Show HN: Aegis Memory v1.2 – We solved "what's worth remembering" for AI agents

1 pointsposted a month ago
by Arulnidhi_k
(github.com)

4 Comments

austinbaggio

a month ago

Are you working with any projects to implement this yet?

Arulnidhi_k

a month ago

Not yet in production, but actively looking for devs to test it and gain feedback..

dmarwicke

a month ago

memory voting sounds interesting but does it work? i tried having agents mark useful chunks once, they just marked everything as helpful. accuracy went to shit

Arulnidhi_k

a month ago

Voting requires context.agents must specify 'why' something was helpful, not just thumbs up/down. This adds friction that reduces noise.

Here's the Effectiveness score that is implemented in the project: (helpful - harmful) / (total + 1), so marking everything helpful dilutes the signal rather than inflating it.

Along with it gotta pair voting with reflections, agents store "this worked because of X" not just "this worked."

May I know what setup you tried.. was it a single agent or multi-agent?