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
E2B offers a Hobby (Free) tier with a $100 one-time usage credit. The Pro plan costs $150/month plus usage-based billing. Enterprise plans are custom, with a minimum of $3,000/month. Usage is billed per second for compute resources.
Price last checked Oct 7, 2026 (automated estimate)
⚠️ Pricing is subject to change. Always verify current pricing on the tool's official website before purchasing.
Free Tier
$100 one-time usage credit, up to 100 sandbox hours/month, sessions up to 1 hour, 20 concurrent sandboxes, default sandbox CPU and RAM, and 10 GiB storage included.
Integrations
Who Should Use This
Developers building AI agents that need to execute code securely in isolated environments.
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