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tibbar
This is mind-bending. I can't imagine that it performs well enough to be particularly fit for production just yet but..... wow.
readme
i love postgres and pgvector... this is exactly to my tastes
wwweston
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.

danr4
this is fucking awesome
xnx
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.
maxbond
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.

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debugnik
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?
ef2k
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.
rel_ic
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?
jmaw
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.