E2B: Secure AI Code Sandbox for Agents May 2026
Last updated: 2026-06-01
E2B provides secure Firecracker sandboxes for AI agents to execute untrusted code. 150ms cold start, Python/JS SDKs. Free tier, Pro $150/month. 88% Fortune...
E2B is an enterprise sandbox platform for AI agents to execute untrusted code securely using Firecracker microVMs with 150ms cold start. Supports Python, JavaScript, Ruby, Go, C++. Free tier with $100 credit; Pro $150/month. 88% of Fortune 100 companies use E2B for production AI agent deployments.
About E2B
E2B is an enterprise-grade cloud sandbox platform that enables AI agents and applications to safely execute untrusted code in isolated microVirtual Machines (microVMs). Founded in 2023 and backed by $21M Series A funding from Insight Partners (July 2025), E2B is now trusted by 88% of Fortune 100 companies for secure code execution in production AI systems. The platform uses Firecracker (AWS's container-optimized hypervisor) to provide kernel-level isolation with sub-200ms cold start times. E2B sandboxes support multiple programming languages including Python, JavaScript/TypeScript, Ruby, Go, and C++. Developers can execute AI-generated code with guaranteed safety: even malicious code running inside a sandbox cannot escape to the host system or other user sandboxes. This architecture is critical for applications like coding copilots, data analysis tools, and autonomous agents that need to execute user-generated or AI-generated code. E2B provides production-grade SDKs in Python and JavaScript with the Code Interpreter SDK for integrating code execution into AI applications. In October 2025, Docker partnered with E2B, giving every sandbox access to Docker's MCP Catalog with 200+ integrated tools (GitHub, Perplexity, Browserbase, ElevenLabs, and more). The platform supports persistent sandboxes (up to 24 hours on Pro tier), custom Docker-based templates, and comprehensive logging and monitoring. Deployment options include E2B's managed cloud service or Bring Your Own Cloud (BYOC) for running sandboxes in customer AWS VPCs. Pricing is flexible with a free Hobby tier ($100 usage credit, 1-hour sessions, 20 concurrent sandboxes), Pro tier at $150/month (24-hour sessions, 100 concurrent sandboxes), and per-second usage billing at approximately $0.05/hour per vCPU. Enterprise plans include custom pricing, BYOC, and on-premises deployment with $3,000/month minimum.
Screenshots
Pricing
Hobby (Free): $100 usage credit, 1-hour sessions, 20 concurrent sandboxes. Pro: $150/month base with 24-hour sessions and 100 concurrent sandboxes. Usage-based billing at approximately $0.05/hour per vCPU (only charged when code is running). Enterprise: Custom pricing with $3,000/month minimum for BYOC, on-premises, or advanced features.
Feature Comparison by Tier
| Feature | Pro | Hobby | Enterprise |
|---|---|---|---|
| Sandbox runtime (Python/JS) | ✓ | ✓ | ✓ |
| Concurrent sandboxes | 50 | 2 | Custom |
| Max sandbox lifetime | 24 hrs | 1 min | Custom |
| Custom Docker images | ✓ | — | ✓ |
| SOC 2 compliance | — | — | ✓ |
Key Features
- Firecracker-Based Isolation: Hardware-level kernel isolation using AWS Firecracker microVMs ensures untrusted code cannot escape to host or other sandboxes, with cold starts reaching 150 milliseconds.
- Multi-Language Code Execution: Execute Python, JavaScript/TypeScript, Ruby, Go, C++, and more in the same platform with pre-installed package managers and dependency support.
- Code Interpreter SDK: Production SDKs for Python and JavaScript enable seamless integration of code execution into AI applications, agent frameworks, and developer tools.
- Docker Integration & MCP Catalog: October 2025 partnership with Docker provides 200+ pre-built integrations (GitHub, Perplexity, Browserbase, ElevenLabs) plus custom Docker-based template creation.
- Persistent Sessions & Customization: Pro tier supports 24-hour sandbox sessions with custom Docker templates for pre-configured environments and dependencies per use case.
- Enterprise Flexibility: Bring Your Own Cloud (BYOC) allows sandboxes to run in customer AWS VPCs, while on-premises and self-hosted options available for regulated industries.
Pros
- Firecracker microVM isolation with 150ms cold start and kernel-level security makes E2B the fastest, most secure sandbox platform for executing untrusted code at scale.
- 88% of Fortune 100 companies already use E2B, validating production-grade reliability and enterprise credibility for mission-critical AI agent deployments.
- Open-source core and flexible deployment options (cloud, BYOC, on-premises) eliminate vendor lock-in while supporting regulated industries needing data control.
Cons
- Session duration limits even on Pro tier (24 hours) incompatible with long-running persistent agents or continuous background processes requiring infinite uptime.
- Concurrency ceiling of 100 sandboxes on Pro tier insufficient for massive-scale deployments; reaching higher concurrency requires enterprise contracts with unpredictable pricing.
- Network latency on every sandbox interaction (50-200ms per round-trip) adds cumulative overhead for agent workflows requiring many sequential code execution steps.
Product Information
- Cloud
- Yes
- Self-Hosted
- Yes
- On-Premise
- No
- Languages
- English
- Training
- Documentation (e2b.dev/docs), Python SDK, JavaScript SDK, Community Discord
Frequently Asked Questions
What is E2B and how does it work?
E2B is a secure cloud sandbox platform that enables AI agents and applications to safely execute untrusted code in isolated microVirtual Machines using Firecracker (AWS's hypervisor). The platform provides kernel-level isolation so malicious code cannot escape to the host or other sandboxes. E2B supports Python, JavaScript/TypeScript, Ruby, Go, C++, and more with fast 150ms cold starts and production-grade SDKs.
How much does E2B cost?
E2B offers a free Hobby tier with $100 usage credit, 1-hour sessions, and 20 concurrent sandboxes (no credit card required). The Pro tier costs $150/month and includes 24-hour sessions, 100 concurrent sandboxes, and custom Docker templates. Usage is billed per second at approximately $0.05/hour per vCPU. Enterprise plans include custom pricing starting at $3,000/month for BYOC, on-premises, or advanced features.
What programming languages does E2B support?
E2B supports multiple programming languages including Python, JavaScript/TypeScript, Ruby, Go, and C++. Sandboxes come with pre-installed package managers (pip, npm, cargo, etc.) and can execute complex code with full dependency support. Developers can also create custom Docker-based templates to pre-configure environments with specific libraries and tools.
Is E2B free to use?
Yes, E2B offers a free Hobby tier that includes $100 in usage credit, 1-hour sandbox sessions, and 20 concurrent sandboxes with no credit card required. The free tier is suitable for development and prototyping. For production use with longer sessions and higher concurrency, the Pro tier starts at $150/month plus per-second usage billing.
What are the best alternatives to E2B?
Top alternatives include Daytona (persistent development environments), Modal (scalable cloud functions with Python support), Northflank (microVM and container sandboxes), Vercel Sandbox (ephemeral microVMs, still in beta), and Beam (serverless GPU-enabled container execution). Choose Daytona for persistent long-running agents. Choose Modal for auto-scaling, cost-efficient execution. Choose Northflank for control and multi-container orchestration.
Who should use E2B?
E2B is ideal for AI agent startups building production coding copilots, data analysis tools, and autonomous systems; enterprise platform teams implementing secure code execution infrastructure; and regulated companies (healthcare, finance) needing SOC 2 and HIPAA-compliant sandboxes. It's less suitable for solo developers, persistent agent workloads exceeding 24 hours, or budget-constrained teams.
Does E2B have an API and integrations?
Yes, E2B provides REST APIs and SDKs in Python and JavaScript for creating and managing sandboxes. October 2025 Docker partnership includes 200+ pre-built integrations via Docker MCP Catalog (GitHub, Perplexity, Browserbase, ElevenLabs, etc.). E2B also integrates with Slack, Discord, and works with AI frameworks like OpenAI and Anthropic Claude via tool-calling interfaces.
Top Alternatives
- Replit: Pick Replit for a full cloud IDE with human-facing deployment; pick E2B when AI agents need ephemeral, isolated code execution environments that spin up in milliseconds.
- Cursor: Choose Cursor for IDE-first AI coding; choose E2B when the goal is giving your AI agent a sandboxed execution layer that runs and verifies code programmatically.