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🦞 LIVE NOW: Build a personal AI agent you own

Meta has Muse. xAI has Grok Bot. OpenClaw lets you run a personal agent on your own machines, with your own memory, tools, and data.

OpenClaw 2.0 with Chief Architect Vincent Koc

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Welcome, humans.

OpenClaw 2.0 goes LIVE right now

Meta Muse. Grok Bot. Gemini Spark. Three different takes on the same suddenly-hot idea: give an AI its own computer, memory, tools, and enough autonomy to keep working after you close the chat.

Call it inspiration, convergence, or just the obvious end-state of agents, but OpenClaw was already making this idea tangible in the open before personal agents became Big Tech’s favorite new category. It runs on your own devices, connects to the channels and tools you already use, and is built around a personal agent you control.

And right now, we’re going LIVE with Vincent Koc, Chief Architect of OpenClaw, to show you what that looks like now with OpenClaw 2.0.

What we’re digging into

  • How to get OpenClaw 2.0 running and set up a personal agent you actually own.

  • What changed in 2.0, including the new experience and easier setup.

  • How agents can work across your local machines and cloud workers.

  • Memory, automations, loops, approval controls, credentials, and permissions.

  • Interactive widgets, dashboards, local models, interoperability, and experimental multi-agent features like Swarm.

We’ll keep it hands-on, put your questions directly to Vincent, and try to answer the practical question behind all the personal-agent hype: what can you actually set up for yourself today?

4 PM PT / 7 PM ET. We start in five minutes.

🎥 Missed our GitHub beginner livestream?

GitHub for total beginners with Cassidy Williams

If AI can build you an app but “push it to GitHub” still sounds mildly threatening, start here. Cassidy Williams walked us through repos, branches, pull requests, worktrees, GitHub Actions, and how AI coding agents fit into the whole thing.

🎥 And then we stress-tested GPT-6 Astra

GPT-6 Astra one-shot build experiments

Corey and Grant gave Astra six ridiculous one-shot build tests with almost no follow-up steering. It built a black hole simulator, a Blender scene, a physics game, a sci-fi world, a sound diagnostic prototype, and Cat Doom.

The useful part is seeing exactly where frontier coding agents are already shockingly capable, and where taste, restraint, and human judgment still matter.

Stay curious,

The Neuron Team

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