NVIDIANVIDIA-Certified Professional: Agentic AI2026-101.4 Manage short-term and long-term memory for context retention.
Automatic Memory Wrapper for NeMo Agent Toolkit Agents
Completed by opening the official lab
Why it matters
Memory that depends on the model remembering to call a tool is captured inconsistently. Memory that the runtime captures has to be scoped to a user, or it leaks between users.
What to practise
Configure an auto_memory_agent workflow that wraps a ReAct agent through inner_agent_name and memory_name, with Zep or Mem0 as the backend. Toggle the flags that save user messages, retrieve memory before every response, and save agent replies, and tune search_params and add_params. Run it with nat run --user_id and --conversation_id, and watch that memory operations fail closed when no identity is resolved. Read why a trusted identity_header is safe only behind an authenticating proxy.
How it fits
The wrapper routes conversation history into a long-term store; compare that choice with the store roles in 1.4.1. The user and conversation scoping, and the identity-header trust boundary, are 1.4.2’s authenticated memory scopes.