Home / Directory / Agents & orchestration / AI agent sandboxes / Freestyle
Freestyle
San Francisco startup from Y Combinator's Summer 2024 batch that runs full Linux virtual machines for AI coding agents, with live memory forking and snapshots.
Teams building coding agents or AI app builders that need full Debian VMs with nested virtualization, FUSE, and eBPF, plus cheap snapshots and branching.
Enterprises that want a long vendor track record, or teams that need many persistent VMs on a free plan.
Verdict
Freestyle is worth trying for coding agent teams that need real Linux machines they can fork and snapshot instantly. Its VM features go further than most sandbox products. Buyers should weigh that against a very young company with a small team.
Score Breakdown
How Freestyle scores in the categories that matter to its buyers.
Pricing
Freestyle publishes plan prices and per-hour usage rates. Every plan includes the same monthly compute allowance.
| Plan | Price | What stands out |
|---|---|---|
| Free | $0 | 10 concurrent VMs, 10 saved VMs, no persistent VMs |
| Hobby | $50 / month + usage over $50 | 40 concurrent VMs, 200 saved VMs, persistent VMs |
| Pro | $500 / month + usage over $500 | 400 concurrent VMs, 4,000 saved VMs |
| Enterprise | Custom | |
| Usage | $0.04032 / vCPU-hour; $0.0129 / GiB-hour of memory | 200 vCPU-hours and 400 GiB-hours included monthly |
| Storage and transfer | $0.000086 / GiB-hour; $0.02 / GB | 50 GB transfer free, 500 GB on paid plans |
The Field at a Glance
How Freestyle compares with other AI agent sandboxes vendors we reviewed, by Overall Score and relative typical engagement cost.
Freestyle scores 7.6 in AI agent sandboxes, under Northflank (8.1), E2B (8.0), Daytona (7.9), and Runloop (7.7). Relative cost lands mid-band for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Full Linux VMs | Strong | Full Debian with systemd, FUSE, and eBPF. |
| Live forking | Strong | Running VMs fork with memory in place. |
| Snapshots | Strong | Snapshots are ready in under 50 milliseconds. |
| Large VMs | Strong | Up to 64 GB of RAM on public tiers. |
| Persistent VMs on free plan | Weak | Persistent VMs start on Hobby. |
| Vendor track record | Weak | Founded in 2024 with a team of about five. |
Who it’s for
Good fit
- Coding agent startups
- AI app builders
- Teams testing agents across forked environments
Poor fit
- Risk-averse enterprises
- Simple code-interpreter features
- Free-tier users needing persistent VMs
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
Freestyle says its VMs provision in milliseconds with p99 start times under 400 milliseconds, and that they can be hibernated with their exact memory and resumed weeks later.
“Wow, forking memory along with disk space this quickly is fascinating! That's something that I haven't seen from your competitors.”
Freestyle's free plan has no persistent VMs and caps users at 10 concurrent VMs, and the jump from the $50 Hobby plan to the $500 Pro plan is steep for growing teams.
Company Facts
- Founded
- 2024 (Y Combinator)
- Headquarters
- San Francisco (Y Combinator)
- Employees
- About 5 (Y Combinator)
- Accelerator
- Y Combinator, Summer 2024 batch (Y Combinator)
- Website
- freestyle.sh
Key Leadership
Benjamin Swerdlow
Founder and CEO
Methodology
This page is an independent evaluation of Freestyle for buyers comparing options in AI agent sandboxes. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Freestyle did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for AI agent sandboxes)
- Full VM capability
- Fork and snapshot speed
- Vendor maturity
- Free tier limits
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Freestyle is graded here as AI agent sandboxes. Criteria scores can move as more review volume and product checks are added.