Runloop

What is Runloop?

Runloop is a platform for building and optimizing AI agents that do software engineering work. Its core unit is the devbox, a secure sandbox where agents run and where generated code can be tested. Blueprints define reusable environments, snapshots save a devbox's disk state so you can suspend, resume or fork it, and code mounts pull a repository into a new devbox. Axons provide event streams for coordinating agents, users and external systems. Agent gateways proxy LLM requests without exposing API keys to the sandbox, and an MCP hub gives agents tool access through one endpoint. Teams use it to build agents that review pull requests, answer questions about a codebase, write tests or generate UI components. The Basic plan is free plus usage-based compute, Pro is $250 /month plus usage, and Enterprise is custom. New accounts get a Pro trial with $50 in credit.

Use cases

• Run AI coding agents in isolated sandboxes
• Test agent-generated code safely
• Automate pull request review
• Generate tests for existing codebases
• Snapshot and fork development environments
• Give agents controlled access to MCP tools
• Run browsers or desktops for agents

Who it's for

• AI agent developers
• Engineering teams
• Developer-tool companies
• Regulated enterprises

Why use Runloop

• Gives agents a safe place to run code without building sandbox infrastructure yourself.
• Snapshots and suspend and resume let you pause work and return to the same state.
• Usage is billed per second based on actual consumption, with no minimums.
• The vendor states the platform is SOC2 compliant and managed around the clock.

Runloop features

• Devbox sandboxes with predefined and custom sizes
• Blueprints and prebuilt blueprint images
• Snapshots with suspend and resume
• Code mounts from repositories
• Axons event streams and broker for agents
• Agent gateways that keep LLM keys out of the devbox
• MCP hub with tool-level access control
• Docker-in-Docker, Playwright browser and Ubuntu desktop
• Object storage for blueprints and devboxes
• SDKs for programmatic control

Runloop integrations

• GitHub
• Slack
• Anthropic
• OpenAI

How to get started with Runloop

1. Create an account and an API key; the Pro Trial starts without a credit card.
2. Define a blueprint for the environment your agent needs, or start from a prebuilt one.
3. Launch a devbox through an SDK, mount your repository and run your agent inside it.
4. Use snapshots to suspend, resume or fork the devbox state.
5. Watch usage on the dashboard and upgrade when you reach trial caps.

Runloop limitations

• Pro Trial caps at 3 running devboxes, 5 blueprints, 10 snapshots and 3 storage objects.
• Trial devboxes are limited to the X Small, Small and Medium sizes with a one-hour keep-alive.
• Usage-based compute and storage are billed separately from the plan.
• Reinforcement fine-tuning, VPC deployment and priority support are Enterprise features.

Runloop pricing

Yes, Runloop has a free plan. Paid plans start at $250 per month, according to the official pricing page on 24 Oct 2026.

Runloop plans

• Basic

  Free + usage-based compute

  • 100 GB free storage
  • Radar features
  • Devboxes and blueprints
  • Snapshots
  • Email support

• Pro

  $250 /month + usage

  • 1 TB free storage
  • Everything in Basic
  • Suspend and resume
  • Repo connections
  • Beta features access
  • Slack support

• Enterprise

  Custom

  • Everything in Pro
  • Reinforcement fine-tuning
  • Priority support
  • Deploy to VPC
  • Custom free storage

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Runloop alternatives

The main Runloop alternatives listed on Debuly are E2B, Modal, agent-browser, Hyperbrowser, Bernstein and Browser Use. The table compares pricing and platforms; order is A–Z.

1. 

   agent-browser

   Native Rust command-line browser automation tool built for AI agents, with compact accessibility snapshots and 50+ commands.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit agent-browser (official site)
2. 

   Bernstein

   Open-source Python orchestrator that runs CLI coding agents in parallel git worktrees, with a tamper-evident audit log.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Bernstein (official site)
3. 

   Browser Use

   Cloud browsers and hosted web agents for AI, plus an MIT-licensed open-source browser agent, billed pay-as-you-go from $0.02 per hour.

   Developer platformsAutomation and agentsCoding
   PaidVisit Browser Use (official site)
4. 

   E2B

   Cloud sandboxes where AI agents run code safely, with Python and JavaScript SDKs and per-second usage billing.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit E2B (official site)
5. 

   Hyperbrowser

   Cloud infrastructure that gives AI agents hosted Chrome sessions, isolated sandboxes, and web fetch, crawl and search APIs.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Hyperbrowser (official site)
6. 

   Modal

   Serverless cloud platform for running AI inference, training, batch jobs and agent sandboxes, billed per second of compute.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Modal (official site)

Runloop FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from cdn.prod.website-files.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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