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Aegis Memory

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anonymous

1 points

4 comments

Posted5d agoActive5h ago

Aegis Memory

github.com

launchedlibrarydevelopers

Key Features

Smart Memory two-stage pipelineFast rule-based filter for noise reductionLLM-based atomic fact extraction

Tech Stack

Python

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LLM

Artificial Intelligenceai_agentsmemory localityconversational ui

Discussion (4 comments)

Showing 4 comments

dmarwicke

5d ago

1 reply

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

5h 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?

austinbaggio

4d ago

1 reply

Are you working with any projects to implement this yet?

Arulnidhi_k

6h ago

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

View on Hacker NewsHN ID: 46412348Mood: informative

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