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What's really happening when agents stop being generic chatbots and start working from your memory, skills, and owned context?
The common story is that AI agents are just another interface for automation - but the reality is that the ownership layer around memory, permissions, and workflow is becoming the product.
In this video, I share the inside scoop on how an open personal agent stack starts to become buildable for normal people.
Why memory changes what an agent can actually do How open skills turn repeated workflows into reusable methods What approval layers make agent ownership safer Where the personal agent stack starts to become practical
This matters for operators, builders, marketers, and executives who want AI systems that work inside their actual context without handing away control of every account, secret, or permission.
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