E2B
automation
AI Agents
freemium
advanced setup
Last verified Mar 11, 2026Best 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
- pro
- Pay-as-you-go pricing based on compute hours and resource usage beyond free credits.
- free
- Free tier includes $100/month in credits for hobbyists and testing.
- annual
- Custom discounts available for enterprise annual commitments.
- enterprise
- Custom pricing for high-volume usage, dedicated infrastructure, and premium support.
⚠️ Pricing is subject to change. Always verify current pricing on the tool's official website before purchasing.
Free Tier
- storage
- Ephemeral storage per session
- features
- Standard sandbox access with community support
- requests
- Limited by $100 monthly credit pool
Integrations
AutoGPT
LangChain
LlamaIndex
Who Should Use This
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