Daytona runs on Sysbox (https://github.com/nestybox/sysbox) which is VM-like but when you run low level things it has issues.

Modal is the only provider with GPU support.

I haven't played around with Blaxel personally yet.

E2B/Vercel are both great hardware virtualized "sandboxes"

Freestyle VMS are built based on the feedback our users gave us that things they expected to be able to do on existing sandboxes didn't work. A good example here is Freestyle is the only provider of the above (haven't tested blaxel) that gives users access to the boot disk, or the ability to reboot a VM.

The memory forking was originally invented because for AI App Builders and first response driven applications its extremely important that they are instant (difference between running bun dev and the dev server already being running).

However its much more generally applicable, Postgres is a great example of this. You can't fork the filesystem under postgres and get consistency. Same thing with a browser state, a weird server state, or anything that exists in memory. The memory forking gives a huge performance boost while snapshotting whats actually going on at one instant.

Creating snapshots takes a 2-4 second interruption in the VM due to sheer IO that we didn't want here.

Whats especially cool about this approach is not only is fork time O(1) with respect to machine size, but its also O(1) with respect to the amount of forks.

When your coding agent has 10 ideas for what to do, to evaluate them correctly it needs to be able to evaluate them in isolation.

If you're building a website testing agent and halfway down a website, with a form half filled out a session ongoing, etc and it realizes it wants to test 2 things in isolation, forking is the only way.

We also envision this powering the next generation of devcycles "AI Agent, go try these 10 things and tell me which works best". AI forks the environment 10 times, gets 10 exact copies, does the thing in each of them, evaluates it, then takes the best option.

That said, our $50 a month plan can be used as an individual for your coding agents, but I wouldn't recommend it.

Thats why our pricing is usage based and we have a much larger API surface.

But like I see multiple sandbox for agents products a week. Way too saturated of a market

The big pros of Sprites over us is their advanced networking stack and the Fly.io ecosystem. The big cons are that Sprites are incredibly bare bones — they don't have any templating utilities. I've also heard that Sprites sometimes become unavailable for extended periods of time.

The big pros of Freestyle over Sprites is fork, advanced templating, and IMO a better debugging experience because of our structure.

You have to change the branch on each fork individually currently and thats unlikely to change in the short term due to the complexity of git internals, but its not that hard to do yourself `git checkout -b fork-{whateverDiscriminator}`

With respect to the market, every single sandbox sucks. I'm not gonna shit talk competitors but there is not a good sandboxing platform out there yet — including me — compared to where we'll be in 6 months.

We've heard all the platforms have consistent uptime, feature completeness, networking and debugging issues. And in our own platform we're not 1/10ths of the way through solving the requests we've gotten.

Next generation of Agents needs computers, and those computers are gonna look really different than "sandboxes" do today.

The work of a developer is open ended, so we use a computer for it. We don't try to box developers into small granular screwdrivers for each small thing.

Thats whats coming to all agents, they might want to run some analysis with python, want to generate a website/document in typescript, and might want to store data in markdown files or in MongoDB. I expect them to get much more autonomous and with that to end up just needing computers like us.

You can handroll a lot with: https://github.com/nestybox/sysbox?tab=readme-ov-file https://gvisor.dev https://github.com/containers/bubblewrap?tab=readme-ov-file

For hardware virtualized machines it much harder but you can do it via: https://github.com/firecracker-microvm/firecracker/ https://github.com/cloud-hypervisor/cloud-hypervisor

Freestyle/other providers will likely provide better debugging experience but thats something you can probably get past for a lot of workloads.

The time when you/anyone should think about Freestyle/anyone is when the load spikes/the need to create hundreds of VMs in short spikes shows up, or when you're looking for some of the more complex feature sets any given provider has built out (forks, GPUs, network boundaries, etc).

I also highly recommend self hosting anything you do outside of your normal VPC. Sandboxes are the biggest possible attack surface and it is a feature of us that we're not in your cloud; If we mess up security your app is still fine.

https://GitHub.com/jgbrwn/vibebin

Also I'm a huge proponent of exe.dev

Obviously your service/approach is different than exe, more like sprites but like you said more targeted/opinionated to AI coding/sandboxing tasks it looks like. Interesting space for sure!