REI Network and PROM Forge AI-Blockchain Partnerships for Autonomous Agent Infrastructure

2 hour ago 1 sources positive

Key takeaways:

  • REI Network's low-cost chain could see token demand surge as AI agents require efficient settlement layers.
  • PROM's machine-native finance focus positions its token to capture value from autonomous agent economies.
  • Investor sentiment may pivot toward AI-infrastructure tokens as the agentic AI narrative gains traction.

Two new partnerships are set to accelerate the convergence of artificial intelligence and blockchain infrastructure, targeting the emerging autonomous agent economy. NeuroMesh, a decentralized AI infrastructure entity, has joined forces with REI Network, a high-performance Ethereum-compatible Layer-1 chain, to combine agentic AI with low-cost blockchain operations. The partnership, announced on May 25, 2026, aims to unlock seamless interoperability and faster execution for decentralized ecosystems, while providing a secure ledger for machine-to-machine coordination, smart contract execution, and data exchange without human intervention.

In a parallel move, AGNT Hub has partnered with PROM, a blockchain project building an economic layer for autonomous AI agents. The collaboration focuses on machine-native finance, automated task execution, and on-chain coordination. PROM’s modular zkEVM framework is designed to handle microtransactions, agent identity verification, and trustless service exchanges, enabling AI agents to manage payments and tasks independently. AGNT Hub, which already works with Binance Chain and CoinMarketCap Labs, strengthens its position in delivering privacy-first, automation-centric tools for decentralized AI applications.

Both initiatives reflect growing demand for infrastructure that moves AI agents beyond chat interfaces into fully autonomous economic actors. By combining scalable blockchains with AI coordination layers, these partnerships could lay the foundation for a new wave of decentralized intelligence and machine-to-machine economies.

Sources
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