Intel / article

Building a Memory-Driven Agent with NVIDIA NemoClaw

Source: developer.nvidia.com
Author: Tanya Lenz
Date: Published Sep 4, 2026

Context

NVIDIA's NemoClaw example gives a workplace assistant an editable memory of projects, people and priorities. It keeps that interpretation in readable Markdown files, while a separate database records obligations and the 's decisions. Users can correct those decisions and inspect the preferences learned from repeated corrections. This makes a mistaken priority something the user can trace and change. The design walkthrough explains the separation.

The published recipe uses invented workplace messages and recorded model decisions for its offline demonstration. It does not send messages or change workplace systems. Its contribution is a concrete memory-and-correction design that developers can examine before connecting real accounts.

Terms in this piece · Glossary

AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.

Read the source developer.nvidia.com