Why Use a Sandbox
Running coding agents directly on your machine or servers means giving AI-generated code unrestricted access to your environment. E2B sandboxes solve this:- Isolation — agent-generated code runs in a secure sandbox, never touching your production systems or local machine
- Full dev environment — terminal, filesystem, git, and package managers are all available out of the box, so agents work like a developer would
- Pre-built templates — ready-made templates for popular agents get you started fast, and you can build your own for any agent
- Scalability — run many sandboxes in parallel, each with its own agent on a separate task
How It Works
- Create a sandbox — use a pre-built template or build your own with any agent installed
- Agent gets a full environment — terminal, filesystem, git access, and any tools installed in the template
- Agent works autonomously — it reads the codebase, writes code, runs tests, and iterates until the task is done
- Extract results — pull out the git diff, structured output, or modified files via the SDK. The sandbox stays available for follow-up work, or you can pause it to pick up later
Agent Examples
Since each sandbox is a full Linux environment, you can run any coding agent — just install it in a custom template. E2B also provides pre-built templates for popular agents to get you started quickly.
Claude Code
Anthropic’s autonomous coding agent with structured output and MCP tool support
Codex
OpenAI’s coding agent with schema-validated output and image input
Amp
Coding agent with streaming JSON and thread management
OpenCode
Open-source multi-provider agent with a built-in web UI
Related Guides
Git Integration
Clone repos, manage branches, and push changes from sandboxes
Sandbox Persistence
Pause and resume sandboxes to preserve state
Custom Templates
Build your own sandbox templates with custom tools and dependencies