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harshdoesdev

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SETI Home, but for AI

github.com
2 points·by harshdoesdev·3 miesiące temu·1 comments

[untitled]

1 points·by harshdoesdev·3 miesiące temu·0 comments

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

superhq.ai
6 points·by harshdoesdev·3 miesiące temu·3 comments

Show HN: Local-First Linux MicroVMs for macOS

shuru.run
213 points·by harshdoesdev·5 miesięcy temu·66 comments

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

github.com
2 points·by harshdoesdev·5 miesięcy temu·0 comments

comments

harshdoesdev
·3 miesiące temu·discuss
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 miesiące temu·discuss
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 miesiące temu·discuss
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 miesiące temu·discuss
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 miesiące temu·discuss
nice! for most local workloads, it is actually sufficient. so, do you ship a complete disk snapshot of the machines?
harshdoesdev
·3 miesiące temu·discuss
+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 miesiące temu·discuss
its a really innovative idea! very interested in the subsecond coldstart claim, how does it achieve that?
harshdoesdev
·3 miesiące temu·discuss
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 miesiące temu·discuss
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 miesięcy temu·discuss
glad you liked it! I am currently exploring options for Linux support. will share an update soon.
harshdoesdev
·5 miesięcy temu·discuss
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 miesięcy temu·discuss
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 miesięcy temu·discuss
cool, would love to see it!
harshdoesdev
·5 miesięcy temu·discuss
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 miesięcy temu·discuss
thanks! let me know how it goes
harshdoesdev
·5 miesięcy temu·discuss
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 miesięcy temu·discuss
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 miesięcy temu·discuss
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 miesięcy temu·discuss
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 miesięcy temu·discuss
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.