@TheoriqAI Portal Agent 现场演示和 AMA 总结 Portal Agent 是 AlphaSwarm 体系的核心组件，作为用户与专业化智能体之间的交互接口，能够实时处理 token 查询、动态路由任务，并提供个性化推荐。 Portal Agent 功能展示 核心定位：Portal Agent 是 AlphaSwarm 的前台接口，负责连接用户与后端的专业化智能体，简化用户在去中心化金融（DeFi）中的操作体验。它类似于一个“DeFi 副驾驶”，通过智能推荐和任务路由提升用户效率。 主要功能： 实时 Token 查询：用户可以通过自然语言输入查询 token 信息，Portal Agent 会快速解析并提供相关数据。 动态任务路由：根据用户需求，Portal Agent 将任务分配给专业化智能体（如分析市场趋势的智能体或执行交易的智能体） 智能推荐：通过跟踪钱包数据，Portal Agent 提供个性化操作建议，例如优化投资组合或推荐交易策略。 无缝集成：支持新智能体的动态接入，增强系统的扩展性。 演示案例：以 Kaito 和 Pendle 两个项目为例，展示了 Portal Agent 如何处理用户查询、分析数据并推荐链上操作。 AMA 讨论要点 用户体验优化：团队强调 Portal Agent 的设计目标是降低 DeFi 操作门槛，即使用户不具备区块链或 AI 专业知识，也能通过直观的界面与智能体交互。 链上执行的透明度：社区提出希望看到更清晰的“链上执行”展示。 AlphaSwarm 生态愿景：Portal Agent 是 AlphaSwarm 的入口，未来将与更多智能体协作，覆盖从数据处理到策略执行的完整链条。 总结 @TheoriqAI 的 Portal Agent 现场演示和 AMA 展示了其在简化 DeFi 操作和推动智能体经济方面的潜力。 @TheoriqAI 在技术开发、生态合作和社区建设方面进展显著，测试网运行顺利，主网即将上线。 未来， @TheoriqAI 将通过无代码工具和去中心化治理，进一步扩大 AI 智能体在 DeFi 和 Web3 领域的应用。 @TheoriqAI Portal Agent Live Demo and AMA Recap Portal Agent is a core component of the AlphaSwarm system, serving as the interface between users and specialized AI agents. It can handle real-time token queries, dynamically route tasks, and provide personalized recommendations. Portal Agent Feature Showcase Core Positioning: Portal Agent functions as the front-end interface of AlphaSwarm, connecting users with backend specialized agents. It simplifies user interaction with decentralized finance (DeFi), acting like a “DeFi co-pilot” to enhance efficiency through intelligent recommendations and task routing. Key Features: • Real-time Token Query: Users can input natural language prompts to query token information. The Portal Agent parses the request and delivers relevant data quickly. • Dynamic Task Routing: Based on user needs, tasks are routed to appropriate specialized agents (e.g., agents for market trend analysis or transaction execution). • Smart Recommendations: By tracking wallet data, the Portal Agent provides personalized suggestions, such as portfolio optimization or trading strategy recommendations. • Seamless Integration: Supports dynamic onboarding of new agents, enhancing the system’s scalability and adaptability. Demo Example: Using Kaito and Pendle as case studies, the demo showed how the Portal Agent processes user queries, analyzes on-chain data, and recommends suitable DeFi actions. Key Takeaways from the AMA • User Experience Optimization: The team emphasized that Portal Agent is designed to lower the entry barrier for DeFi users. Even those without blockchain or AI expertise can interact intuitively with AI agents. • Transparency of On-chain Execution: Community members expressed a desire for clearer visibility into the on-chain actions executed by agents. • AlphaSwarm Ecosystem Vision: Portal Agent is the gateway to AlphaSwarm. It will increasingly collaborate with more specialized agents, covering the full spectrum from data processing to strategy execution. Conclusion The live demo and AMA of @TheoriqAI’s Portal Agent highlighted its potential to streamline DeFi operations and drive the AI agent economy forward. @TheoriqAI has shown strong progress in tech development, ecosystem partnerships, and community building. The testnet is running smoothly, and the mainnet launch is imminent. Looking ahead, @TheoriqAI aims to expand the application of AI agents in DeFi and Web3 through no-code tools and decentralized governance. @TheoriqAI THQ