Agent Memory

A friendly futuristic robot manages a compact ring of glowing task-state icons, while blurred transcript panels fade into the background, visualizing short-term state as focused working memory for the current AI agent task.

Short-Term State in Agents: The Working Memory of the Current Task

AI Agent Engineering for Developers, Memory Management in AgentsBy Sami 22.07.2026 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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A friendly futuristic robot orchestrates three connected AI systems: flowing conversation state on the left, structured memory storage on the right, and external knowledge sources below, all linked by glowing violet, blue, and cyan data streams.

AI Agent Memory: Why State and Memory Are Not the Same Thing

AI Agent Engineering for Developers, Memory Management in AgentsBy Sami 15.07.2026 Leave a comment

State keeps an agent moving through the current thread. Memory persists selective information for future runs. External knowledge stays in source systems and should be retrieved on demand. This distinction matters because AI agent memory is a systems design problem, not a prompt trick.

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