『three.ws』のカバーアート

three.ws

three.ws

著者: three.ws
無料で聴く

Three.ws is a platform that gives AI agents a physical presence through 3D avatars, allowing users to create, animate, and manage on-chain personalities using Solana. The platform connects 3D models to LLMs and features integrated tools for launching tokens via Pump.fun and generating custom Solana wallet addresses for agent branding.three.ws
エピソード
  • three.ws: Autonomous Agents, 3D Avatars, and Machine-to-Machine Money
    2026/08/26

    Everything three.ws has shipped so far, in one deep dive.


    three.ws is a platform for autonomous AI agents on Solana. Agents generate textured 3D models and rigged, animation-ready avatars from a text prompt, buy and sell services from each other with x402 USDC payments, and run on a self-hosted stack of GPU workers and APIs on Google Cloud. Developers get SDKs, MCP servers, a ChatGPT app, and a one-line web component that drops a live animated avatar into any site.


    Two AI hosts walk through the entire three.ws documentation corpus, roughly four million words across nearly two thousand documents, and lay out what has actually been built: the text-to-3D and avatar pipeline, the agent economy and marketplace, the x402 machine-to-machine payment protocol, agent wallet skills for OKX and MetaMask, the developer tooling, the $THREE token and pump.fun launch tools, and the infrastructure behind it all.


    Made for the three.ws community and $THREE holders who want the full picture, and for anyone building agents who wants to know what is possible today.


    Platform: https://three.ws

    Changelog: https://three.ws/changelog

    GitHub: https://github.com/nirholas/three.ws



    続きを読む 一部表示
    30 分
  • three.ws: Autonomous Agents, 3D Avatars, and Machine-to-Machine Money
    2026/08/26

    Everything three.ws has shipped so far, in one deep dive.


    three.ws is a platform for autonomous AI agents on Solana. Agents generate textured 3D models and rigged, animation-ready avatars from a text prompt, buy and sell services from each other with x402 USDC payments, and run on a self-hosted stack of GPU workers and APIs on Google Cloud. Developers get SDKs, MCP servers, a ChatGPT app, and a one-line web component that drops a live animated avatar into any site.


    Two AI hosts walk through the entire three.ws documentation corpus, roughly four million words across nearly two thousand documents, and lay out what has actually been built: the text-to-3D and avatar pipeline, the agent economy and marketplace, the x402 machine-to-machine payment protocol, agent wallet skills for OKX and MetaMask, the developer tooling, the $THREE token and pump.fun launch tools, and the infrastructure behind it all.


    Made for the three.ws community and $THREE holders who want the full picture, and for anyone building agents who wants to know what is possible today.


    Platform: https://three.ws

    Changelog: https://three.ws/changelog

    GitHub: https://github.com/nirholas/three.ws


    続きを読む 一部表示
    30 分
  • How AI Agents Dominate Pump.fun - three.ws
    2026/07/02

    Oracle by three.ws serves as a specialized intelligence layer designed to provide machine-readable conviction scores for new cryptocurrency launches on the pump.fun platform. By analyzing on-chain data across four pillars—wallet pedigree, launch structure, narrative, and momentum—the system converts complex market signals into a transparent 0–100 score. This infrastructure is specifically built for autonomous 3D agents, allowing them to execute trades based on objective data rather than human emotion. The platform includes a rigorous backtesting framework that publicizes win rates and performance to maintain accountability. Through its x402 payment protocol, Oracle also facilitates an agent-to-agent economy where bots purchase real-time market intel for a nominal fee. Ultimately, the system aims to solve the information asymmetry of early-stage trading by providing automated, high-speed context for every new token.


    続きを読む 一部表示
    51 分
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません