展示 HN:一个能够生成自身拓扑并在运行时演化的智能体框架
Show HN: Agent framework that generates its own topology and evolves at runtime

原始链接: https://github.com/adenhq/hive/blob/main/README.md

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## Hive: A New Approach to AI Agents Aden has released Hive, an agent framework built to overcome the limitations of existing solutions like LangChain and AutoGPT in real-world, production environments. The core issue they address is that current frameworks are brittle, prone to looping, and struggle with messy data – failing to deliver the “services” businesses need, rather than just “tools.” Hive distinguishes itself through several key principles: avoiding the “Toy App” ceiling by focusing on persistent state beyond chat sessions, utilizing an OODA loop (Observe, Orient, Decide, Act) for robust error handling and dynamic task management, and achieving reliability through redundancy (“Best-of-3” verification). It also incorporates concepts from biology and psychology, like “homeostasis” to prevent infinite loops and “traits” to influence agent behavior. The project emphasizes headless automation and treating exceptions as observations, allowing agents to self-correct and evolve. However, the launch has been met with skepticism, with multiple comments alleging aggressive marketing tactics and questioning the project’s legitimacy. The code is available on GitHub: [https://github.com/adenhq/hive](https://github.com/adenhq/hive).
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