---
title: Ecosystem
product: vercel
url: /docs/sandbox/ecosystem
canonical_url: "https://vercel.com/docs/sandbox/ecosystem"
last_updated: 2026-09-23
type: conceptual
prerequisites:
  - /docs/sandbox
related:
  - /docs/sandbox/sdk-reference
  - /docs/ai-gateway
  - /docs/sandbox/ecosystem/langchain
  - /docs/sandbox/ecosystem/openai-sdk
  - /docs/sandbox/ecosystem/anthropic-sdk
summary: Use Vercel Sandbox with the agent frameworks, model SDKs, and coding agents you already work with.
install_vercel_plugin: npx plugins add vercel/vercel-plugin
---

# Ecosystem

Vercel Sandbox integrates with the agent frameworks, model SDKs, and coding
agents you already use. Run a coding agent or give your agent a code execution
tool inside an isolated Firecracker microVM.


<!-- docsgraph:related -->
## Related pages

> **For AI agents:** Follow these links to understand how this page connects to the rest of the Vercel ecosystem. For the full cross-link map (inbound, outbound, prerequisites, and semantic neighbors), see the .graph.md link below.

- [Building an agent with OpenAI Agents SDK and Vercel Sandbox](https://vercel.com/kb/guide/building-an-agent-with-openai-agents-sdk-and-vercel-sandbox?from=related&source_path=%2Fdocs%2Fsandbox%2Fecosystem&source_site=vercel-docs&relationship=related) — Learn how to build an agent with with OpenAI Agents SDK and Vercel Sandbox
- [Using TanStack AI with Vercel Sandbox](https://vercel.com/kb/guide/tanstack-ai-vercel-sandbox?from=related&source_path=%2Fdocs%2Fsandbox%2Fecosystem&source_site=vercel-docs&relationship=related) — Run coding agents in isolated Vercel Sandbox microVMs with the @tanstack/ai-sandbox-vercel provider, with durable resume
- [Run untrusted code with Vercel Sandbox, now generally available](https://vercel.com/blog/vercel-sandbox-is-now-generally-available?from=related&source_path=%2Fdocs%2Fsandbox%2Fecosystem&source_site=vercel-docs&relationship=related)
- [How to run Herdr coding agents in isolated Vercel Sandboxes](https://vercel.com/kb/guide/run-herdr-coding-agents-isolated-vercel-sandboxes?from=related&source_path=%2Fdocs%2Fsandbox%2Fecosystem&source_site=vercel-docs&relationship=related) — Install the vercel.sandbox plugin for Herdr, approve an upload manifest, run each AI coding agent in its own isolated Ve
- [Run Python code securely with AI SDK and Vercel Sandbox](https://vercel.com/kb/guide/python-ai-sdk-vercel-sandbox?from=related&source_path=%2Fdocs%2Fsandbox%2Fecosystem&source_site=vercel-docs&relationship=related) — Add an \\`executeCode\\` tool to your AI SDK agent with the \\`ai-sdk-tool-code-execution\\` package to run Python 3.13 insi
- [Running OpenCode securely with the Vercel Sandbox](https://vercel.com/kb/guide/running-opencode-securely-with-the-vercel-sandbox?from=related&source_path=%2Fdocs%2Fsandbox%2Fecosystem&source_site=vercel-docs&relationship=related) — Run OpenCode in an isolated Vercel Sandbox MicroVM with controlled egress, using the SDK to restrict network access so t

Full cross-link map for this page: [/docs/sandbox/ecosystem.graph.md](/docs/sandbox/ecosystem.graph.md?from=related&source_path=%2Fdocs%2Fsandbox%2Fecosystem&source_site=vercel-docs&relationship=graph)
<!-- /docsgraph:related -->

## Framework and SDK integrations

The LangChain, OpenAI SDK, and Anthropic SDK guides define a `run_code`
tool backed by
[`sandbox.runCommand()`](/docs/sandbox/sdk-reference#sandbox.runcommand),
pass it to the framework's tool-calling loop, and return the command output
to the model. Model requests route through [AI Gateway](/docs/ai-gateway),
while Vercel credentials authenticate the sandbox.

TanStack AI uses a dedicated Sandbox provider to run coding agents with
workspace configuration and policies.

| Integration                                            | Type            | Use case                                    |
| ------------------------------------------------------ | --------------- | ------------------------------------------- |
| [LangChain](/docs/sandbox/ecosystem/langchain)         | Agent framework | Agents with a sandboxed code execution tool |
| [OpenAI SDK](/docs/sandbox/ecosystem/openai-sdk)       | Model SDK       | Function calling through the Responses API  |
| [Anthropic SDK](/docs/sandbox/ecosystem/anthropic-sdk) | Model SDK       | Tool use through the Messages API           |
| [AI SDK](/docs/sandbox/working-with-sandbox)           | AI SDK          | Tool calling with the AI SDK                |
| [TanStack AI](/docs/sandbox/ecosystem/tanstack-ai) | Agent framework | Coding agents with sandboxed workspaces |

## Hosted agent APIs

Build a [v0-style app builder](/kb/guide/v0-clone-openai-agents-vercel-sandbox)
that turns a prompt into a Next.js app with a live preview. Users can refine
the app through follow-up messages.

OpenAI Agents API manages the agent session, while Vercel Sandbox provides
an isolated workspace to edit files and run the app. These integrations use
the provider's API credentials.

| Integration | Type | Use case |
| --- | --- | --- |
| [OpenAI Agents API](/docs/sandbox/ecosystem/openai-agents-api) | Hosted agent API | OpenAI-managed sessions with Sandbox execution and persistent files |

## Content and storage

These integrations give an agent a filesystem view of a content or object
store, so it reads and writes through standard file operations instead of
calling a storage API. The files live in the provider, not the sandbox. That
means the provider's permissions decide what the agent can open, and the
agent's work is still there after the sandbox is deleted.

| Integration                                    | Type             | Use case                                              |
| ---------------------------------------------- | ---------------- | ----------------------------------------------------- |
| [Box Mount](/docs/sandbox/ecosystem/box-mount) | Content platform | Agents reading and writing Box content as local files |

## Coding agents

| Integration                            | Type          | Use case                                    |
| -------------------------------------- | ------------- | ------------------------------------------- |
| [Cursor](/docs/sandbox/ecosystem/cursor) | Coding agent | Cursor Cloud Agents on Self-Hosted Machines |
| [Devin](/docs/sandbox/ecosystem/devin) | Coding agent  | Devin Outposts sessions in Sandbox microVMs |
| [Herdr](/docs/sandbox/ecosystem/herdr) | Agent manager | Terminal coding agents in persistent Sandboxes |
| [Hermes](/docs/sandbox/ecosystem/hermes) | Coding agent | Hermes terminal commands in Sandbox microVMs |

## Eval harnesses

| Integration                              | Type         | Use case                                        |
| ---------------------------------------- | ------------ | ------------------------------------------------ |
| [Harbor](/docs/sandbox/ecosystem/harbor) | Eval harness | Terminal-Bench and benchmark trials in Sandbox microVMs |


---

[View full sitemap](/docs/sitemap)
