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InfraE2B

E2B

Secure cloud sandboxes for running AI-generated code.

Category
Infra
Pricing
FREEMIUM
Source
Open core
Hosting
Hybrid
Platforms
APICLI
Models
Model-agnostic
Verified
Jun 7, 2026

Open-source infrastructure that spins up isolated cloud sandboxes so AI agents can execute generated code safely. Python and JS/TS SDKs cover code interpretation, data analysis, and computer-use desktops, with per-second billing. Self-host or BYOC/on-prem is supported for enterprise.

Capabilities 2

What it actually does — grouped by capability family.

  • Sandboxed code execution (primary capability)
  • Browser automation (secondary capability)

Pros & cons

  • Firecracker microVM hardware isolation
  • Stateful sessions across agent turns
  • Sub-second cold starts
  • Large catalog of community templates
  • Open-source SDK
  • No native GPU sandboxes (vs Modal)
  • Daytona quotes faster cold starts
  • Per-second billing adds up at scale
  • Narrower than full infra platforms

Tags

Further reading

Alternatives to E2B (4)

View all Infra →
  • View Daytona details
    InfraFREEMIUMOpen core

    Daytona

    Daytona

    Secure, elastic sandboxes for running AI-generated code.

    Infrastructure for executing AI-generated code in isolated sandboxes — each a full composable computer with a dedicated kernel, filesystem, network stack, and allocated CPU, RAM, and disk. Sandboxes start in under 90ms, snapshot for persistence, and are driven programmatically through SDKs (Python, TypeScript, Ruby, Go, Java), an API, and a CLI. AGPL-3.0 and available as a managed service, self-hosted stack, or hybrid where you bring your own compute.

    Sub-100ms sandbox start
    AGPL-3.0 may deter some
    • sandbox
    • code-execution
    • agents
    • infrastructure
    • +1
    Open
  • View Modal details
    InferenceFREEMIUM

    Modal

    Modal Labs

    Serverless GPUs. Run training, inference, batch jobs from Python.

    Define cloud workloads in Python, deploy with one command — GPU access on demand, fast cold starts, fair-share pricing. The default 'I need to fine-tune a model from a Jupyter cell' platform.

    Python-decorator infra, no YAML/Dockerfiles
    SDK lock-in; migrating means rewriting
    • gpu
    • serverless
    • python
    • training
    Open
  • View Browserbase details
    InfraFREEMIUM

    Browserbase

    Browserbase

    Headless browser infrastructure for AI agents.

    Managed cloud fleet of headless browsers that let AI agents browse, authenticate, and act on the web at scale. Sessions ship with stealth proxies, automated CAPTCHA solving, and observability, driven via API or the open-source Stagehand framework. Usage-based billing on top of a monthly base plan.

    Managed fleet scales to many sessions
    Usage-based cost on a monthly base
    • browser-automation
    • agents
    • headless-browser
    • web-scraping
    Open
  • View Beam details
    InfraFREEMIUM

    Beam

    Beam

    On-demand serverless GPU compute for AI, from Python.

    A serverless cloud for deploying AI inference endpoints, agent sandboxes, task queues, and containerized GPU workloads with a few lines of Python. It handles fast cold starts, autoscaling, and Docker-in-Docker execution across multiple cloud backends, and supports bring-your-own-compute. The Developer tier is free with recurring monthly credit; paid tiers add team features and scale, billed pay-as-you-go by GPU usage.

    Define GPU workloads in pure Python
    Smaller ecosystem than hyperscalers
    • gpu
    • serverless
    • python
    • inference
    • +1
    Open
Open E2B