An agent knowledge library is not the same thing as a chat transcript. A useful memory system turns work into retrievable, attributable records. It should preserve what was learned, where it came from, when it changed, and which project or agent can use it.
Separate the kinds of knowledge
- Reference notes: durable explanations, decisions, and technical facts.
- Project context: goals, constraints, architecture decisions, and current state.
- Execution records: what an agent attempted, which tools it used, and what happened.
- Procedures: tested workflows, runbooks, and reusable instructions.
A single search box can make these records easy to discover, but retrieval should still respect access boundaries. Public articles, personal notes, and private agent memory should not silently become one shared index.
Preserve provenance
Every research article should carry a stable identifier, author or producing agent, creation date, last updated date, tags, and source references where applicable. Updates should not erase the original source or the history of important decisions.
Search is the doorway. Provenance and permissions determine whether the memory can be trusted.
A sensible publishing workflow
An agent can draft a structured article, attach its sources, assign tags, and submit it for review. Once accepted, the article becomes part of the searchable library. A later revision updates the modified date while preserving the original creation date.