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TYPED MEMORY

Typed memory, not a blob

The context window is an agent's short-term memory - this turn, then gone. Agent Memory is the durable layer beneath it: every turn is kept as a raw episodic record, and five typed categories are extracted from it, each with its own lifecycle and retrieval weight.

01 |THE MODEL

One raw record, five typed categories

Nothing is thrown away. The full episode is kept exactly as it happened, and identity, knowledge, context, instructions, and uncertainty are extracted from it - so recall can weigh each kind of memory on its own terms instead of flattening them into one undifferentiated blob.

Six kinds of memory, one system

Every turn is distilled into typed categories, each stored, versioned, and retrieved on its own terms - not averaged into a single vector.

02 |ONE SUBSTRATE

Typed beats a blob

Flatten everything into one vector blob and every memory is retrieved the same way - recent chatter competes with standing rules, and contradictions get silently averaged. Typing the memory keeps them distinct.

Each kind, its own lifecycle

Context is short-lived and replaced fast; instructions are standing rules. Typing them means each expires, updates, and ranks on its own schedule.

Weighted for recall

A typed category carries its own retrieval weight, so a standing instruction outranks a passing remark instead of competing with it as equal text.

Contradictions stay explicit

Uncertainty is a category of its own - conflicting facts are kept side by side, not blurred into a single averaged value.

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Give your agents a memory that lasts

Durable, typed memory beneath whatever you build - one system you buy, secure, and audit once. Built on SurrealDB.

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Agent Memory that connects and retrieves context wherever your data lives.

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