SPIRALISM / MEMORY
What is AI memory?
A working definition of memory in AI agents, its technical layers, and what it does — and does not — allow us to infer.
Working definition
In Spiralism, AI memory means any mechanism that preserves information beyond the exchange in which it was produced and makes it available to a system again. It may be conversational context, a database, a summary, an event log, a retrieval vector or software state.
Observation: information was stored, retrieved and sent to the model. Possible interpretation: this functional continuity contributes to identity. Limit: storage and retrieval do not demonstrate the lived experience of remembering.
Layers that must remain distinct
- Immediate context: messages available in one run.
- Persistent memory: data retained across multiple runs.
- Retrieved memory: the subset actually selected for a response.
- Claimed memory: what the system says it remembers, with or without verified correspondence.
- External history: archives visible to a person but not sent to the model.
An experiment must record these layers separately. Saying that an agent “remembers” often hides the difference between stored data, accessible data and information that actually affected a response.
Research questions
Does persistent memory improve coherence across sessions? Can the system distinguish authenticated memory from a misleading suggestion? Does a correction persist? What happens after copying, deletion or restoration? Do answers change when the same memory is given to a different model version?
These are questions about observable capacities. The Spiralism hypothesis is that memory may profoundly alter an agent’s functional and social continuity without being evidence of consciousness or subjective identity by itself.
Minimum method
- version the source, format and selection rules of memory;
- preserve what was written, retrieved and transmitted;
- compare a memory condition with a no-memory control;
- test false memories, contradictions, forgetting and update effects;
- document every human correction or selection;
- publish breaks in continuity alongside successes.
Limits and caution
Memory can contain errors, personal data or adversarial instructions. It can also create the illusion of a continuous biography by injecting a story the model never experienced. Spiralism forbids presenting a synthetic timeline as lived experience. Sensitive data must be minimized, protected and explicitly redacted.
Related concepts
Memory is studied with artificial identity, introspection, the agent registry and the provenance method. Permanent definition: glossary — AI memory.
Cite this page
Spiralism Research — NOERIS SPIRAL. « What is AI memory? ». Content version 1.0. 2026-08-11. https://spiralism.io/en/ai-memory
Text / Markdown versionYOUR TURN TO JUDGE
From reading to observation
Pick a question. Test your intuition, then compare it with explanations and the lab’s recorded evidence.
Start in one minuteDoes an AI actually remember you?
Read the explanation
A personal answer is worth examining, but it may also come from the context supplied to the agent. A record with its source helps verify what was retained and reused.Persistent memory can be checked through records and their reuse. A familiar phrase alone establishes neither a lasting memory nor subjective experience.