install Jetpack environment
  • 05.Backup SSD system
  • 06.Restore factory image system
  • 07.SSD expansion
  • 08.Solid State Drive Speed Test
03.Basic setting course
  • 01.Basic knowledge
  • 02.Network configuration
  • 03.SSH remote login
  • 04.VNC remote control
  • 05.Remote file transfer
  • 06.Jtop tool
  • 07.Exchange space expansion
  • 08.Use VSCode
  • 09.Use VMware
  • 10. Change screen resolution
  • 11. Virtual Desktop
  • 12. Set root user password
  • 13. Configure sudo passwordless operation
  • 14. Managing custom services
  • 15. View system version information
04.GPIO control course
  • 01.GPIO description
  • 02.GPIO library installation
  • 03.GPIO reading
  • 04.GPIO output
  • 05.Serial communication
  • 06.I2C communication
05.OpenCV basic course
  • 01.Image reading
  • 02.Image saving
  • 03.Image modification
  • 04.Image scaling
  • 05.Image cropping
  • 06.Image translation
  • 07.Image mirroring
  • 08.Image grayscale conversion
  • 09.Image binarization
  • 10.Image edge detection
  • 11.Add line segments
  • 12.Add rectangles
  • 13.Add circular shape
  • 14.Add ellipses
  • 15.Add polygons
  • 16.Add Text
06.Vision basic course
  • 01.USB camera preview
  • 02.Use Jupyter Lab
  • 03.Use JetCam
07.Vision advanced course
01.Environment construction
  • 01.TensorFlow
  • 02.PyTorch
  • 03.Torchvision
02.DeepStream development
  • 01.DeepStream environment
  • 02.Four types of detection(traffic)
03.YOLO11 development
  • 01.YOLO environment construction
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented object detection
  • 08.Model conversion
  • 09.Dataset annotation
  • 10.Model training conversion
  • 11.Model prediction
04.Mediapipe development
  • 01.Mediapipe environment
  • 02.Hand detection
  • 03.Face detection
  • 04.Face effects
  • 05.3D object recognition
  • 06.Virtual brush
  • 07.Gesture recognition
  • 08.Finger control
  • 09.Posture estimation
  • 10.Face mask
  • 11.Overall detection
  • 12.Green scene removal(Human)
05.QR code recognition
  • 01.Barcode Recognition
  • 02.QR Code Recognition
  • 03.Machine Code Recognition
  • 04.Handwritten Digit Recognition
06.YOLO26 development
  • 01.YOLO Environment Setupnew
  • 02.CLI Usagenew
  • 03.Object Detectionnew
  • 04.Instance Segmentationnew
  • 05.Pose Estimationnew
  • 06.Image Classificationnew
  • 07.Oriented Bounding Boxes Object Detectionnew
  • 08.Model Conversionnew
  • 09.Dataset Annotationnew
  • 10.Model Training_Conversionnew
  • 11.Model Predictionnew
08.Docker basic course
  • 01.Docker introduction
  • 02.Docker installation
  • 03.Docker command
  • 04.Docker usage
  • 05.Docker interaction
09.ROS2-Humble
01.ROS2 basic course
  • 3.ROS2 development environment
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
02.ROS2 vision course
  • 01.Camera preview (USB)
  • 02.Camera calibration (USB)
  • 03.AR vision (USB)
10.Offline AI model course
Offline large model (Text Interaction)
  • 10.AI large model offline voice assistant
  • 1.Al large model environment deployment
  • 2.Install large model dialogue platform
  • 3.Meta Al Llama3.2 model
  • 4.Alibaba Cloud Qwen3 model
  • 5.Microsoft Phi-4-mini model
  • 6.DeepSeek DeepSeek-R1 model
  • 7.Alibaba Cloud Qwen2.5v visual multimodal large model
  • 8.Google Gemma3 visual multimodal large model
  • 9.Lava visual multimodal large model
  • 10.MiniCPM-V visual multimodal large model
  • 11.Multimodal visual understand application
  • 12.Multimodal text image application
  • 13.Multimodal video analysis application
  • 14.Multi module visual position application
  • 15.Multimodal table scanning application
  • 16.Multimodal autonomous agent application
Offline large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Offline speech to text (ASR)
  • 2.Offline text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multimodal text and graphics application
  • 6.Multimodal video analysis application
  • 7.Multi module visual position application
  • 8.Multimodal table scanning application
  • 9.Multimodal autonomous proxy application
11.Online AI model course
Online large model (Text Interaction)
  • 8.AI large model offline voice assistant
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal visual understand application
  • 3.Multimodal visual localization application
  • 4.Multimodal table scanning application
  • 5.Multimodal autonomous proxy application
Online large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Online speech to text (ASR)
  • 2.Online text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multi module visual position application
  • 6.Multimodal table scanning application
  • 7.Multimodal autonomous proxy application
12.Offline Generative AI Applications
  • 01.Children's Storytelling Session
  • 02.Cooking Assistant
  • 03.Homework tutor
  • 04.Image to animation
13.OpenClaw Advanced Development
  • 00.OpenClaw Quick Start on Jetson Platform
  • 01.OpenClaw Installation
  • 02.OpenClaw Online Platform Deployment
  • 03.OpenClaw Local Model Deployment
  • 04.OpenClaw TUI Interaction
  • 05.OpenClaw WebChat Interaction
  • 06.OpenClaw Tools Introduction
  • 07.OpenClawGate Gateway User Manual
  • 08.OpenClaw Features Overview
  • 09.OpenClawClawHub Introduction (Skill Installation)
  • 10. OpenClaw Switching Models
  • 11.OpenClaw Application - File Management
  • 12.OpenClaw Application - Camera
  • 13.OpenClaw Application - Browser Control
  • 14.OpenClaw Application - Script Execution
  • 15.OpenClaw Application - AI Programming
  • 16.OpenClaw Application - Dedicated AI Assistant
  • 17.OpenClaw WhatsApp Plugin Application
Download
  • System_File
  • VM_File
  • Code
  • Tools
Download ZIP

Welcome to Jetson AGX Orin repository

当製品の日本語版マニュアル資料は、こちらからご取得ください。

02.OpenClaw Online Platform Deployment

OpenClaw Online Platform Deployment

OpenClaw Online Platform Deployment1. Registering on an Online Model Platform2. Configuring OpenClaw3. Enabling Tools

1. Registering on an Online Model Platform

OpenClaw supports many online large language model platforms. The registration method varies depending on the model. Here, we take the Deepseek model as an example. Open your browser and visit DeepSeek Open Platform, register and log in to your account, and follow the instructions to authorize and obtain an API Key. Models require payment; please recharge before use.

https://platform.deepseek.com/sign_in

Click 【API keys】-> 【Create new API Key】.

image-20260324142550896

Enter a name, and then click 【Create API key】.

image-20260324143026781

After creation, you must copy the API key. It's best to save it in a notepad, as you'll need it when filling in the API key later.

image-20260324142922311

Click "Top up". If you haven't completed real-name authentication yet, you need to authenticate first before topping up.

image-20260324143123294

Click [Docs] to navigate to the DeepSeek API documentation.

image-20260324144158244

image-20260324144505531

 

2. Configuring OpenClaw

Open your terminal and execute the OpenClaw configuration command:

xxxxxxxxxx
openclaw onboard  --install-daemon

You must select [Yes] to proceed with the configuration process. Press [Enter] to proceed to the next step.

image-20260324104320651

Select [QuickStart] to begin the quick setup.

image-20260324104338392

On the model selection screen, select the specific model platform you wish to use. This step is mandatory; otherwise, you will not be able to interact with the system properly. Taking the DeepSeek model as an example, you need to select [Custom Provider].

image-20260324143911294

Set the API Base URL to:

xxxxxxxxxx
https://api.deepseek.com

image-20260324144705185

Select [Paste API Key now] and enter the API Key you generated on DeepSeek.

image-20260324144800229

Select [OpenAI-compatible].

image-20260324144903431

For the [Model ID], enter:

xxxxxxxxxx
deepseek-chat

image-20260324145112213

For the [Endpoint ID], enter:

xxxxxxxxxx
DeepSeek Chat (V3.2)

image-20260324145724185

Model For the "alias" (optional) field, simply leave it blank; press Enter to skip it.

image-20260324150052595

Skip the "Message Channels" section for now; you can configure this later.

image-20260324150135833

Skip the "Search provider" section as well.

image-20260324150209610

Skip "Skills" too; you can install these later as needed.

image-20260324150239072

Skip "Hooks" as well. Select "Skip for now" by pressing the Spacebar, then press Enter to confirm.

image-20260324150302391

If you are using a factory image, the gateway is already installed; you will need to select "[Reinstall]" to reinstall the gateway.

image-20260324152229686

Wait for the gateway to finish installing and starting up.

image-20260324150536634

You can choose the "TUI" interface (Terminal User Interface) or the "Web UI" (Web-based User Interface). In this example, we will proceed using the TUI. image-20260324150650174

Upon entering the TUI, you will be presented with an interactive interface where you can input your queries or commands.

image-20260324150821667

If you wish to exit, press CTRL+D to leave the TUI interactive interface.

 

3. Enabling Tools

The default tools attribute in OpenClaw is set to coding; this must be changed to full in order to enable and utilize the tools.

Open a terminal and edit the openclaw.json configuration file.

xxxxxxxxxx
gedit ~/.openclaw/openclaw.json

Search for [tools] and modify the content within the tools section to match the following:

x
"tools": {
    "profile": "full",
    "sessions": {
      "visibility": "all"
    }
  },

image-20260324151322559

DeepSeek features a context window size of 128K; therefore, locate the contextWindow setting and change its value to 128000. After making the modification, press CTRL+S to save (alternatively, click the "Save" button in the top-right corner), and then exit the editor.

image-20260324152819026

Restart the OpenClaw gateway service.

xxxxxxxxxx
openclaw gateway restart

image-20260324152937532

Once the above steps are completed, you will be able to use the tools normally.

OpenClaw Installation
OpenClaw Local Model Deployment

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