Superserve

Superserve

Superserve is an open-source, self-hostable sandbox platform for long-running AI agents that provides durable Firecracker microVMs, pausing/resuming sessions, and programmatic control via an SDK and API.

Superserve is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free API
#430 in AI Agents (430 tools)
Just launched
Data reviewed Jul 22, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Free from $0.0504/ hour

Next step

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Superserve

Superserve provides durable, secure sandboxes (built on Firecracker microVMs) for running long‑running AI agents and tool execution. It is targeted at developers and teams that need stateful agent environments: sandboxes can pause indefinitely, snapshot, fork, and resume so agents can maintain working state across sessions. The platform is open-source and self-hostable, offers an SDK and API for programmatic control, and includes controls for network egress, credential brokering, and compliance (SOC 2 Type 2, HIPAA, GDPR).

The open-source sandbox for long-running agents.

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Key Features

Indefinite sessions

No 24-hour limit — sandboxes can pause indefinitely and resume later so agents keep working state across long time spans.

Durable state (Snapshot · Fork · Resume)

Snapshot a VM at any step, fork and resume from checkpoints to branch work, rollback, and run parallel experiments.

Secure by default

Firecracker microVM isolation for every agent and tool call, credential broker to prevent exfiltration, and network controls to restrict outbound traffic.

Open source & self-hostable

Repository superserve-ai/superserve is public; platform can be self-hosted for transparency and control.

SDK & API (Programmatic control)

Programmatic control via an SDK and API for creating sandboxes, running commands, pausing/resuming, and streaming outputs.

Streaming real-time output

Execute commands and code in isolated environments with real-time output streaming to the harness.

Durable filesystem

Read, write, and manage files across sessions; state persists exactly as the agent left it.

Elastic resource allocation

Agents can request CPU and memory resources on the fly from within the sandbox.

Preview URLs

Expose ports from inside a sandbox to a public URL for instant previews.

MCP (Model Context Protocol) support

Connect to sandboxes via the Model Context Protocol from any MCP-compatible agent.

Docker support

Run Docker containers natively inside the sandbox without compromising tooling.

Pricing

Free Tier Available

Start for free with no credit card required; pay-as-you-scale with per-second billing.

Compute (vCPU)

$0.0504/ hour
  • Per-hour and per-second billing for compute

Memory (GiB)

$0.0162/ hour
  • Per-hour and per-second billing for memory

Storage (GiB)

$0.000108/ hour
  • Per-hour and per-second billing for storage

Use Cases

Agent in a sandbox

Run agents inside isolated, stateful sandboxes with controlled network and credential access, giving agents full access to files, packages, shells, and working state.

Sandboxed tool execution

Execute AI-generated code, browsers, or system tasks in isolated sandboxes while keeping the harness outside and spinning sandboxes for tool calls.

Multi-agent systems and parallel exploration

Fork workspaces and run parallel agents in isolated sandboxes, snapshot and branch environments, then resume from prior states to compare results.

Integrations

GitHub / GitLab

Bring your harness and connect code repositories and CI/CD workflows (page references GitHub and GitLab in diagrams).

MCP (Model Context Protocol)

Connect sandboxes via MCP from any MCP-compatible agent.

Docker

Run Docker containers natively inside sandboxes to support existing tooling and containerized workflows.

SDK & API

Programmatic control via the Superserve SDK and API for automation and integration with stacks.

Benefits

Durable, stateful execution for long-running agents — pause, snapshot, fork, and resume environments.
Strong isolation using Firecracker microVMs and credential brokering to reduce exfiltration and cross-tenant risk.
Programmatic SDK/API and streaming outputs enable integration with developer harnesses and production workflows.

Limitations

Claim this listing to add transparent limitations.

Frequently Asked Questions

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Getting Started

  1. 1 Start free on the Superserve site (no credit card required).
  2. 2 Install the SDK: npm install @superserve/sdk.
  3. 3 Create and manage sandboxes programmatically (example: Sandbox.create, run commands, then pause/resume).

Support

docs

Documentation available on the Superserve site (View docs link).

trust center

Security documentation and compliance reports available in the trust center (View trust center link).

contact

Contact option referenced in site header (Contact).

API

Available: Yes
Documentation:

Documentation and SDK usage referenced on the site (npm install @superserve/sdk; View docs).

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