Home / Directory / Agents & orchestration / AI agent sandboxes / Runloop
Runloop
San Francisco infrastructure startup that runs AI coding agents in isolated cloud devboxes, with snapshots, repo connections, and tools for testing agents against benchmarks.
Teams building AI coding agents that need isolated devboxes with repo setup, snapshots, and benchmark runs, and that may later deploy inside their own cloud.
Teams that only need short code-interpreter runs, or small projects that want suspend and resume without paying for Pro.
Verdict
Runloop is worth using for teams building AI coding agents that need full development environments and a way to measure agent quality. Its suspend billing suits bursty agent workloads. Small projects will find the $250 Pro plan a step up.
Score Breakdown
How Runloop scores in the categories that matter to its buyers.
Pricing
Runloop publishes plan prices and usage rates. New accounts get a free Pro trial with $50 in usage credit.
| Plan | Price | What stands out |
|---|---|---|
| Basic | Free + usage | 100 GB free storage, devboxes, blueprints, snapshots, email support |
| Pro | $250 / month + usage | 1 TB free storage, suspend and resume, repo connections, Slack support |
| Enterprise | Custom | Reinforcement fine-tuning, deployment in your cloud, priority support |
| Compute usage | $0.108 / CPU-hour; $0.0252 / GB-hour of memory | No charge for CPU and memory while suspended |
The Field at a Glance
How Runloop compares with other AI agent sandboxes vendors we reviewed, by Overall Score and relative typical engagement cost.
Runloop scores 7.7 in AI agent sandboxes, under Northflank (8.1), E2B (8.0), and Daytona (7.9), and ahead of Freestyle (7.6). Relative cost lands upper-mid for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Coding agent devboxes | Strong | Devboxes include repo setup, SSH, and IDE access. |
| Snapshots and branching | Strong | Disk state can be snapshotted and branched. |
| Agent benchmarks | Strong | Evaluation tools test agents on real tasks. |
| Suspend billing | Strong | Suspended devboxes stop CPU and memory charges. |
| Low-cost Pro features | Weak | Suspend and repo connections need the $250 Pro plan. |
| Short code-interpreter calls | Mixed | Built for full dev environments more than quick snippets. |
Who it’s for
Good fit
- AI coding agent startups
- Model labs testing coding agents
- Enterprises deploying agents in their own cloud
Poor fit
- Simple code interpreter features
- Hobby projects
- Teams avoiding a monthly platform fee
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.
“Runloop has been killer for our business. We couldn't have gotten to market so quickly without it.”
Runloop stops charging for CPU and memory while a devbox is suspended, so bursty agent workloads pay only for active time plus storage.
Runloop's suspend and resume and repo connections need the Pro plan at $250 a month plus usage, and deployment in your own cloud is Enterprise only.
Company Facts
- Headquarters
- San Francisco (Runloop)
- Employees
- 12 (July 2025) (Runloop)
- Total funding raised
- $7M seed (Runloop)
- Key investors
- The General Partnership, Blank Ventures (Runloop)
- Website
- runloop.ai
Key Leadership
Jonathan Wall
Founder and CEO
Methodology
This page is an independent evaluation of Runloop for buyers comparing options in AI agent sandboxes. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Runloop 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)
- Devbox tooling for coding agents
- Agent evaluation and benchmarks
- Enterprise deployment
- Pro plan entry price
- 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
Runloop is graded here as AI agent sandboxes. Criteria scores can move as more review volume and product checks are added.