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Most AI agent memory never pays for itself

Built a small tool for Claude Code that tracks whether “agent memory” rules actually pay for themselves in token usage. The idea is simple: every persistent instruction should justify itself by reducing future token cost. If it doesn’t, it gets flagged for removal. Over time, a surprising amount of memory ends up being neutral or negative ROI once measured. Check it out, would mean a lot :) Repo: https://github.com/vukkt/token-warden

Vuk Topalović 2026-06-23 05:12 5 原文
开发者 Product Hunt

Tufte

CDN and Node package to generate ASCII graphs inline Discussion | Link

2026-06-23 05:07 4 原文
开发者 The Verge AI

Valve describes just how brutal RAM negotiations are in 2026

Valve's Steam Machine finally has a price: a whopping $1,049 for the 512GB configuration or $1,349 for the 2TB version. And those are without bundled controllers, which drive up the cost more. The prices are so high in part because Valve isn't subsidizing the hardware, and the company has already indicated that the component crisis […]

Jay Peters 2026-06-23 05:07 12 原文