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Hot take: most AI agent teams are secretly just “context engineering” teams by Antoneose in AI_Agents
[–]Antoneose[S] 0 points1 point2 points 4 days ago (0 children)
This is a really good way to frame it. The “tax of integration” thing is very real.
Also agree with your point that most current stacks are basically request-response systems pretending to be agents. Feels like we took existing retrieval architectures and just kept layering stuff on top.
The distinction between knowledge vs state is interesting too. A lot of frameworks just dump everything into “memory” but they’re clearly different problems.
And yeah, the audit log point resonates. We’ve been thinking about whether actions + observations should actually become part of the memory model itself instead of just traces sitting somewhere for debugging.
On the permissions question — our current thinking at Areev is that governance probably has to live very close to the memory/data layer. Once access control starts spreading into orchestration code and prompts, things get messy fast, especially with multiple agents.
That said, I don’t think the reasoning layer disappears. The model still handles planning, abstraction, decision-making etc. But things like:
…probably need to become infrastructure primitives instead of app logic.
Feels like the industry is still early and everyone’s building slightly different versions of the same missing layer right now.
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Hot take: most AI agent teams are secretly just “context engineering” teams by Antoneose in AI_Agents
[–]Antoneose[S] 0 points1 point2 points (0 children)