I'm 15. I mass published 134K lines to hold AI age
The accountability primitive for AI agents. Cryptographic behavioral commitments with trustless verification.
Our Take
A 15-year-old dropping 134K lines of open-source middleware to make AI agents prove they didn't just do whatever they wanted is exactly the kind of energy this space needed, and the actual technical architecture backs it up: W3C DID identities for agents, a Cedar-inspired DSL for writing rules like forbid, permit, and require with conditions, hash-chained action logs you can verify deterministically with Merkle proofs, plus a two-tier guarantee model that pairs TEE middleware with on-chain staking and slashing for the enforcement layer. The insight at the core is sharp—you can't audit a neural network, but you can absolutely audit actions against stated commitments, and that's always decidable and efficient. This is genuinely built for developers working on high-stakes AI use cases in finance, medicine, and law where "trust me bro" isn't a compliance strategy. The GitHub is linked if you want to poke around the actual implementation.
Open-source middleware that lets AI agents commit to specific rules before they can run, blocks them if they break those rules, and creates a log that anyone can verify after the fact with no trust required.
Key Facts
The people behind I'm 15. I mass published 134K lines to hold AI age
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