一个工作空间，为每项任务拼装出所需的界面，然后和你一起把这件事做完。
同一个内核，三种交付方式。挑一个适合你现有机器的。
从你会有什么改变开始，而不是从架构开始。
系统是怎么搭起来的，以及它允许和不允许智能体做什么。
是谁在做这件事，它从哪来，又要去哪。
MeghaOS 能在你自己的机器上处理 100 多种语言。本站在此处列出的每一种语言中都已全部翻译完成；法律页面与博客文章保持英文。
工程上的取舍、架构上的争论，以及偶尔我们做错的事。
What MCP is, how the transport and primitives actually work, how servers are built and connected, and what you are granting when you connect one.
Voice is the fastest input humans have, and we use it for timers. The reason is not accuracy. It is that every mainstream assistant points a microphone at somebody else's data centre.
Why an agent's capabilities are its attack surface, how prompt injection turns tool access into a real exploit, and which mitigations actually hold under pressure.
What a read-only root filesystem actually changes, how A/B atomic updates and BTRFS snapshots work, and why the model suits agentic workloads in particular.
What hardware you need, how quantisation and context length drive memory, which model sizes suit which work, and where local inference stops being the right answer.
Every guarantee that matters for agentic AI (isolation, egress control, rollback, attribution) is enforceable at the OS layer and merely promised anywhere above it.
People withhold context from cloud assistants, correctly. That withholding is what makes those assistants mediocre.