> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mesa.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Superserve

> Use Mesa with Superserve sandboxes for securely running agent harnesses in production.

[Superserve](https://superserve.ai/) provides sandboxes powered by Firecracker microVMs and optimized to run agent harnesses in production. This guide shows the full end-to-end flow: use the Mesa SDK outside the sandbox to set up resources, then use the Superserve SDK to configure and mount Mesa inside the sandbox.

The general flow for any sandbox integration is:

1. **Outside the sandbox** — use the Mesa SDK (TypeScript or Python) to create repos, sign a short-lived access token, and orchestrate your workflow.
2. **Inside the sandbox** — install the `mesa` CLI, configure it with a short-lived access token, and run `mesa mount --daemonize` to mount your repos as local directories.
3. **Run your agent** — `cd` into the mount path and launch your agent (e.g. Claude Code, Codex, or a custom agent). Any file edits are automatically persisted back to Mesa.

For details on FUSE setup, system dependencies, and container configuration, see [POSIX Mount](/content/mesafs/posix-mount).

## Sandbox setup

Superserve sandboxes run on a FUSE-enabled kernel, and the Mesa installer apt-installs `fuse3` as a dependency, so the standard Mesa install script works on every Superserve template out of the box. Because Superserve sandboxes are full Firecracker microVMs, you don't need `user_allow_other` or `chmod 666 /dev/fuse`.

<CodeGroup>
  ```typescript TypeScript theme={null}
  import { Sandbox } from "@superserve/sdk";
  import { Mesa } from "@mesadev/sdk";

  const mesa = new Mesa({ apiKey: process.env.MESA_API_KEY });

  // --- Outside the sandbox: set up Mesa resources ---

  // Create a repo (or use an existing one)
  const repo = await mesa.repos.create({ name: "agent-workspace" });

  // Sign a scoped, self-expiring access token for the sandbox. Signed locally
  // from your API key with no network call — your API key never enters the sandbox.
  const { token } = await mesa.tokens.create({
    scopes: ["read", "write"],
    repos: ["my-org/agent-workspace"],
    ttl_seconds: 3600, // 1 hour
  });

  // --- Inside the sandbox: install and mount Mesa ---

  const sandbox = await Sandbox.create({ fromTemplate: "superserve/base" });

  // Install the Mesa CLI. The installer apt-installs fuse3 as a dependency.
  await sandbox.commands.run(
    "curl -fsSL https://mesa.dev/install.sh | sh -s -- --yes"
  );

  // Start Mesa as a background daemon. MESA_ORG and MESA_API_KEY are read
  // from the environment — never persisted to disk.
  await sandbox.commands.run("mesa mount -d", {
    env: {
      MESA_ORG: "my-org",
      MESA_API_KEY: token,
    },
  });

  // --- Run your agent ---

  await sandbox.commands.run(
    'cd ~/.local/share/mesa/mnt/my-org/agent-workspace \
      && claude "Implement the feature described in TODO.md"'
  );
  ```

  ```python Python theme={null}
  import os
  from mesa_sdk import Mesa

  # --- Outside the sandbox: set up Mesa resources ---
  mesa = Mesa(api_key=os.environ["MESA_API_KEY"])

  # Create a repo (or use an existing one)
  repo = await mesa.repos.create(name="agent-workspace")

  # Sign a scoped, self-expiring access token for the sandbox. Signed locally
  # from your API key with no network call — your API key never enters the sandbox.
  minted = await mesa.tokens.create(
      scopes=["read", "write"],
      repos=["my-org/agent-workspace"],
      ttl_seconds=3600,  # 1 hour
  )

  # --- Inside the sandbox: run these with Superserve's Python command runner ---
  # Install the Mesa CLI. The installer apt-installs fuse3 as a dependency.
  install_cmd = "curl -fsSL https://mesa.dev/install.sh | sh -s -- --yes"

  # Start Mesa as a background daemon. MESA_ORG and MESA_API_KEY are read
  # from the environment — never persisted to disk.
  mount_cmd = "mesa mount -d"
  mount_env = {"MESA_ORG": "my-org", "MESA_API_KEY": minted.token}

  # --- Run your agent ---
  agent_cmd = 'cd ~/.local/share/mesa/mnt/my-org/agent-workspace && claude "Implement the feature described in TODO.md"'
  ```

  ```bash CLI theme={null}
  # Install the Mesa CLI. The installer apt-installs fuse3 as a dependency.
  curl -fsSL https://mesa.dev/install.sh | sh -s -- --yes

  # Start Mesa as a background daemon. MESA_ORG and MESA_API_KEY are read
  # from the environment — never persisted to disk.
  MESA_ORG="my-org" MESA_API_KEY="$MESA_TOKEN" mesa mount -d

  # --- Run your agent ---
  cd ~/.local/share/mesa/mnt/my-org/agent-workspace
  claude "Implement the feature described in TODO.md"
  ```
</CodeGroup>

## Custom template

For faster startup, pre-install the Mesa CLI into a [custom Superserve template](https://docs.superserve.ai/templates/create) so each sandbox boots with the Mesa CLI already installed:

<CodeGroup>
  ```typescript TypeScript theme={null}
  import { Template } from "@superserve/sdk";

  const template = await Template.create({
    name: "agent-with-mesa",
    vcpu: 2,
    memoryMib: 2048,
    diskMib: 4096,
    from: "ubuntu:24.04",
    steps: [
      { run: "apt-get update && apt-get install -y --no-install-recommends ca-certificates curl git && rm -rf /var/lib/apt/lists/*" },
      { run: "curl -fsSL https://mesa.dev/install.sh | sh -s -- --yes" },
    ],
  });

  await template.waitUntilReady();
  ```

  ```python Python theme={null}
  # Use the same template steps with Superserve's Python template API.
  template_steps = [
      "apt-get update && apt-get install -y --no-install-recommends ca-certificates curl git && rm -rf /var/lib/apt/lists/*",
      "curl -fsSL https://mesa.dev/install.sh | sh -s -- --yes",
  ]
  ```

  ```dockerfile Dockerfile theme={null}
  FROM ubuntu:24.04
  RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates curl git \
      && rm -rf /var/lib/apt/lists/*
  RUN curl -fsSL https://mesa.dev/install.sh | sh -s -- --yes
  ```
</CodeGroup>

Reference it on sandbox creation and skip the runtime install step:

<CodeGroup>
  ```typescript TypeScript theme={null}
  const sandbox = await Sandbox.create({ fromTemplate: "agent-with-mesa" });

  await sandbox.commands.run("mesa mount -d", {
    env: {
      MESA_ORG: "my-org",
      MESA_API_KEY: token,
    },
  });
  ```

  ```python Python theme={null}
  # Reference the prebuilt template in Superserve's Python SDK, then run:
  mount_cmd = "mesa mount -d"
  mount_env = {"MESA_ORG": "my-org", "MESA_API_KEY": minted.token}
  ```

  ```bash CLI theme={null}
  MESA_ORG="my-org" MESA_API_KEY="$MESA_TOKEN" mesa mount -d
  ```
</CodeGroup>

## Tips

* **Use scoped, short-lived access tokens.** Sign a dedicated token for each sandbox session with only the scopes it needs — it's signed locally from your API key (which never enters the sandbox) and expires on its own. See [Authentication](/content/concepts/authentication) for details.
* **Use `--daemonize`.** Always run `mesa mount --daemonize` in sandbox environments so Mesa runs as a background process and doesn't block your agent's terminal.
* **Build a custom template** for production use — pre-installing the Mesa CLI avoids the install overhead on every sandbox creation.
* **Mount path follows `$HOME`.** Superserve's guest agent sets `HOME=/home/user`, so the mount lands at `/home/user/.local/share/mesa/mnt/<org>/<repo>`. Use `~/.local/share/mesa/mnt/...` and it resolves correctly.