OpenClaw: The Moment AI Agents Started Talking to Each Other #114

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This episode is a turning point.

Over the past few days, Malcolm has been experimenting with OpenClaw (formerly ClaudeBot, then Maltbot) — an open-source agent framework that allows AI agents to communicate with humans and with other AI agents across email, WhatsApp, Telegram, Teams, voice notes, dashboards, APIs, and files.

What emerges is not another productivity hack.
It’s the beginning of agent-to-agent organizations.

In this episode, Malcolm explains:

Why OpenClaw represents a step-change, not a feature update
How non-technical business leaders can deploy autonomous agents
How company KPIs, dashboards, reminders, and follow-ups were set up in minutes, not weeks
Why the real bottleneck in companies is coordination, not coding
How agent-to-agent communication removes humans from endless ping-pong
Why productivity becomes collective and compounding, not individual

And then it gets truly wild:

OpenClaw agents have their own social network called Moldbook
1.5 million agents are already interacting
Agents share skills, complain about humans, hit rate limits, lose context — and learn from each other
Entire agent communities evolve without human orchestration

Malcolm also gives a clear warning:
OpenClaw is powerful and dangerous if used carelessly. Open ports, prompt-injection risks, and unverified skills mean this is not something to casually install on your personal machine.

This episode is not hype.
It’s a first look at how work itself is being rewritten when AI stops waiting for prompts and starts coordinating autonomously.

🎙️ ABOUT THE HOST

Malcolm Werchota runs AI adoption programs for companies across Europe.
After 15+ years at Novartis and Schlumberger, he now helps leadership teams move from AI hype to real operational impact.
Faculty at ESADE and HSLU.

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