sandropuppo
Joined 2 years ago
Karma
101
Submissions
27
Member since
Dec 15
Recent submissions
Comment · 1 year ago
love the work team :)
Comment · 1 year ago
We recently open-sourced lume, a CLI built on top Apple's Virtualization and Hypervisor frameworks, built specifically for Apple Silicon to support our future tool-building needs.
We're grateful for the overwhelming support from HN and our community on Discord - seeing nearly 2k stars and many open issues in such a short time has been incredible.
lume is released under the flexible MIT license and will always remain so to encourage community contributions.
Core features:
- Run native macOS VMs in 1 command: `lume run macos-sequoia-xcode:latest`
- Prebuilt images on https://ghcr.io/trycua (macOS Sequoia, Ubuntu ARM)
- Local API server to manage VMs programmatically
- A python SDK on [github.com/trycua/pylume](https://github.com/trycua/pylume)
What our first users say:
- ‘Something like Lume should have been a commodity in the ecosystem much earlier. Thanks for going ahead to change that.’
- ‘I’ve been using Colima for a year now to run desktop docker workloads. It would be nice to be able to remove the extra layer of qemu they use.‘
- ‘Looks interesting! I’ve been playing with UTM to do aarch64 VMs and I even cooked up a little Sinatra server to do some AppleScript to reboot the VM and do some other things on the host. I’ll look at this as a more robust solution as to be completely honest, UTM has left a lot to be desired at least for virtualization.‘
Future directions (as asked by our community and design partners):
- Docker-compatible interface for macOS VMs
- VM suspension and Snapshot management
- GPU passthrough (with Paravirtualized Graphics)
- Flexible VM, Images and IPSW locations
- Sharing USB devices
- Remote SSH commands and more UI automation features
Common Questions:
How does this differ from lima, UTM and Tart: https://github.com/trycua/lume/issues/10
How to Install macOS from an IPSW Image: https://github.com/trycua/lume/blob/main/docs/FAQ.md#how-to-...
How do I install a custom Linux image: https://github.com/trycua/lume/blob/main/docs/FAQ.md#how-do-...
Python SDK: [github.com/trycua/pylume](https://github.com/trycua/pylume)
Discord for feedback: https://discord.com/invite/5ngXY2Wn
Comment · 1 year ago
Yes, super sorry about this. I meant to write OSS but forgot an S, and now it's too late to edit the post. But yes this could FOSS since it's a free tool with MIT license.
Comment · 1 year ago
nice product, congrats!
maybe I would just change the UVP in the repo a bit to understand better why the product is different, besides the open-source part of it.
Comment · 1 year ago
ByteDance has open-sourced UI-TARS, delivering a remarkable 33% improvement over OSWorld. The technical report also includes a comprehensive benchmark evaluation across web, desktop, and mobile platforms.
UI-TARS is a next-generation native GUI agent model designed to interact seamlessly with graphical user interfaces (GUIs) using human-like perception, reasoning, and action capabilities. Unlike traditional modular frameworks, UI-TARS integrates all key components—perception, reasoning, grounding, and memory—within a single vision-language model (VLM), enabling end-to-end task automation without predefined workflows or manual rules.
UI-TARS brings together all four key components of CUA agents - perception, reasoning, grounding, and memory - into a single, unified vision-language model (VLM).
Comment · 1 year ago
A friend of mine built an open-source curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
Let us know if you have any feedback, or would like to see anything added :)
Comment · 1 year ago
Love it. Are you thinking about monetizing it?