4 posts tagged with "Agents"

How do you upgrade a decentralized protocol? The naive answer is a multi-sig wallet controlled by the founding team. The idealistic answer is one-person-one-vote. Both are wrong.

Multi-sig is centralization with extra steps. One-person-one-vote ignores the intensity of preference — a stakeholder who barely cares about a proposal has the same power as one whose entire business depends on it. And one-token-one-vote, the most common Web3 model, simply reproduces plutocracy on-chain: whoever holds the most tokens wins every vote.

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.