E2B
e2b.dev- Category
- AI Agents
- Rank
- No. 42Tools index
- Pricing
- Freemium
- Platform
- web · cli
- Type
- TOOL
- Builder
- e2b-dev
- GitHub
- 13.4k stars
- Latest release
- e2b@2.39.0
- Added
- Jul 4, 2026
About
E2B is an enterprise AI agent cloud that provides secure sandbox environments for running AI-generated code and agents in isolated, real-world containers. It lets developers and companies deploy AI agents with access to virtual computers, file systems, and real tools without security risks. Used by teams at Perplexity, Manus, Hugging Face, and Groq to power advanced data analysis, computer use agents, and compound AI systems.
What it does
E2B gives applications disposable cloud workspaces controlled through Python or JavaScript. A program creates or reconnects to a sandbox, then manages commands, files, terminals, Git operations, networking, snapshots, and persistent volumes through an SDK.
Why it's ranked here
The project offers a broad control surface instead of a thin command runner. Synchronous and asynchronous Python clients, dual-format JavaScript builds, a template CLI, typed errors, snapshots, network rules, and volumes make it credible infrastructure for applications that need repeatable remote execution.
What's good
The SDKs expose practical operating primitives, including command output, filesystem events, Git status, terminal sessions, sandbox metrics, pagination, and volume metadata. JavaScript ships ESM and CommonJS builds with declarations. Python supports both synchronous and asynchronous workflows. API errors map authentication and rate limits into distinct error types.
Tradeoffs
Hosted use requires an account and API key. Code interpretation comes through separate packages rather than the base SDK. Self-hosting uses Terraform and currently supports AWS and Google Cloud, while Azure and general Linux machines are listed as unsupported. Some specification fetching can depend on access to a private repository.
How to use it well
Use E2B when an agent or backend must execute commands, modify files, use Git, or preserve data in remotely managed workspaces. Build reusable environments through templates, then control instances from Python or JavaScript. Choose the separate code-interpreter package when evaluated code results are the main requirement. It does not supply the language model itself.
Technical notes+
The root Makefile generates both SDKs from pinned API, environment-daemon, and volume specifications, with tracked-spec fallbacks when fetching fails. packages/js-sdk/tsdown.config.ts emits ESM, CommonJS, source maps, and declarations targeting ES2017. packages/cli/tsdown.config.ts builds a Node 20 CommonJS executable, while packages/cli/vitest.config.ts includes tests under tests/**/*.test.ts. packages/js-sdk/src/sandbox/index.ts composes Connect RPC transport with command, filesystem, PTY, Git, snapshot, fork, and MCP-gateway behavior. packages/js-sdk/src/api/index.ts validates API-key shape and maps HTTP 401 and 429 responses to dedicated errors. packages/python-sdk/e2b/__init__.py exports synchronous and asynchronous sandboxes, templates, paginators, volumes, filesystem watches, commands, snapshots, networking, Git, and MCP types.
Observed
- Primary languages
- TypeScript and Python
- Install surface
- Published as the e2b package for npm and PyPI; code interpretation uses separate JavaScript and Python packages
- Interfaces
- JavaScript SDK, Python SDK, and Node.js CLI
- JavaScript packaging
- SDK builds ESM and CommonJS outputs with TypeScript declarations
- Python interface
- Provides synchronous and asynchronous sandbox, template, paginator, and volume APIs
- Self-hosting platforms
- Terraform deployment supports AWS and Google Cloud; Azure and general Linux are listed as unsupported
- Testing structure
- CLI Vitest configuration includes tests matching tests/**/*.test.ts
Read from README.md, Makefile, package.json, packages/cli/tsdown.config.ts, packages/cli/vitest.config.ts, packages/python-sdk/example.py, packages/js-sdk/tsdown.config.ts, packages/cli/src/index.ts, packages/js-sdk/src/index.ts, packages/python-sdk/e2b/__init__.py, packages/cli/src/config/index.ts, packages/js-sdk/src/api/index.ts, packages/cli/src/commands/index.ts, packages/js-sdk/src/volume/index.ts, packages/js-sdk/src/sandbox/index.ts.
What it can do
Execute AI-generated code in isolated containers
AI-generated code snippets or scripts → Code execution results in a secure sandbox environment
Provision virtual cloud sandboxes for AI agents
Agent configuration and runtime requirements → Isolated virtual machine instance with file system and tools
Run data analysis workloads via AI agents
Datasets and natural language analysis instructions → Analysis results, charts, or processed data files
Deploy computer use agents with access to virtual desktops
Agent instructions and target task definition → Completed desktop interactions and task outputs
Integrate AI agents with real-world tools and file systems
Agent code and tool or file system access requests → Tool execution results and modified or generated files
Sandbox untrusted LLM-generated code before execution
Untrusted or LLM-produced code → Safe execution output without risk to host infrastructure
Orchestrate compound AI systems across multiple agents
Multi-agent workflow definitions and model configurations → Coordinated agent outputs and combined task results
Tags
Tech Stack
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Indexed by a proprietary survey. Corrections welcome.