Practical ideas for working with agents, explanations of memory, and notes from building Space.
An agent can revise its instructions without retraining its model. Hermes and Prime Agent show how the software around a model can retain useful lessons, organize work, and make improvement measurable.
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An agent can use a saved fact in a later session without being retrained. Understanding that distinction makes memory systems easier to build, evaluate, and trust.
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The next session needs enough context to make a good decision. Here is a small, explicit handoff you can use with a document today.
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Remembering a decision is only part of the job. You also need to know who said it, what it meant, and whether it still applies.
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Our first real client check covered ten MCP calls and work we could inspect in the website. Here is what happened and what that establishes.
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