e2b-dev/e2b-cookbook
📦 Open Source Projecte2b-dev
A comprehensive collection of code examples and guides for building AI agents with E2B sandboxed environments.
The e2b-cookbook serves as the primary educational resource for the E2B ecosystem, a platform designed to provide AI agents with secure, isolated cloud environments. This repository contains a wide array of TypeScript and Python examples that illustrate how to bridge the gap between LLM reasoning and actual execution. Key features include tutorials on setting up sandboxes, executing arbitrary code, installing dependencies, and managing long-running agent processes. By providing ready-to-use patterns, the cookbook enables developers to implement features like 'Code Interpreter' functionality, automated data visualization, and web scraping within their own AI agents. It is an essential resource for those looking to move beyond simple text generation and build agents capable of performing complex, multi-step tasks in a controlled, ephemeral environment.
💡Highlights
- ├─Practical code execution patterns
- ├─Secure cloud sandbox integration
- └─Multi-language agent examples
🎯For
- ├─AI Engineers
- └─Agent Developers