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[ARTICLE · art-40709] src=pub.towardsai.net ↗ pub= topic=ai-agents verified=true sentiment=· neutral

How to Build a Memory Your AI Agents Can Actually Reuse

A new approach to AI agent memory focuses on making research, notes, and sources reusable across sessions rather than just providing more context. The technique aims to improve agent efficiency by preserving and reusing past work.

read1 min views1 publishedJun 26, 2026

The useful part is not giving agents more context. It is making your research, notes, and sources available again in the next session. Continue reading on Towards AI »

source & further reading
pub.towardsai.net — original article Building a Trusted Semantic Layer with Snowflake Horizon Context Claude Agent SDK Streaming: Your AI Agent Already Knows What It Is Doing. Why Enterprise AI Needs a Governed Meaning Layer: Introducing Snowflake Horizon Context
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