E2B Sandbox

Run AI-generated code in secure, isolated cloud sandboxes through JavaScript or Python SDKs.

Source repo
e2b-dev/E2B
Stars
★ 15k
Last updated
today
License
Apache-2.0
Primary language
Python

At a glance

How it runs
Library / SDKHosted serviceSelf-hosted service
Works with
Universal · cross-platform
Cost
Free tier plus a paid hosted plan
Setup effort
Low · running in minutes
You'll need
E2B API keyE2B JavaScript/TypeScript SDK or Python SDKShell / CLINetwork access
Typical use
A team building an LLM coding feature that needs an isolated cloud Sandbox for generated code execution.
Not a fit if
  • Teams that need fully offline or local sandboxes
  • Teams self-hosting on Azure or plain Linux machines
  • Users unwilling to sign up for an E2B API key

What does this agent do, and when should you use it?

E2B is open-source infrastructure for running AI-generated code in secure, isolated cloud sandboxes. Its JavaScript/TypeScript and Python SDKs create and control Sandbox instances. Applications can run commands in a sandbox and read standard output; code-execution workflows can use the separate Code Interpreter SDK and its runCode()/run_code() interface. The hosted flow uses an E2B API key, while the infrastructure can also be self-hosted with Terraform on AWS or Google Cloud.

An application installs the e2b package, configures E2B_API_KEY, and calls Sandbox.create() to create an isolated cloud sandbox. In JavaScript, it can call sandbox.commands.run('echo "Hello from E2B!"') and read result.stdout; Python uses the same commands.run() call inside a with Sandbox.create() context. With @e2b/code-interpreter or e2b-code-interpreter installed, an application can create its Sandbox, execute code with runCode()/run_code(), and read execution.text. For self-hosting, the documented E2B infrastructure is deployed with Terraform, with AWS and Google Cloud listed as supported providers.

  1. A team building an LLM coding feature that needs an isolated cloud Sandbox for generated code execution.
  2. A TypeScript service that runs commands such as echo and returns result.stdout to its caller.
  3. A Python backend that runs sandbox commands within a context manager and processes their output.
  4. A code-interpreter workflow that needs runCode() and execution.text for executed code.
  5. An infrastructure team that wants to deploy E2B infrastructure with Terraform on AWS or Google Cloud.

How do you install or deploy this agent?

For JavaScript/TypeScript, run npm i e2b. For Python, run pip install e2b. Sign up for E2B, obtain an API key, and set E2B_API_KEY=e2b_***. For code interpretation, install npm i @e2b/code-interpreter or pip install e2b-code-interpreter.

How do you use this agent?

In JavaScript/TypeScript, use import Sandbox from 'e2b', then run const sandbox = await Sandbox.create() and const result = await sandbox.commands.run('echo "Hello from E2B!"'); read result.stdout. In Python, use from e2b import Sandbox, run sandbox.commands.run('echo "Hello from E2B!") inside with Sandbox.create() as sandbox:, and read result.stdout. For code interpretation, use import { Sandbox } from '@e2b/code-interpreter', call await sandbox.runCode('x = 1; x += 1; x'), and read execution.text.

What are this agent's strengths and limitations?

Pros
  • Offers both JavaScript/TypeScript and Python SDKs with the same Sandbox.create() and commands.run() workflow.
  • Returns command output directly through result.stdout, making sandbox execution easy to integrate into application logic.
  • The separate Code Interpreter SDK exposes dedicated runCode()/run_code() and execution.text interfaces.
  • Self-hosted infrastructure is Terraform-based and explicitly supports AWS and Google Cloud.
Limitations
  • The hosted workflow requires E2B sign-up and an E2B API key.
  • The documented self-hosting support is limited to AWS and Google Cloud; Azure and general Linux machines are not marked as supported.
  • Code interpretation is not included in the main e2b package and requires a separate SDK installation.
  • The supplied material does not specify pricing, quotas, sandbox lifecycle behavior, or failure recovery.

How does this agent compare with similar options?

Key facts side by side with the most closely related agents.

Agent Source review Form / cost Stars Updated Language Full support on
E2B Sandbox This agent 52 · Major gaps Library / SDKFreemium ★ 15k today Python —
AgentQL Suite for Web Data Extraction and Automation 42 · Major gaps Library / SDKFreemium ★ 1.5k 3d ago Python —
SkillLite 60 · Some gaps CLIFree + model costs ★ 152 8d ago Rust —
Capsule Sandbox Runtime 52 · Major gaps CLIFree ★ 302 25d ago Rust —

How does FollowAgents rate this agent?

FollowAgents source review · FARS-2.1
Major gaps
52/ 100 5-point scale 2.6 / 5
This review covers the source as of Aug 09, 2026. The project has shipped 36 stable release(s) since, which have not been re-reviewed. The score and verdict describe the reviewed version only. Recent releases ↓
Trust 8/29
Reliability 9/14
Adaptability 12/18
Convention 12/18
Effectiveness 7/13
Verifiability 4/8
Why each dimension lost points
Trust8 / 29 · 1.4/5

Evidence shows: sandbox isolation design (least_privilege 1, isolation but not explicit least privilege); no user confirmation mechanism (0); limited data flow transparency (1, docs but not detailed); sensitive data handling with API key management (1); dependency security with overrides and lockfile (2); external effects with sandbox isolation (1); no rollback mechanism (0); source attribution with User-Agent test (1). Deductions: lack of user confirmation, rollback, and data flow transparency.

Reliability9 / 14 · 3.2/5

Evidence shows: good self-consistency (2, test coverage); dependency availability with lockfile (2); failure messages tested (2). Deductions: no execution verification, static review.

Adaptability12 / 18 · 3.3/5

Evidence shows: clear audience (developers) (2); capability boundaries documented (2); trigger precision with CLI argument validation (2); environment fit with cross-platform tests (2). Deductions: no major flaws.

Convention12 / 18 · 3.3/5

Evidence shows: clear information architecture (2); detailed install notes (2); stable naming (2); examples and FAQ present (2); known limitations partial (1, not explicitly listed); license complete (3); versioning with changeset (2); maintenance responsibility with GitHub Actions (2). Deductions: known limitations not explicit.

Effectiveness7 / 13 · 2.7/5

Evidence shows: output usability with JSON format (2); high marginal value (2); cost-benefit not explicit (1). Deductions: cost-benefit not quantified.

Verifiability4 / 8 · 2.5/5

Evidence shows: claims traceable (2, docs and code correspond); cross-source corroboration limited (1, only internal tests); fact-inference separation (2). Deductions: lack of external verification.

Risks and how to mitigate them
  • Not found in source: confirmation before actingTurn on (or add) a confirmation step before it acts, and try it in a sandbox or test environment before real data.
  • Not found in source: rollback or recovery pathBack up first, or work on a git branch or snapshot, so its changes can be undone.
  • Publisher identity unverified, supply chain risk should be considered.
  • Static review without execution, security and reliability need further validation.
  • Lack of user confirmation and rollback mechanisms may affect enterprise adoption.
Evidence confidence: Low Reviewed Aug 09, 2026 Reviewed revision cab27aa6fabd New commits since this review; the score may not cover them
See the full review method →

Recent releases

Latest entries from the project's GitHub Releases. Notes are quoted from upstream as written, not rewritten or tested by FollowAgents.

  1. Release notes excerpt
    Minor Changes - a8155c4: Add strict to pause() (default false). With strict: true / strict=True a pause is refused with ServiceBusyError / ServiceBusyException while the sandbox's guest agent does not respond, and the sandbox keeps running. Without it the API's default applies: the memory snapshot is taken anyway and marked. Sandbox info exposes the mark as envdUnresponsiveAtPause / envd_unresponsive_at_pause, and resuming such a sandbox without onResume: 'reboot' / on_resume="reboot" now throws GuestUnresponsiveError / GuestUnresponsiveException.
    View on GitHub ↗
  2. Release notes excerpt
    Patch Changes - Updated dependencies [a8155c4] - @e2b/[email protected]
    View on GitHub ↗
  3. [email protected]
    Release notes excerpt
    Minor Changes - a8155c4: Add strict to pause() (default false). With strict: true / strict=True a pause is refused with ServiceBusyError / ServiceBusyException while the sandbox's guest agent does not respond, and the sandbox keeps running. Without it the API's default applies: the memory snapshot is taken anyway and marked. Sandbox info exposes the mark as envdUnresponsiveAtPause / envd_unresponsive_at_pause, and resuming such a sandbox without onResume: 'reboot' / on_resume="reboot" now throws GuestUnresponsiveError / GuestUnresponsiveException.
    View on GitHub ↗

FAQ

Do I need an API key?
Yes. The documented example requires signing up and setting E2B_API_KEY=e2b_***.
What workloads can it run?
The supplied material explicitly demonstrates sandbox commands and code execution through the separate Code Interpreter SDK; it does not provide a complete language or system-tool matrix.
Can it be self-hosted?
Yes. The infrastructure can be self-hosted with Terraform, with AWS and Google Cloud listed as supported providers.
Are Azure or general Linux machines supported?
Neither Azure nor General Linux machine is checked in the supplied supported-provider list.
What are the pricing and quota limits?
The supplied material does not state pricing, quotas, or billing details.
View on GitHub ↗ Install ↓

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