Konshus

Deep dive · Data audit

How Much Does ChatGPT Actually Remember?

A controlled 1,000-prompt benchmark of ChatGPT memory across 180 days. Recall by category, the eviction curve, and the one habit that changes the shape of the graph.

The Konshus TeamPublished August 10, 202612 min read
A tipped glass jar spilling glowing golden memory fragments into dark space — the visual metaphor for gradual memory eviction.

Question

The question, precisely

"Does ChatGPT remember me?" is a bad question because "remember" is doing too much work. This benchmark answers a sharper one: given a specific fact taught to ChatGPT on day zero, what percent of the time will the assistant correctly recall that fact on day N? Broken out by fact type, by the mechanism it was taught through (explicit save vs. reference chat), and over six checkpoints from same-day to six months.

Method

How we ran 1,000 prompts

One hundred synthetic user profiles, each taught ten distinct facts across five categories on day zero. Half the facts were introduced via explicit "please remember" saves; half were mentioned in ordinary conversation and left for the model to catch on its own. Each profile ran on a fresh Plus account with Memory turned on and reference chat history enabled.

On days 1, 7, 30, 60, 90, and 180, each profile was queried with a fixed set of prompts asking it to recall the taught facts. Answers were scored by a blind human review with a three-way rubric: correct-and-verbatim, correct-in-spirit, or missed. Everything reported here is the sum of the first two.

Recall over time

The decay curves

Figure. Recall percentage over 180 days for two memory mechanisms. Explicit saved memory decays gently; reference-chat retrieval drops steeply. Konshus, August 2026 (n=100 synthetic profiles, 1,000 prompts)

The gap widens with time. At six months, an explicit saved memory is still correctly recalled 82% of the time; a fact that was only mentioned in conversation is recalled 24%.

Categories

What it remembers best (and worst)

Figure. 90-day recall by fact category, saved-memory mechanism. Simple standalone facts survive best; nuanced positions and numeric details survive worst. Konshus, August 2026

The pattern is stable across the six checkpoints. Anything nuanced — a considered position on a topic you talked about three times, the exact date of a project deadline, the specific role a person plays in your life — is where ChatGPT drops facts. Simple, atomic, standalone statements stick.

Eviction

The eviction curve

Underneath the recall numbers is a mechanical process: entries in the Memory list are quietly evicted when the per-account cap fills. In our synthetic profiles (each carrying 60–120 saved memories by day 90), roughly 8% of the oldest saved memories were gone by day 90 and 17% by day 180 — even for facts the profile had never overwritten.

What triggers eviction

  • Cap pressure. Once you cross the practical cap (roughly 100–120 memories on a Plus account), the oldest entries start getting dropped.
  • De-duplication. A newer memory the model judges to supersede an older one silently overwrites it.
  • Contradiction resolution. When two memories conflict, one wins and the other disappears. You are not asked which.

Implications

What this means for you

  1. Say "remember this" out loud. The model's auto-save catches a small fraction. Explicit is a 10–20 pt recall bump.
  2. Repeat the important stuff quarterly. Because of eviction, re-teaching every 90 days keeps a fact at 96%+ instead of drifting toward 82%.
  3. Don't rely on reference chat for anything load-bearing. 61% at 30 days sounds okay until you notice it's 37% at 90.
  4. Keep a portable copy. A monthly export plus a sidecar vault turns every one of these curves into a flat line at 100%.

FAQ

Frequently asked

Frequently Asked Questions

Further reading

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