E2B
Best For
Developers building AI agents that need to execute code securely in isolated environments.
Not Ideal For
Non-technical users or those looking for a no-code automation platform.
Pros & Cons
- Provides secure sandboxed environments for LLM code execution
- Open-source core allows for high transparency and self-hosting
- Supports long-running processes and stateful sessions
- Extremely low latency for starting new sandboxes
- Language agnostic, supporting Python, JS/TS, and more
- Requires significant coding knowledge to implement
- Documentation can be technical and geared toward senior devs
- Infrastructure costs can scale quickly for high-volume agentic workflows
Key Features
Code Interpreter SDK
A dedicated SDK to give LLMs the ability to run Python, JS, and R code in a secure sandbox.
Sandboxed Cloud Environments
Isolated micro-VMs that start in milliseconds to execute untrusted code safely.
Custom Sandboxes
Ability to define custom Docker-like environments with specific libraries and tools pre-installed.
Stateful Sessions
Maintains the state of the environment across multiple LLM interactions for complex tasks.
Real-time Streaming
Stream stdout, stderr, and chart outputs directly from the sandbox to the end-user.
Pricing Breakdown
Free: 100 sandbox min/mo · Developer $29/mo · Team $99/mo · Enterprise: Custom
Pricing verified Aug 6, 2026
⚠️ Pricing is subject to change. Always verify current pricing on the tool's official website before purchasing.
Free Tier
100 sandbox minutes and 100 tool calls per month.
Integrations
Who Should Use This
Developers building AI agents that need to execute code securely in isolated environments.
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