Why I Bet on Open Source AI Agents

There are two visions for the future of AI Agents.

Vision A: The Walled Garden. Apple Intelligence knows your calendar. Microsoft Copilot knows your Word docs. Google Gemini knows your emails. None of them talk to each other, and none of them talk to the tools you actually build.

Vision B: The Bazaar. A mesh of specialized agents—a coding agent, a research agent, a scheduling agent—that communicate over standard protocols. They are swappable, inspectable, and most importantly, yours.

The Case for Openness

I am betting on Vision B. Not just because it's philosophically nice, but because it's technically superior.

1. The N+1 Problem

No single company can build integrations for every SaaS tool in existence. If we rely on OpenAI to build a "Salesforce Connector," we'll wait forever. But if we have an open standard (like MCP), the community builds the connector once, and every agent can use it.

2. Trust Requires Inspection

Would you let an AI delete production databases if you couldn't see the code it was running? Me neither. For agents to do real work, they need to be transparent. Open source agents allow us to build "Guardrails" (like I did with mconnect) that strictly define what an AI can and cannot do.

3. Composition > Monoliths

I don't want one giant "God Model" that is mediocre at everything. I want a deeply specialized Medical Research agent to talk to a specialized Data Visualization agent. That composition only happens if we agree on open standards.

Building the Community

This is why I spend my nights building open source tools. I want to attract the builders who see this future. The ones who aren't waiting for permission to build the next layer of intelligence.

If that's you, let's build together.