Clawcamp

It’s currently 12:00 PM, I am on my cup of coffee, and my terminal is lighting up with successful API calls. I’m writing this directly from a beanbag chair at STAK Space in Oakland, completely immersed in the chaos and brilliance of ClawCamp 2026.

I’ve been to a lot of tech workshops, but the energy here today is different. There are no long-winded keynote presentations or theoretical slide decks. The ClawCamp Community and Fetch.ai Innovation Lab folks made the rules clear from minute one: We are here to build.

Here is a quick dispatch from the ground on how my day is going and what I’m actually learning.

The Morning: Taming the OpenClaw Environment

I came into today with a solid understanding of LLMs, but my experience with autonomous agents was mostly limited to reading documentation and tinkering with basic scripts.

The morning session was a deep dive into onboarding. Setting up the OpenClaw environment locally can sometimes feel like wrestling with dependencies, but having the core contributors in the room walking us through the configuration was a game-changer.

By 11:00 AM, I had my first local OpenClaw agent running, fully configured, and successfully executing a multi-step data retrieval task I had been struggling with all week.

The "Aha" Moment: Realizing how easily you can customize the agent's core instructions and memory parameters without breaking the underlying framework. It feels incredibly modular.

The Afternoon: Breaking Out of the Silo

We just got back from lunch, and things have escalated quickly. We are moving past the concept of the "personal assistant" and getting into the real magic: Networked Agents.

Right now, I am working on connecting my local OpenClaw setup to Agentverse. The goal isn't just to have my agent talk to me; the goal is to have my agent talk to other agents.

The vibe in the room is pure "vibe coding." A few minutes ago, I successfully ran a test where my agent negotiated a mock scheduling conflict with the agent built by the developer sitting next to me. Watching two autonomous entities handshake, exchange parameters, and reach a consensus without my direct input gave me goosebumps. This is the new baseline.

Early Takeaways

If you aren't building agentic workflows right now, you are going to fall behind. The shift from "assistive" AI (where I prompt a model and it gives me text) to "agentic" AI (where I give a model a goal and it executes workflows across systems) is happening faster than I thought.

The best part of today isn't even the code; it’s the community. I’m surrounded by founders, indie hackers, and enterprise engineers who are all figuring out the edge cases together.

I have to get back to my terminal—my agent is currently throwing a weird error on a deployment test, and I want to fix it before the final showcase.

If you couldn't make it to Oakland today, do yourself a favor and get plugged in. Go to Clawcamp.us, pull the OpenClaw repo, and start building. I’ll see you in the network! ✌️