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I Built an AI Memory Agent That Forgets on Purpose — Then Spent Two Days Proving It Actually Works

AI agent forgets on purpose

Steady

14

signal score

🔗 3

sources · python

Cooling

7-day est. ~3

Why this scored 14

every term, weighted
Velocity+3.0 / 40 max

Engagement per hour, normalized against the fastest item on its own source

Acceleration+0.0 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+5.6 / 25 max

How many independent communities are talking about the same entity

Recency+7.9 / 10 max

Decays to zero over 14 days

Saturation penalty2.0 / 30 max

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite14.4

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~3

range 14

14-day

~0

range 02

30-day

~0

range 01

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

Entities

qwencloudpython
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Drop this in a README or blog post — it updates automatically as the score moves.