Show HN: Pgclaw – A "Clawdbot" in every row with 400 lines of Postgres SQL
47 points by calebhwin
by maxbond
1 subcomments
What's the advantage in putting agents in the persistence layer rather than the application layer? This seems to me strictly less flexible, scalable, secure, easy to work with... I am having a hard time imagining why I would want to integrate with APIs or write an agentic harness in the database rather than in application code?
Maybe I'm behind the times but I don't understand.
by tibbar
1 subcomments
This is mind-bending. I can't imagine that it performs well enough to be particularly fit for production just yet but..... wow.
by jmaw
0 subcomment
What does it mean to put an agent inside of a PG DB? Is PG doing the actual computing/inference (does it tie to GPU), or is PG just storing the state of the agents neural net (is that a thing, it seems like it would be).
Maybe I'm strictly too stupid to even parse the concept, but I don't understand what I'm looking at one bit.
by wwweston
2 subcomments
This... does not seem like separation of concerns.
Not to mention that the data layer seems like the one where you want to keep things most deterministic.
by debugnik
0 subcomment
I don't understand why claw is a data type for columns in these examples, it doesn't seem to store any actual per-row state. Is it not possible to hook extensions onto "with" clauses or something similar?
by rel_ic
2 subcomments
We need your help! Can you please use your creativity to build resilience to climate change in your community instead of experimenting with more ways to spend computing power?
by xnx
2 subcomments
It feels like we're a week away from the Claw hype supplanting AI hype. Companies will start renaming things ClawX to get on the hype bandwagon.
by ef2k
0 subcomment
Nice. These are the kind of boundary pushing projects I like to see. It challenges assumptions of where application logic should live. The implications around cost, latency, and recovery are going to be interesting.
by
0 subcomment
by readme
2 subcomments
i love postgres and pgvector... this is exactly to my tastes
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