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JosephjackJR

14 karma · joined December 2, 2025

Hardware guy!
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Engineer made built in memory, loop detection and audits mandatory for agents

github.com·2 pts·JosephjackJR·
1

I beat mem0 on long eval memory and could not care less

octopodas.com·4 pts·JosephjackJR·
0

Show HN: Local memory layer for AI agents, survives restarts, no embeddings

screenapp.io·2 pts·JosephjackJR·
0

Agent memory is structured not fuzzy.why are we all using vector DBs for it?

old.reddit.com·2 pts·JosephjackJR·
3

Two orders of magnitude faster Persistent AI memory via a binary lattice

github.com·1 pts·JosephjackJR·
2

Show HN: Synrix local-first memory engine (O(k) retrieval, no vectors, no cloud)

github.com·2 pts·JosephjackJR·
0

Cloud costs are the #2 expense at midsize IT companies. Is this sustainable?

cio.com·1 pts·JosephjackJR·
3

The $1M Annual Cost of RAM-Bound Vector Databases in the Cloud

synrix.substack.com·2 pts·JosephjackJR·
2

Show HN: Synrix – A Zero-Loss, Sub-Microsecond Memory Engine for Edge Compute

ryjoxdemo.com·3 pts·JosephjackJR·
0

Fuck RAM Limits 50M Persistent Nodes on a $199 Jetson (186 ns, CPU-only)

ryjoxdemo.com·4 pts·JosephjackJR·
1

Why real-time AI memory is still slow, and a different approach

drive.google.com·2 pts·JosephjackJR·
5

50M persistent nodes on a $199 Jetson – 186 ns latency, CPU-only

ryjoxdemo.com·6 pts·JosephjackJR·
1