分类：AI大模型

The MARA Hackathon 2025 addresses critical AI energy efficiency challenges by gathering engineers to develop solutions for the compute-energy imbalance, with Bitcoin incentives and IP frameworks supporting sustainable AI innovation. (MARA 2025黑客松通过聚集工程师开发解决计算-能源不平衡的方案，应对关键的AI能源效率挑战，比特币激励和IP框架支持可持续AI创新。)

Mastra is a comprehensive TypeScript-based framework for building AI agents and applications, featuring unified model routing, autonomous agents, workflow orchestration, and seamless integration with modern web stacks. (Mastra是一个基于TypeScript的完整AI代理与应用构建框架，具备统一模型路由、自主代理、工作流编排等核心功能，与现代Web技术栈无缝集成。)

RunAgent is a cross-platform AI agent framework enabling Python-built agents to be accessed natively from JavaScript/TypeScript via multi-language SDKs, featuring serverless deployment, enterprise security, and RunAgent Pulse for advanced scheduling. (RunAgent是一个跨平台AI代理框架，允许通过多语言SDK从JavaScript/TypeScript原生访问Python构建的代理，具有无服务器部署、企业级安全性和用于高级调度的RunAgent Pulse功能。)

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Openv0 is an open-source generative AI framework that transforms front-end development by enabling automated UI component generation through natural language descriptions, significantly accelerating the development lifecycle. (Openv0是一个开源的生成式AI框架，通过自然语言描述实现自动化UI组件生成，彻底改变了前端开发流程，显著加速了开发周期。)

Manifesto is an open-source AI-native UI framework that enables AI agents to truly understand and interact with interfaces through semantic state layer technology, transforming traditional forms into machine-readable interfaces with complete semantic context for predictable automation. (Manifesto是一个开源的AI原生UI框架，通过语义化状态层技术使AI代理能够真正理解和交互界面，将传统表单转换为具有完整语义上下文的机器可读接口，实现可预测的自动化。)

Microsoft Agent Framework simplifies AI agent development by reducing orchestration complexity and supporting multi-agent workflows through familiar .NET patterns, enabling production-ready deployment with minimal code. (微软Agent Framework通过降低编排复杂性并通过熟悉的.NET模式支持多智能体工作流来简化AI智能体开发，实现以最少代码进行生产就绪部署。)

AI agent frameworks accelerate development by 70% through standardized components, enabling complex multi-agent coordination and real-world task execution. (AI智能体框架通过标准化组件将开发速度提升70%，支持复杂多智能体协调和现实世界任务执行。)

Microsoft Agent Framework (MAF) is a production-ready AI agent framework that combines Semantic Kernel and AutoGen strengths with enterprise features for observability, security, and durability, supporting multiple orchestration patterns and cloud-agnostic deployment. (微软AI智能体框架是一个生产就绪的AI智能体框架，结合了Semantic Kernel和AutoGen的优势以及企业级的可观测性、安全性和持久性功能，支持多种编排模式和云无关部署。)