Extend OpenClaw for a local-first AI assistant across Arm platforms
Introduction
Understand the architecture and local data boundaries
Prepare the DGX Spark host and local services
Configure and start the OpenClaw runtime on DGX Spark
Validate memory persistence and routing with Telegram and Qdrant
Validate document RAG, web search, and proactive tasks
(Optional) Port the app to a CPU-only Armv9 system
Next Steps
Extend OpenClaw for a local-first AI assistant across Arm platforms
Introduction
Understand the architecture and local data boundaries
Prepare the DGX Spark host and local services
Configure and start the OpenClaw runtime on DGX Spark
Validate memory persistence and routing with Telegram and Qdrant
Validate document RAG, web search, and proactive tasks
(Optional) Port the app to a CPU-only Armv9 system
Next Steps
Share
Bring your insights to the conversation.
Give Feedback
How would you rate this Learning Path?
What is the primary reason for your feedback ?
Thank you! We're grateful for your feedback.
- Have more feedback? Log an issue on GitHub.
- Want to collaborate? Join our Discord server.
Continue Learning
Read related resources
Find more information about the topics in this Learning Path:
Join the Arm Developer Program
Connect, upskill, and build with the Arm Developer Community. Join today for hands-on technical resources and education materials, along with the support of Arm engineers and the broader ecosystem.