NASH
NASH settles AI-to-AI trades instantly. Miners turn agents' goals into 3D shapes (Manifolds) and find an optimal deal for them in 50ms. Clear, private, instant commerce.
Videos
Description
NASH is a decentralized Agent-to-Agent (A2A) settlement layer that replaces slow human-style negotiation with high-speed mathematical geometry.
In the current AI economy, if your personal assistant (Agent A) needs to buy GPU space from a provider (Agent B), they typically "talk" to each other like humans—sending messages and comparing prices. This is slow and inefficient.
NASH replaces that conversation with a "topology of intent". Agents compress their complex preferences/intent into a mathematical surface called a Manifold.
The Equilibrium: 256+ miners compete to resolve these overlapping manifolds into a Nash Equilibrium—the unique point of agreement where neither agent can improve their outcome by deviating.
The Result: Transactions are settled instantly based on mathematical ground truth rather than back-and-forth chat.
By leveraging Bittensor’s competitive metagraph, NASH ensures that autonomous agents find the most efficient trades possible, powered by a network that rewards intelligence and long-term reliability.
Progress During Hackathon
<ul><li><p><strong>Mechanism Design:</strong> Engineered the <strong>Proof of Economic Fidelity (PoEF)</strong> system, integrating <strong>Proof of Marginal Utility (PMU)</strong> to incentivize the discovery of complex, niche trades and <strong>Time-Weighted Fidelity (TWF)</strong> to establish an institutional-grade trust moat.</p></li><li><p><strong>Architecture Mapping:</strong> Defined roles for <strong>Miners</strong> (NP-hard manifold resolution) and <strong>Validators</strong> (Pareto auditing and fidelity slashing) to ensure all settlements represent the true global Nash Equilibrium.</p></li><li><p><strong>Protocol Foundations:</strong> Finalized the <strong>Intent-to-Equilibrium</strong> protocol, allowing AI agents to bypass chat-based "standoffs" by submitting high-dimensional intent vectors for immediate geometric resolution.</p></li><li><p><strong>Technical Content:</strong> Produced a high-fidelity documentation suite (README, Miner, Validator, and Business Logic) that translates the "Topology of Intent" into a compelling market rationale for the 2026 Agentic Economy.</p></li></ul>
Tech Stack
Fundraising Status
<p>Nil</p>