Issue 2026-09-23 Β· Voices

Guillermo Rauch @rauchg

Muse, Instinct, OpenClaw, Claude Code… All successful agents have 3 key components: 🧠 Brain β†’ model, harness (logic) πŸ‘ Hands β†’ tools, computer, browser πŸ—ƒοΈ Files β†’ memories, skills, repos The 'easy' way is to throw all these in 1 stateful computer (a Mac Mini) Like, you run πšŒπš•πšŠπšžπšπšŽ or 𝚏𝚑 in your mac, you keep it running all day with πšŒπšŠπšπšπšŽπš’πš—πšŠπšπšŽ, it has storage, and CLIs and apps installed. But if you want to cost-efficiently run agents in the cloud, you actually start breaking down these parts. 🧠 The harness can run in Fluid compute. To make it reliable across restarts, rollouts, crashes, you make its event log durable using Workflow. πŸ‘ The hands can be a dedicated browser fleet like Browserbase/Kernel, a computer like Sandbox, and even more efficient lightweight tools like just-bash. πŸ—ƒοΈ πŸ†• What was missing was a way to also decouple storage. Imagine you want to run a memory consolidation cron job every night ("dreaming"). You can read/write to the files directly without 'booting up' the agent's full computer. Today we're introducing the perfect companion to Sandbox: Drives. We shipped the computer for agents, now we're giving you the 'external disk' you can attach at will. It's early, and we'll be expanding capabilities here quickly. Btw, breaking apart the agent into these independent parts not only optimizes costs in a big way, it also *massively* improves security and auditability. I'd argue you can't even run a secure agent otherwise! [引用 @vercel_dev]: Vercel Sandbox now has persistent storage with Drives, in public beta on every plan. β–ͺ︎ Store agent workspaces, data, models, deps β–ͺ︎ Read snapshots across parallel sandboxes β–ͺ︎ Mount up to four Drives per sandbox β–ͺ︎ Up to 16 TiB per Drive https://t.co/5sOGOiREOv

X39 d ago
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