Thoughts

Personality typologies fail as science, but they preserve a question worth stealing for artificial minds: do systems differ systematically in how they metabolize information?

Einstein and Newton published in formats they did not think in, and the same distinction between working representation and interchange format belongs in agent design.

Agent memory architectures are better described as coordinates on a few defended axes than by the names of the technologies they are built from.

Whether knowledge lives inside rich documents or in the topology between small ones is an old tradeoff that LLMs have just repriced on both sides.

Two agents over the identical Markdown files are different minds if they hold different tools — an argument that a memory is defined by its operations, not its bytes.

Declarative and procedural externalization produce different kinds of minds, not different file formats for the same mind.

A preregistered experiment — one base model, eight persistent architectures, months of shared tasks — that someone could start this month.

Closing the series: the design space was never memory features but persistent cognitive organisms and their societies, and one factorial experiment separates the claim from the metaphor.

Why the CPU-cache analogy for LLM knowledge bases is seductive, where exactly it breaks, and which systems analogies carry the weight better.

Agent memory is where caching was before anyone measured a workload: strong intuitions, real systems, and no instruments.