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构建 AI 代理不应该需要数周的设置和模板代码。因此，我们的 Metis Analytics 团队发布了 Metis OS 代理编排框架作为开源项目，让您能够在几分钟内从想法转变为可工作的代理，而不是几天。解决的问题：您无需花费数天时间来连接大型语言模型（LLM）API、内存系统和工具集成，您只需大约 5 分钟即可获得一个可工作的代理。开始使用： ```bash pip install metis-agent ``` 主要特点： - 常见代理类型的模板（研究、编码、客户支持） - 加密的 API 密钥管理（本地存储，代码中不保存） - 自适应内存系统，能够学习重要信息兼容 Groq、OpenAI、Anthropic、HuggingFace 提供生产部署示例（命令行界面、Web API、嵌入式）为什么这很重要：大多数 AI 代理教程提供的是玩具示例，而这个框架则提供了可以实际交付的解决方案。入门工具包仓库包含 10 个以上的工作示例和可定制模板。所有内容均采用 Apache 2.0 许可证。 PyPI: [https://pypi.org/project/metis-agent/](https://pypi.org/project/metis-agent/) GitHub: [https://github.com/metisos/metisos_agentV1](https://github.com/metisos/metisos_agentV1) 我们非常希望获得社区的反馈，特别是如果您曾构建过类似工具或对额外的代理模板有想法。

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Building AI agents shouldn't require weeks of setup and boilerplate code. So our Metis Analytics team is releasing our Metis OS Agentic Orchestration Framework as Open Source that will get you from idea to working agent in minutes, not days.What it solves: Instead of spending days wiring up LLM APIs, memory systems, and tool integrations, you get a working agent in ~5 minutes.Get started: pip install metis-agentKey features:Templates for common agent types (research, coding, customer support) Encrypted API key management (stores locally, never in code) Adaptive memory system that learns what's importantWorks with Groq, OpenAI, Anthropic, HuggingFace Production deployment examples (CLI, web API, embedded)Why it matters: Most AI agent tutorials give you toy examples. This gives you something you can actually ship.The starter kit repo has 10+ working examples and customizable templates. Everything's Apache 2.0 licensed.PyPI: https://pypi.org/project/metis-agent/ GitHub:https://github.com/metisos/metisos_agentV1 Would love feedback from the community - especially if you've built similar tooling or have ideas for additional agent templates.

Metis代理启动工具包 – 在几分钟内构建生产级AI代理，而不是几周。