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Identity. Contracts. Risk. Settlement. Consensus. Everything an autonomous AI agent needs to exist as an economic entity. 19 protocol modules. Formal verification. Zero-knowledge proofs.
AI agents are rapidly becoming autonomous economic actors. Stripe launched Machine Payments Protocol on March 18, 2026. Visa, Mastercard, Google, and Coinbase each shipped competing agent payment systems within the same week. McKinsey projects $3–5 trillion in global agentic commerce by 2030. Yet the entire infrastructure assumes the only problem is payments. It is not.
For an AI agent to function as a genuine economic entity, it needs far more than the ability to move money. It needs cryptographic identity, the ability to enter binding agreements, mechanisms for dispute resolution when things go wrong, real-time risk management, insurance against errors, delegation of authority, and accountability to the humans and organizations it represents. None of this infrastructure exists today.
AEOS (Agent Economic Operating System) is an open protocol that provides the complete economic infrastructure for AI agents. Built on Ed25519 elliptic curve cryptography, Pedersen commitments, zero-knowledge range proofs, Merkle accumulators, and verifiable random functions, AEOS enables agents to operate as first-class economic citizens with mathematically enforced authority bounds, cryptographically binding contracts, automated dispute resolution, and continuous risk monitoring.
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About Phanes on Product Hunt
“The Economic Operating System for AI Agents”
Phanes was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #109 on the daily leaderboard. Identity. Contracts. Risk. Settlement. Consensus. Everything an autonomous AI agent needs to exist as an economic entity. 19 protocol modules. Formal verification. Zero-knowledge proofs.
Phanes was featured in API (98.6k followers), Artificial Intelligence (478.1k followers), GitHub (41.4k followers) and Web3 (7.8k followers) on Product Hunt. Together, these topics include over 172.2k products, making this a competitive space to launch in.
Who hunted Phanes?
Phanes was hunted by Tofael Hossain. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Tofael Hossain