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Sandboxed.sh

Self-hosted orchestrator for AI autonomous agents. Run Claude Code & Open Code in isolated linux workspaces. Manage your skills, configs and encrypted secrets with a git repo.

Install / Use

/learn @Th0rgal/Sandboxed.sh

README

<p align="center"> <img src="dashboard/public/favicon.svg" width="120" alt="sandboxed.sh" /> </p> <h1 align="center">sandboxed.sh</h1> <p align="center"> <strong>Self-hosted cloud orchestrator for AI coding agents</strong><br/> Isolated Linux workspaces with Claude Code, OpenCode & Amp runtimes </p> <p align="center"> <em>Formerly known as Open Agent</em> </p> <p align="center"> <a href="https://sandboxed.sh">Website</a> · <a href="https://relens.ai/community">Discord</a> · <a href="#vision">Vision</a> · <a href="#features">Features</a> · <a href="#ecosystem">Ecosystem</a> · <a href="#screenshots">Screenshots</a> · <a href="#getting-started">Getting Started</a> </p> <br/> <p align="center"> <img src="screenshots/hero.webp" alt="sandboxed.sh Dashboard" width="100%" /> </p> <p align="center"> <strong>Ready to deploy?</strong> Jump to the <a href="#choose-your-installation-method">installation comparison</a>, or go straight to the <a href="docs/install-docker.md">Docker guide</a> / <a href="docs/install-native.md">native guide</a>. </p>

Vision

What if you could:

Hand off entire dev cycles. Point an agent at a GitHub issue, let it write code, test by launching desktop applications, and open a PR when tests pass. You review the diff, not the process.

Run multi-day operations unattended. Give an agent SSH access to your home GPU through a VPN. It reads Nvidia docs, sets up training, fine-tunes models while you sleep.

Keep sensitive data local. Analyze your sequenced DNA against scientific literature. Local inference, isolated containers, nothing leaves your machines.


Features

  • Multi-Runtime Support: Run Claude Code, OpenCode, or Amp agents in the same infrastructure
  • Mission Control: Start, stop, and monitor agents remotely with real-time streaming
  • Isolated Workspaces: Containerized Linux environments (systemd-nspawn) with per-mission directories
  • Git-backed Library: Skills, tools, rules, agents, and MCPs versioned in a single repo
  • MCP Registry (optional): Extra tool servers (desktop/playwright/etc.) when needed
  • OpenAI-compatible Proxy Queue Mode: Optional deferred execution for /v1/chat/completions when all routed providers are temporarily rate-limited
  • Multi-platform: Web dashboard (Next.js) and iOS app (SwiftUI) with Picture-in-Picture

Ecosystem

sandboxed.sh orchestrates multiple AI coding agent runtimes:

  • Claude Code: Anthropic's official coding agent with native skills support (.claude/skills/)
  • OpenCode: Open-source alternative via oh-my-opencode
  • Amp: Sourcegraph's frontier coding agent with multi-model support

Each runtime executes inside isolated workspaces, so bash commands and file operations are scoped correctly. sandboxed.sh handles orchestration, workspace isolation, and Library-based configuration management.


Screenshots

<p align="center"> <img src="screenshots/dashboard-overview.webp" alt="Dashboard Overview" width="100%" /> </p> <p align="center"><em>Real-time monitoring with CPU, memory, network graphs and mission timeline</em></p> <br/> <p align="center"> <img src="screenshots/library-skills.webp" alt="Library Skills Editor" width="100%" /> </p> <p align="center"><em>Git-backed Library with skills, commands, rules, and inline editing</em></p> <br/> <p align="center"> <img src="screenshots/mcp-servers.webp" alt="MCP Servers" width="100%" /> </p> <p align="center"><em>MCP server management with runtime status and Library integration</em></p>

Getting Started

Choose your installation method

| | Docker (recommended) | Native (bare metal) | | ------------------------ | ---------------------------------------------- | --------------------------------------------------- | | Best for | Getting started, macOS users, quick deployment | Production servers, maximum performance | | Platform | Any OS with Docker | Ubuntu 24.04 LTS | | Setup time | ~5 minutes | ~30 minutes | | Container workspaces | Yes (with privileged: true) | Yes (native systemd-nspawn) | | Desktop automation | Yes (headless Xvfb inside Docker) | Yes (native X11 or Xvfb) | | Performance | Good (slight overhead on macOS) | Best (native Linux) | | Updates | docker compose pull / rebuild | Git pull + cargo build, or one-click from dashboard |

Docker (recommended for most users)

git clone https://github.com/Th0rgal/sandboxed.sh.git
cd sandboxed.sh
cp .env.example .env
# Edit .env with your settings
docker compose up -d

Open http://localhost:3000 — that's it.

For container workspace isolation (recommended), uncomment privileged: true in docker-compose.yml.

Full Docker setup guide

Native (bare metal)

For production servers running Ubuntu 24.04 with maximum performance and native systemd-nspawn isolation.

Full native installation guide

First-time setup

After installation, follow the Getting Started Guide for:

  • Configuring your backend connection
  • Setting up your library repository
  • Exploring skills and tools
  • Creating your first mission

AI-assisted setup

Point your coding agent at the installation guide and let it handle the deployment:

"Deploy Sandboxed.sh on my server at 1.2.3.4 with domain agent.example.com"


Documentation

User Guides

Architecture & APIs

Setup Guides

Reference


Development

Setup git hooks

Enable pre-push formatting checks to catch CI failures locally:

git config core.hooksPath .githooks

This runs cargo fmt --check before each push. If formatting issues are found, run cargo fmt --all to fix them.


Status

Work in Progress — This project is under active development. Contributions and feedback welcome.

License

MIT

View on GitHub
GitHub Stars340
CategoryDevelopment
Updated2h ago
Forks38

Languages

Rust

Security Score

85/100

Audited on Mar 29, 2026

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