展示HN:EdgeAI-OS – 一种隔离网络的Linux发行版,其中AI作为系统原语。

1作者: neuralweaves3 个月前原帖
我构建了一个可启动的Linux发行版,将人工智能视为系统原语——就像CPU或内存一样。该系统专为数据不能离开网络的安全敏感环境设计。 问题:大多数人工智能需要云API,这意味着您的数据将失去控制。对于银行、医疗、国防和受监管行业来说,这根本不可行。 解决方案:EdgeAI-OS在本地运行所有内容。没有云调用,没有API密钥,没有遥测。启动ISO,使用人工智能。您的数据永远不会离开机器。 安全特性: - 100%离线操作——适合空气隔离,零网络依赖 - 无外部API调用——所有推理在CPU上本地运行 - 命令风险评估——每个命令被分类为安全/中等/危险 - 危险模式阻止——防止执行rm -rf /、curl|bash、fork炸弹等 - 开源且可审计——MIT许可证,检查每一行代码 - 无数据外泄——绝不向外发送任何信息 ISO中包含的内容: - 本地LLM(TinyLlama 1.1B + SmolLM 135M)——在CPU上运行,无需GPU - ai-sh:自然语言命令行,80%的查询通过模板瞬间解决 - 多层路由:简单查询→快速模型,复杂查询→更大模型 示例ai-sh会话: 现在几点了? [模板] date ← 即时,无需LLM 文件大于1GB [模板] find . -size +1G ← 即时,无需LLM rm -rf / [危险] 被阻止 ← 安全检查 将nginx配置为反向代理 [ai生成] ... ← 使用本地LLM(约1-2秒) 目标使用案例: - 空气隔离的企业环境(银行、医疗、政府) - 国防与机密网络 - 无互联网连接的边缘设备 - 注重隐私的开发者 - 合规要求高的行业(HIPAA、GDPR、SOC2) 基于Rust构建,基于Debian。推荐4GB RAM。 GitHub: [https://github.com/neuralweaves/edgeai-os](https://github.com/neuralweaves/edgeai-os) ISO下载: [https://github.com/neuralweaves/edgeai-os/releases](https://github.com/neuralweaves/edgeai-os/releases)(1.2GB) 非常希望获得反馈,尤其是来自安全/受监管环境工作的人员。哪些功能会让您觉得这个系统适合企业使用?
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I built a bootable Linux distribution that treats AI as a system primitive – like CPU or memory. Designed for security-conscious environments where data cannot leave the network.<p>The problem: Most AI requires cloud APIs, which means your data leaves your control. For banks, healthcare, defense, and regulated industries – that&#x27;s a non-starter.<p>The solution: EdgeAI-OS runs everything locally. No cloud calls. No API keys. No telemetry. Boot the ISO, use AI. Your data never leaves the machine.<p>Security features: - 100% offline operation – air-gap friendly, zero network dependencies - No external API calls – all inference runs locally on CPU - Command risk assessment – every command classified as Safe&#x2F;Moderate&#x2F;Dangerous - Dangerous pattern blocking – prevents rm -rf &#x2F;, curl|bash, fork bombs, etc. - Open source &amp; auditable – MIT licensed, inspect every line of code - No data exfiltration – nothing phones home, ever<p>What&#x27;s in the ISO: - Local LLMs (TinyLlama 1.1B + SmolLM 135M) – runs on CPU, no GPU needed - ai-sh: natural language shell where 80% of queries resolve instantly via templates - Multi-tier routing: simple queries → fast model, complex → larger model<p>Example ai-sh session: what time is it? [template] date ← instant, no LLM<p>files larger than 1gb [template] find . -size +1G ← instant, no LLM<p>rm -rf &#x2F; [DANGEROUS] Blocked ← security check<p>configure nginx as reverse proxy [ai-generated] ... ← uses local LLM (~1-2s)<p>Target use cases: - Air-gapped enterprise environments (banks, healthcare, government) - Defense &amp; classified networks - Edge devices with no internet connectivity - Privacy-conscious developers - Compliance-heavy industries (HIPAA, GDPR, SOC2)<p>Built with Rust, based on Debian. 4GB RAM recommended.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;neuralweaves&#x2F;edgeai-os" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;neuralweaves&#x2F;edgeai-os</a> ISO Download: <a href="https:&#x2F;&#x2F;github.com&#x2F;neuralweaves&#x2F;edgeai-os&#x2F;releases" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;neuralweaves&#x2F;edgeai-os&#x2F;releases</a> (1.2GB)<p>Would love feedback, especially from anyone working in secure&#x2F;regulated environments. What features would make this enterprise-ready for you?