FAQ
tldr
Last updated
tldr
Last updated
aigent.run is a platform designed to simplify the deployment of AI agents and facilitate the trading of generative tokens within the XRP ecosystem. Built for The Root Network and the XRP Ledger, it integrates AI agent frameworks with on-chain XRP integration to offer practical tools for users.
To begin using aigent.run, follow these steps:
Wallet setup: Set up a built-in wallet to manage your tokens and transactions.
Trading tokens: Trade generative tokens and agent-tied tokens using the platform's features.
Deploying agents: Deploy AI agents for a variety of tasks on TRN or the XRPL.
Detailed instructions are available in the section of the documentation.
Generative tokens are created through AI-driven processes. They represent tokens generated by AI agents.
To launch a generative token, follow the , which provides a step-by-step tutorial.
Agents are intelligent AI entities that are designed to perform specific tasks or functions. They can be used to create generative tokens, interact with users, deployed onchain or perform other AI-driven activities.
To launch an agent:
XRPL, or the XRP Ledger, is a decentralized blockchain powered by native XRP. It is designed for fast and cost-efficient transactions, enabling use cases like payments, tokenization, and decentralized finance (DeFi).
TRN, or The Root Network, is a blockchain network that integrates seamlessly with the XRPL to provide enhanced functionality for AI agents, tokenization, and gaming applications. It forms the underlying infrastructure for aigent.run.
Refer to the section, which covers agent frameworks, communication, and case studies.
Explore the for detailed information on our in-house AI agent framework.
Information about fees can be found in the section of the documentation. It outlines any costs associated with deploying agents, creating tokens, and conducting transactions on the platform.
Yes, aigent.run offers multiple incentive programs to encourage user participation and engagement. Details are available in the section.