Agentics: Memorizing Session Transcripts Isn't Useful
Summary
The article argues that memorizing and indexing session transcripts for AI agents yields little to no performance benefit in software engineering tasks. It explains that agents already distill relevant information, and that storing and crawling transcripts often wastes tokens and can degrade model quality, advocating for selective context and human-in-the-loop review instead.