Enterprise AI agents still look like loops, memory, tools, and context stitched together
Johannascot · reddit · 2026-07-24
The author argues that enterprise AI agents often reduce to the same primitives: loops, memory, tools, and context.
They've been prototyping small agents that read a document, call a tool, and decide the next step, then testing them through Atlas Cloud so the same setup can hit GPT or Claude without reworking keys.
The main question is what companies can actually use these systems for. The author is skeptical that many agent products have broken out beyond a handful of tools like Codex, Claude Code, and Hermes, and feels that a lot of the value still looks like API calls stitched together.
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