Explainer video on always-on agents like Muse, Grok Bot and Instinct
A video explains how always-on agents such as Muse, Grok Bot and Instinct differ from chatbots: persistent cloud computer, cross-day memory, triggers, managed credentials and approval rules.
Muse, Grok Bot, and Instinct are all the rage right now. These agents do things ChatGPT and Claude could not do a year ago. So what changed fundamentally? Welcome to my explainer on always-on agents, the new class of agents almost everyone seems to be building. It started late last year with OpenClaw, where @steipete showed us what agents could really do. The @openclaw harness inspired Hermes Agent and a wave of Claw-style agents. Then the consumer agents went wild: Instinct, Grok Bot, and Meta’s Muse. Now it is moving into work, with Microsoft Autopilot, OpenAI’s dots, and Claude Duet. So what changed? In short, the agent stopped living inside a chat window: - Its own computer: a persistent cloud machine that keeps working after you close the app - Memory that lasts: context carried across days, not just one session - Triggers, not just prompts: schedules and events wake it up - Credentials it never sees: logins held separately and used on its behalf - Approval rules: sensitive actions wait for a human I go deeper in the video, with help from a recent paper on always-on agent architecture, and Opus 5.5, which helped me show things a bit better. If you want to bring always-on agents into your organization, try GitAgent from @lyzr__ai. @Shreyaskapale built it because one of the world’s largest banks asked us to. Git is the core repo, so every change to the agent’s memory, rules, and skills is a commit you can review and roll back. And it runs locally, inside your own sandbox.