Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.
E2B
Secure cloud sandbox infrastructure for running AI-generated code in isolated microVM environments. Agents execute untrusted code without risk to host systems. Supports Python, JavaScript, and other runtimes. SDK integrates with any LLM. Usage-based billing per second of sandbox runtime (~$0.05/hr for 1 vCPU). Free Hobby plan includes $100 credit; Pro at $150/month.
Solid choice for most workflows
You need to safely execute untrusted AI-generated code without risking your host infrastructure or dealing with local sandbox setup.
Sub-200ms cold starts, scales to thousands, reliable for coding agents/data analysis; usage-based billing ~$0.05/hr adds up for long runs.
Your agents require reproducible environments with SSH/PTY access and lifecycle hooks for debugging complex workflows.
Session-scoped sandboxes perfect for stateless tasks; excellent for computer-use agents but tears down after use—no native persistence.
E2B beats Modal for AI-specific agent sandboxes with microVM isolation and templates; Modal better for general serverless functions.
Pick E2B when building agents needing hardware-isolated code exec, SSH/PTY, or reproducible templates.
Pick Modal for non-AI workloads, persistent services, or simpler function-as-a-service without agent focus.
E2B for general code execution sandboxes; Browserbase for browser automation and web scraping.
Choose E2B when agents need full Linux envs for coding, data processing, or terminal tools.
Choose Browserbase when focused on headless browsers, Puppeteer/Playwright, or anti-detection web interactions.
BYOC limited to AWS Enterprise
Bring-your-own-cloud only on AWS for enterprise customers; no GCP/Azure yet—contact sales. Public cloud fine for most, but plan ahead for compliance needs.
Trust Breakdown
What It Actually Does
E2B gives AI agents secure virtual computers in the cloud to safely run code like Python or JavaScript without risking your systems. Sandboxes start in 150ms, support file handling and browsers, and scale for many users.[1][2][3][5]
Secure cloud sandbox infrastructure for running AI-generated code in isolated microVM environments. Agents execute untrusted code without risk to host systems. Supports Python, JavaScript, and other runtimes.
SDK integrates with any LLM. Usage-based billing per second of sandbox runtime (~$0.05/hr for 1 vCPU). Free Hobby plan includes $100 credit; Pro at $150/month.
Fit Assessment
Best for
- ✓code-execution
- ✓sandbox-environment
- ✓ai-agent-infrastructure
- ✓secure-computation
Not ideal for
- ✗session-timeout-after-1-hour-hobby-tier
- ✗concurrent-sandbox-limits-enforced-per-plan
Connection Patterns
Blueprints that include this tool:
Known Failure Modes
- session-timeout-after-1-hour-hobby-tier
- concurrent-sandbox-limits-enforced-per-plan
Score Breakdown
Protocol Support
Capabilities
Governance
- sandboxed-execution
- resource-limits
- permission-scoping
- audit-log