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harshdoesdev

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SETI Home, but for AI

github.com
2 分·作者 harshdoesdev·3个月前·1 评论

[untitled]

1 分·作者 harshdoesdev·3个月前·0 评论

Show HN: Run AI coding agents in real, local sandboxes, not Git worktrees

superhq.ai
6 分·作者 harshdoesdev·3个月前·3 评论

Show HN: Local-First Linux MicroVMs for macOS

shuru.run
213 分·作者 harshdoesdev·5个月前·66 评论

Show HN: Neko – AI agent runtime that fits on a Raspberry Pi Zero 2W

github.com
2 分·作者 harshdoesdev·5个月前·0 评论

评论

harshdoesdev
·3个月前·讨论
Hi guys, we are super excited about the launch of remote.superhq.ai - remote control for your dev environment. please do check it out and share your feedback.
harshdoesdev
·3个月前·讨论
i too wanted to purchase 5-6 3D printers and start a business - basically my version of goose farming after i leave the software dev space for the greater good of mankind :)
harshdoesdev
·3个月前·讨论
bhatti's cli looks very ergonomic! great job!

also, yes, shuru was (still) a wrapper over the Virtualization.framework, but it now supports Linux too (wrapper over KVM lol)
harshdoesdev
·3个月前·讨论
Someone built a project called AgentFM that tries to use a peer-to-peer network of everyday computers to run AI workloads, similar to what SETI@home used to do for crunching radio telescope data.
harshdoesdev
·3个月前·讨论
nice! for most local workloads, it is actually sufficient. so, do you ship a complete disk snapshot of the machines?
harshdoesdev
·3个月前·讨论
+1. i built something similar called shuru.run because i wanted an easy way to set up microVM sandboxes to run some of my AI apps, and firecracker wasn't available for macOS (and, as you said, it is just too heavy for normal user-level workloads).
harshdoesdev
·3个月前·讨论
its a really innovative idea! very interested in the subsecond coldstart claim, how does it achieve that?
harshdoesdev
·3个月前·讨论
had to wait for two minutes just to refresh the PR page. their UI was always a bit clanky, this new wave of "AI productivity" is just making it worse.
harshdoesdev
·3个月前·讨论
thanks! depends on your machine but it is surprisingly lightweight since it uses Apple's Virtualization.framework under the hood. I have comfortably run 3-4 sandboxes on an 8GB Mac. you can also configure CPUs, memory and disk per sandbox from the settings.
harshdoesdev
·5个月前·讨论
glad you liked it! I am currently exploring options for Linux support. will share an update soon.
harshdoesdev
·5个月前·讨论
lume is a much more full featured VM manager, macOS and Linux VMs, API server, prebuilt images, python SDK etc. shuru is intentionally minimal.
harshdoesdev
·5个月前·讨论
apple container is more of a docker-style workflow, OCI images, registries, etc. shuru is just micro VMs with checkpointing, much simpler scope.
harshdoesdev
·5个月前·讨论
cool, would love to see it!
harshdoesdev
·5个月前·讨论
glad to hear it, that's exactly the thinking behind it. alpine is the only option right now yeah. what kind of dependencies are you running into issues with? would help me figure out what to prioritize next.
harshdoesdev
·5个月前·讨论
thanks! let me know how it goes
harshdoesdev
·5个月前·讨论
haven't thought about multi-agent communication yet. each sandbox is fully isolated which is the point. checkpoints help a bit here though, you can branch multiple agents from the same checkpoint so they all start from the same state.
harshdoesdev
·5个月前·讨论
OrbStack is great but it is solving a different problem. it's a full Docker Desktop replacement. shuru is just a thin layer over Virtualization.framework for spinning up throwaway sandboxes.
harshdoesdev
·5个月前·讨论
containers work fine for a lot of this. shuru is just what felt more natural to me. less config overhead and i wanted to learn by building it.
harshdoesdev
·5个月前·讨论
yeah, it just means everything runs on your machine. there are services like E2B, sprites.dev and others that give you sandboxes in the cloud. shuru runs VMs locally using Apple's Virtualization.framework, so nothing leaves your Mac.
harshdoesdev
·5个月前·讨论
Lima can do a lot of what shuru does if you set it up for it. the difference is mostly in defaults and how much you have to configure upfront. with shuru you get ephemeral VMs, no networking, and a clean rootfs on every run without touching a config file. shuru run and you're in. Checkpoints and branching are built into the CLI rather than being an experimental feature you have to figure out. Lima is a much bigger and more mature project though. Shuru is something I am building partly to learn and partly because I wanted something with saner defaults for this specific use case.