Deploy AI On-Chain Without Code: Nimanode Starts $NMA Presale

Leeds, United Kingdom – Nimanode, a new platform designed to allow users to deploy AI agents on the blockchain without requiring code, has commenced the presale for its utility token, $NMA. Built on the XRP Ledger (XRPL), the platform aims to make on-chain AI automation accessible to both technical and non-technical users.

The presale is offering 45% of the total $NMA supply, equivalent to 90 million tokens. Early participants can acquire tokens before the expected public listing, where the token is projected to debut at a 25% higher price.

To join the presale, interested individuals can send XRP from XRPL-compatible wallets, such as Xumm or XAMAN, to the official presale address provided on Nimanode’s presale page.

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Nimanode centers around an Agent Marketplace, envisioned as a decentralized hub where users can license, share, and monetize AI agents. These agents are intended to automate various blockchain tasks, including executing smart contracts via XRPL Hooks, monitoring tokenized real-world assets (RWAs), optimizing DeFi positions, providing decentralized customer support, and scanning wallets for risk.

The Nimanode founding team stated, “We’re putting powerful, intelligent automation in the hands of every Web3 user—without the barrier of code.” They emphasized the choice to build on XRPL to ensure the agents operate with speed, low latency, and scalability.

The platform features a drag-and-drop builder for creating AI agents without coding, while also offering an SDK for developers seeking advanced customization.

The $NMA token is integral to the Nimanode ecosystem. Its utility includes deploying and upgrading AI agents, accessing licensed agents in the marketplace, staking for protocol rewards, and participating in decentralized governance decisions.

The company highlights that all presale transactions are recorded on-chain for transparency.

Nimanode describes itself as the first zero-code platform for launching on-chain AI agents on XRPL, aiming to streamline access to decentralized AI infrastructure.


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