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E2B
Cloud sandbox company with roots in Prague and San Francisco that gives each AI agent session its own isolated microVM for running code, browsers, and desktops.
Teams building coding agents, data analysis features, computer-use agents, or reinforcement learning pipelines that need secure, fast sandboxes through one SDK.
Teams that need long-running sessions on a free plan, or buyers with small budgets who want enterprise deployment options.
Verdict
E2B is worth using for teams that need a proven sandbox for AI agents to run code and use computers safely. Its open-source runtime and own-cloud option suit enterprises with strict data rules. Small teams should check the session and concurrency limits on the free tier.
Score Breakdown
How E2B scores in the categories that matter to its buyers.
Pricing
E2B publishes plan prices plus per-second usage rates for running sandboxes.
| Plan | Price | What stands out |
|---|---|---|
| Hobby | Free + usage | $100 one-time credit, sessions up to 1 hour, 20 concurrent sandboxes |
| Pro | $150 / month + usage | Sessions up to 24 hours, 100 concurrent sandboxes (600 for +$500, 1,100 for +$1,000 a month) |
| Enterprise | Custom, $3,000 / month minimum | Multi-day sessions, custom sizes, deployment in your cloud |
| Usage | $0.000028 / second for the default 2 vCPUs | About $0.10 an hour; billed per second |
The Field at a Glance
How E2B compares with other AI agent sandboxes vendors we reviewed, by Overall Score and relative typical engagement cost.
E2B scores 8.0 in AI agent sandboxes, under Northflank (8.1), and ahead of Daytona (7.9), Runloop (7.7), and Freestyle (7.6). Relative cost lands mid-band for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Isolated microVM per session | Strong | Each agent session gets its own Linux machine. |
| Code interpreter and desktop | Strong | SDKs cover code execution and computer use. |
| Own-cloud deployment | Strong | Runs in AWS, GCP, or Azure accounts. |
| Open-source runtime | Strong | The runtime is Apache-2.0. |
| Free tier sessions | Mixed | Hobby sessions stop at one hour. |
| Small-team enterprise access | Weak | Enterprise has a $3,000 monthly minimum. |
Who it’s for
Good fit
- Coding agent startups
- AI labs running evaluations and RL
- Enterprises needing sandboxes in their own cloud
Poor fit
- Hobbyists needing long sessions
- Teams with tiny budgets wanting enterprise terms
- Workloads without untrusted code
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.
E2B says Hugging Face and LMArena use it to run research across tens of thousands of concurrent machines, and that Perplexity and Lindy ship agent features on it.
E2B's sandbox runtime is open source under Apache-2.0, and the same SDK and API run in E2B's cloud or inside a customer's AWS, GCP, or Azure account.
E2B's free Hobby tier caps sessions at one hour and 20 concurrent sandboxes, Pro costs $150 a month before usage, and Enterprise requires a $3,000 monthly minimum.
Company Facts
Key Leadership
Vasek Mlejnsky
Co-founder and CEO
Methodology
This page is an independent evaluation of E2B for buyers comparing options in AI agent sandboxes. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. E2B 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)
- Sandbox isolation and speed
- SDK and agent integrations
- Run in your own cloud
- Entry price for teams
- 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
E2B is graded here as AI agent sandboxes. Criteria scores can move as more review volume and product checks are added.