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Agents

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主要分享前端以及前沿科技资讯。 🚫 禁止人身攻击:请在评论区保持尊重和友好,避免不当言论和负面互动。 🚫 禁止违规内容:请勿发布任何黄赌毒、宗教极端、政治敏感或其他违反社区规定的内容。 🚫 禁止广告与刷屏:为了维护良好的交流环境,请不要进行任何形式的广告推广、黑产活动、刷屏行为及发布不适内容。 🔒 保护个人信息:请注意个人隐私和网络安全,不要在评论区泄露个人信息或点击不明链接。
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什么是 Agent2Agent(A2A)协议?

Today’s AI agents can solve narrow tasks, but they can’t hand work to each other without custom glue code. Every hand-off is a one-off patch…
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全面了解 GitHub Copilot 的强大模式

Last month, we released agent mode as a step toward building GitHub Copilot into a system that not only works with you, but works for you…
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面向成熟团队的 AI

On an unremarkable Monday last February, Andrej Karpathy fired off a tweet that gave the internet its new favorite buzz-phrase: vibe coding.…
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AI 代理的未来是事件驱动的

AI agents are set to transform enterprise operations with autonomous problem-solving, adaptive workflows, and scalability. But the real…
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Agents:体系化的介绍 Agents

决定 Agent 能力的两个方面:工具和规划。 Artificial Intelligence: A Modern Approach (1995) defines an agent as anything that can be viewed as perceiving its…
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构建高效代理(Agents)

Anthropic 公司近期发布了一篇关于构建有效智能代理(agents)的研究报告,分享了与客户合作及自身构建智能代理的经验,并为开发者提供实用建议。报告指出,成功的智能代理构建并非依赖于复杂的框架或专用库,而是简单的、可组合的模式。
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