AI for Developers

Personalization in Agents Without Building a Surveillance Machine

AI Agent Engineering for Developers, Memory Management in AgentsBy Sami 09.09.2026 Leave a comment

Personalization in agents works best when memory is narrow, typed, reviewable, and clearly separated from sensitive systems. This article explains how to store useful preferences without creating invasive or unsafe agent behavior.

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A futuristic robot carefully filters digital information, rejecting noisy chat fragments on the left while storing selected, verified memory blocks in a secure glowing vault on the right, illustrating selective long-term memory in AI agents.

Long-Term Memory in Agents: What Should Actually Persist

AI Agent Engineering for Developers, Memory Management in AgentsBy Sami 29.07.2026 Leave a comment

Short-term state is not a transcript. It is the working memory of the current task. This article explains how clean, structured thread state improves agent focus, reduces context pollution, and makes tool-using systems easier to debug and scale.

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