Hermes just had its biggest update run since launch — and it's moving so fast that even daily users are missing half of it. So I pulled the 9 that actually move the needle. A few of the highlights: - /goal — set a goal once and the agent locks onto it across every turn - Memory upgrade — remembers every chat + tool call, zero setup - /background — run 5 tasks at once, keep chatting in the foreground - /model — swap models mid-conversation to slash your bill - Native Codex — hand the coding to Codex on your ChatGPT plan The 4 most people are sleeping on: /goal, the curator, /model, and native Codex. Set those up first. And if you haven't updated in a while, just run hermes update. 📎 Full step-by-step guide PDF pinned below — all 9, every command, the model cheat sheet. 🗓️ Free live webinar June 3rd, 7pm ET — the 4 AI agency offers working right now. Show up live and grab my AI Offer Selection Scorecard. Not recorded. Register here: https://theaiaccelerators.com/registration Comment which of the 9 you're setting up first 👇 [Watch the video here ▶️]

Quick gut check: how many times have you re-explained the same context to Claude? Your business, your ICP, your stack, your preferences… over and over, every new chat. That's about to change — and the way they're doing it is the part worth paying attention to 👇 Anthropic is testing a dual-mode memory system. You'll get to pick between two setups: Classic — what we have now. Everything Claude learns about you gets compressed into one summarized note. Memory Files — the new one. Your context gets split across multiple structured documents, organized by topic, project, or context. Notes Claude writes as you chat and reads back only when they're relevant — and you can browse and edit them anytime. Basically a built-in personal wiki Claude pulls from selectively, depending on what you're working on. Tied to this is a feature called Dreams, which Anthropic has already shipped (in preview) on its Managed Agents platform. It's a scheduled, background pass over your memory — merging duplicates, replacing stale info, resolving contradictions, and surfacing patterns it missed live. They literally model it on REM sleep: your brain replaying the day and deciding what to keep. The original store stays untouched while a cleaned-up version gets produced for review. Why this matters if you're building with AI: If you've touched always-on agents, you already know this pattern — file-based memory is what lets agents scale past the limits of a single context window. Anthropic is now bringing that same architecture toward the consumer product. That's the real signal here. They're not just improving chat memory — they're laying groundwork for persistent, always-on agents. For builders: this is the unlock for agents that actually remember the job. No more cramming everything into a system prompt and praying. You'll architect memory the way you'd architect a knowledge base — by project, by client, by context. (Side note: Harvey, one of Anthropic's enterprise customers, reportedly saw task completion rates jump ~6x once Dreams-style consolidation was turned on. That's not a rounding error.)