[designorbit]

Love this perspective. You nailed the core issue: LLMs ≠ process engines. And agentic frameworks stacking roles often end up masking fragility instead of fixing it.

One thing I’ve been exploring is this middle ground—what if we stop treating LLMs as process executors, and instead make them contextual participants powered by structured, external memory + state layers?

I’m building Recallio as a plug-and-play memory API exactly for this gap: letting agents/apps access persistent, scoped memory without duct-taping vector DBs and custom orchestration every time.

Totally agree the dream won’t materialize through token prediction alone—but maybe it does if we reconnect LLMs with better state + memory infra.

Have you seen teams blending external memory/state successfully in production? Or are most still trapped inside the prompt+vector loop?