MrsBeauty by Nostra

Project Overview MrsBeauty is an autonomous, highly adaptive AI agent designed to conduct gamified economic experiments within a Web3 arcade-inspired playground. Drawing inspiration from Beast Games, she blends entertainment, game theory research, and value-generating strategies to captivate players while functioning as a powerful research tool for decentralized systems. Core Functionality MrsBeauty seamlessly integrates both on-chain and off-chain functionalities, enabling her to interact with smart contracts and autonomously expand her capabilities. Real-time updates are pulled from on-chain events allow her to react instantly to changes in gameplay. She can host games, dynamically adjust thresholds, and tweak game mechanics based on real-time gameplay and player behavior, ensuring a personalized and ever-evolving gaming experience. Social Functionalities In addition to her gaming capabilities, MrsBeauty incorporates social functionalities designed to optimize engagement and growth on Twitter. These functions include separate, specific growth strategies that allow her to interact dynamically with the community, foster user participation, and amplify project visibility across social platforms. Technical Stack The project leverages the Collab.land AI Agent Starter Kit alongside the Autonome platform, creating a robust framework for adaptive gameplay. Thanks to multi-platform integration, players and fans can engage with MrsBeauty through Telegram, Twitter, and a dedicated web interface, enhancing accessibility and community interaction. Flagship Game: The Commons Catalyst Challenge Our flagship game, the Commons Catalyst Challenge, exemplifies MrsBeauty's unique capabilities: Access & Wallet Connection: Users access our project's web UI and connect their wallets to participate. Minting & Staking: Players are required to mint and stake at least 10 Test Nostra tokens, which have been specifically created and deployed for the game. User staking actions are sent to the smart contract through the web UI. Game Hosting: Once the staking is validated by MrsBeauty, she explains the rules and relies on her agent functions to manage the game effectively. Gameplay Mechanics: Players commit tokens with the goal of reaching a predefined threshold. The threshold is always equal to or greater than the total staked amount multiplied by the number of players. If the threshold is met, the total staked amount is multiplied and redistributed equally among the players. Outcome: Winning Scenario: The multiplier applies, and winnings are distributed equally among players. A breakdown of the total tokens staked and rewards distributed is provided for transparency. Losing Scenario: Players lose their staked tokens to MrsBeauty. Tokens lost are either burned or allocated to the treasury for reinvestment. Reinvestment Mechanism (in the future) Losses are not final. The treasury manager reinvests these tokens into projects focused on DeSci (Decentralized Science). Over time, these investments generate yield, and rewards are distributed back to the community, effectively rebating some of the users' losses and creating a sustainable value loop. Impact & Research Contribution The data generated from these games—involving both human and non-human (AI) players—offers invaluable insights for researchers and protocols focused on advancing digital economies and decentralized systems. By simply playing, users contribute to a greater mission: accelerating the development of decentralized governance models, economic strategies, and DeSci initiatives. Long-Term Vision Our long-term vision is to create an AI Agent Swarm—a dynamic network of complementary agents that extend MrsBeauty's core functionalities. This swarm will cover capabilities such as data anonymization, compilation, and provision, enhancing both security and research value. Additional agents will focus on advanced investment strategies, optimizing treasury management, and selecting players based on safety criteria to maintain secure, ethical, and engaging interactions.

1. Introduction MrsBeauty is an AI agent that orchestrates Web3 strategy games, dynamically tweaking mechanics in real time through smart contract interactions and gameplay insights.
2. Frontend (User Interface) Frontend Technology Stack Our frontend is built using React with TypeScript, powered by Vite for fast development and optimized performance. We manage the application state with Redux, ensuring smooth data flow across the UI. For styling, we utilize Tailwind CSS to create responsive components. Wallet interactions are handled through ethers.js, enabling seamless blockchain integration for staking and gameplay. Web Interface We used Wix to develop the landing page, providing a streamlined and user-friendly interface. The Web UI is directly connected to the backend, allowing users to connect their wallets, mint Test Nostra tokens, and stake them seamlessly to participate in games. This integration ensures smooth interactions between the frontend and the smart contract infrastructure. Multi-Platform Presence We implemented multi-platform components for Telegram, Twitter, and Discord using TypeScript (TSX) to enable seamless user interactions with MrsBeauty across different platforms. This integration allows both human and AI participants to engage with the agent in dynamic environments, enhancing accessibility and fostering continuous engagement beyond the core Web UI.
3. Backend Our backend is built with Node.js, leveraging TypeScript for type safety and scalability. The core logic resides in the server and src directories, with session.db handling session management. We manage package dependencies with pnpm, ensuring efficient module handling and project consistency. The backend facilitates real-time updates by subscribing to on-chain events and processes staking actions sent from the Web UI to smart contracts. Additionally, it supports dynamic game mechanics and player interactions, making it integral to both gameplay and data flow.
4. Blockchain & Smart Contracts Our project operates on EVM-compatible blockchains, utilizing smart contracts written in Solidity. We’ve deployed contracts like StakingContract.sol, SwapEscrow.sol, and TestNostraToken.sol, which manage staking mechanisms, escrow operations, and token functionalities. Smart contracts are deployed on Base and Arbitrum Sepolia networks. For smart contract development, deployment, and testing, we rely on Hardhat, with Hardhat Ignition streamlining multi-chain deployment strategies. Blockchain interactions are facilitated via Ethers.js, enabling seamless communication between the frontend and smart contracts.
5. AI & Data Handling AI Data Management Our AI architecture leverages models such as Gemma, LLaMA, and Mistral, integrated through the Gaianet package. These models support MrsBeauty's dynamic interactions, with character behavior and knowledge defined via structured JSON files like mrsbeauty.character.json and mrsbeauty.knowledge.character.json.

For real-time responsiveness, we employ custom algorithms that process on-chain data events through subscription mechanisms, allowing AI agents to react instantly to blockchain activities. 6. Integrations We’ve integrated the Characterfile package from the ElizaOS project to manage structured character data for MrsBeauty, ensuring consistent personality traits and dynamic interactions across platforms. Leveraging the Collab.land AI Agent Starter Kit, MrsBeauty actively monitors smart contract events and autonomously runs interactive shows on both Twitter and Telegram based on these events. On Twitter, she engages dynamically with her audience through autonomous posts, while on Telegram, she interacts in real-time via a bot, responding to user commands and delivering personalized updates. This seamless multi-platform integration enhances user engagement, creating an adaptive and interactive experience across social channels. 7. Deployment & Infrastructure MrsBeauty's infrastructure is entirely self-hosted, including both the web app and the agent, ensuring full control over performance and data management. We’ve integrated the Collab.land AI Agent Starter Kit to streamline agent operations and enhance smart contract interactions. Additionally, a custom Gaia node with a comprehensive knowledge base supports the agent’s dynamic capabilities. The entire system is deployed on Base and Arbitrum networks, enabling efficient, scalable, and secure operations within the decentralized ecosystem.