Audience
Agent teams, infra leads, applied AI engineers
Chris Royse field notes
AI Memory Without Hallucinations Is Mostly Boundaries
A memory system needs isolated stores, explicit provenance, query expansion, source reading, and refusal when the corpus does not answer.
Agents / Channel video / 6:48
Core idea
Memory is not more context. Memory is a bounded retrieval system that knows where evidence came from and when to stop.
Memory Systems
Watch on YouTube· 6:48
AI Memory Without Hallucinations Is Mostly Boundaries
Frontier model makers are already fighting context sprawl. The useful offer is cleaner evidence, not bigger prompts.
Watch videoOpen the full video on YouTubeWhat to take from it
The videos are raw build context. These notes translate them into the shortest useful frame for creators, companies, and AI lab readers.
Bigger context windows do not solve source discipline.
Corpus boundaries protect both privacy and accuracy.
No-answer behavior is a feature.
Continue this thread.
Related notes stay inside the same problem area first, then move to the next useful context.
Watch + read / 21:21
Context Engineering Starts With The Desired Output
Define the current state, define the target state, use memory to strengthen the path, then verify the connection.
Watch + read / 14:54
Stop Dumping Every Corpus Into One RAG Database
The swappable-brain pattern: isolated databases, provenance, cross-database search, and cleaner context for high-stakes work.
Watch + read / 14:41
Multi-Agent Search For Hard Research Questions
A multi-agent search workflow can explore large question spaces, collect evidence, and build research artifacts faster.
Make it concrete.
Send the audience, data type, target task, proof bar, and sharing limits.