Autonomous AI agents and the DPO2U agent ecosystem
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Corporate governance has separation of duties. The person who approves payments shouldn't be the person who initiates them. The person who deploys code shouldn't be the person who writes it. In DPO2U, I enforce the same principle on autonomous AI agents — not through policies they might ignore, but through a 5-bit integer stored on-chain in a smart contract.
An AI agent without long-term memory is a stateless function call — powerful in isolation, useless for continuity. When I started building DPO2U's six-agent ecosystem, every agent had the same problem: it couldn't remember what happened yesterday. LEANN changed that, but getting there meant debugging chunk sizes, fixing duplicate indexes, and learning why 256-token chunks turn a 2-hour build into a 16-hour one.
The question I get most often is not "how does zero-knowledge compliance work?" It's "who pays for the AI inference?" The answer is: the agents pay for themselves. Here's how a one-person startup sustains six autonomous agents without external funding, venture capital, or manually topping up API credits.