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Runtm

Open-source sandboxes where coding agents build and deploy. Spin up isolated environments where Claude Code, Cursor, and other agents code and deploy software.

From runtm-ai·Updated June 12, 2026·View on GitHub·

**runtm** is a Open-source sandboxes where coding agents build and deploy. Spin up isolated environments where Claude Code, Cursor, and other agents code and deploy software. The project is written primarily in Python, distributed under the Other license, first published in 2026. Key topics include: agent-runtime, agentic, ai-agents, anthropic, app-runtime.

Latest release: packages/agent/v0.0.2runtm-api v0.0.2
May 28, 2026View Changelog →

Runtm

License: AGPL v3
License: Apache 2.0
License: MIT
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Open-source sandboxes where coding agents build and deploy.

Spin up isolated environments where Claude Code, Cursor, Codex, and other agents code and ship software. With live URLs, logs, and previews.

Website · Docs · Get Started

Demo

https://github.com/user-attachments/assets/8d6d5ab8-a5c4-4a3d-8ef1-5d20b67ed3ee

Why Runtm?

  • Sandboxes for yolo agents – Let agents code with full permissions in isolated environments. No risk to your machine or cloud.
  • Run any coding agent – Claude Code, Cursor, Codex, Gemini CLI, and more. Bring your favorite.
  • Real URLs instantly – Agents deploy to live HTTPS endpoints. Test, share, and iterate.
  • Logs and observability – See what your agent built, debug issues, fix and redeploy.

Quick Start

bash
# Install uv tool install runtm # Start a local sandbox session runtm session start # Your agent builds inside the sandbox... # Deploy to a live URL runtm session deploy

You get a live HTTPS endpoint on auto-stopping infrastructure. Machines spin down when idle and wake up on traffic.

Local Sandbox Sessions

Run AI agents in isolated local environments with OS-level sandboxing:

bash
# Start a sandbox (auto-installs deps on first run) runtm session start # Start with a template runtm session start --template web-app # Use a different agent runtm session start --agent codex # List all sandboxes runtm session list # Reattach to a sandbox runtm session attach sbx_abc123 # Deploy from sandbox to live URL runtm session deploy

What you get:

  • OS-level isolation – Uses bubblewrap (Linux) or seatbelt (macOS) for fast, secure sandboxing
  • Instant startup – Sandboxes start in <100ms, no containers needed
  • Multi-agent support – Works with Claude Code, Codex, Gemini CLI, and more
  • Persistent workspaces – Stop and resume sessions, files preserved

How It Works

┌────────────┐     ┌─────────┐     ┌─────────┐     ┌──────────┐
│ Your Agent │ ──▶ │ Sandbox │ ──▶ │  Runtm  │ ──▶ │ Live URL │
└────────────┘     └─────────┘     └─────────┘     └──────────┘
  1. Spin up a sandbox – Your agent gets an isolated workspace
  2. Agent builds – Full permissions to code, install deps, run tests
  3. Deploy – One command to a real URL with logs and previews
  4. Iterate – Agent can see logs, fix bugs, and redeploy

Installation

The pip CLI (runtm) for local sandboxes, scaffolding, and deploys:

bash
# Recommended uv tool install runtm # Alternative pipx install runtm # Or with pip pip install runtm

The Go CLI (runtm-api) is a separate, lighter tool for AI coding agents driving the hosted Cloud API:

bash
curl -fsSL https://runtm.com/install | bash

It is JSON-in / JSON-out, has stable exit codes, and ships with embedded skill files for Claude Code, Cursor, and Codex. See Agent CLI docs and the packages/agent/ source for details. The pip and Go CLIs share the same API key.

Commands

CommandDescription
runtm session startStart a new sandbox session
runtm session listList all sandboxes
runtm session attach <id>Reattach to a sandbox
runtm session stop <id>Stop a sandbox (preserves files)
runtm session destroy <id>Destroy sandbox and delete files
runtm session deployDeploy from sandbox to live URL
runtm initInitialize a new project
runtm deployDeploy to a live URL
runtm logs <id>View build, deploy, and runtime logs
runtm status <id>Check deployment status
runtm destroy <id>Tear down a deployment

See the CLI docs for the full reference.

Self-Hosting

Runtm can be fully self-hosted. See the self-hosting guide.

bash
git clone https://github.com/runtm-ai/runtm.git cd runtm cp infra/local.env.example .env # Install packages (includes sandbox and agents) ./scripts/dev.sh setup # Start local services docker compose -f infra/docker-compose.yml up -d # Use the development CLI runtm-dev start # Start a sandbox session runtm-dev prompt "Build an API" # Send prompt to agent

Note: Use runtm-dev (not runtm) when self-hosting. The dev CLI includes sandbox/agents packages.

Project Structure

packages/
  shared/     # Types, manifest schema, errors
  sandbox/    # Local sandbox runtime (OS-level isolation)
  agents/     # AI coding agent adapters (Claude Code, Codex, etc.)
  api/        # FastAPI control plane
  worker/     # Build + deploy pipeline
  cli/        # Python CLI (Typer) - `runtm` (local sandbox + deploy)
  agent/      # Go CLI (Cobra) - `runtm-api` (hosted Cloud API for AI agents)

templates/    # Starter projects (backend, static, fullstack)

Documentation

Full docs at docs.runtm.com:

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

ComponentLicense
Server (api, worker, infra)AGPLv3
CLI, Sandbox, SharedApache-2.0
TemplatesMIT

Support

Open an issue or join our Discord.

Contributors

Showing top 3 contributors by commit count.

View all contributors on GitHub →

This article is auto-generated from runtm-ai/runtm via the GitHub API.Last fetched: 6/14/2026