Hardened Lima VM for running AI agents — overlay isolation, network containment, secrets management, and gated sync.
Project description
bilrost
Hardened Lima VM for running AI agents — overlay isolation, network containment, secrets management, and gated sync.
Install
# Via pipx (recommended)
pipx install bilrost
# Via uv
uv tool install bilrost
# Via pip
pip install bilrost
Usage
# Interactive setup
bilrost init
# Provision the VM (~5 min first run)
bilrost up
# Check status
bilrost status
# SSH into the VM
bilrost ssh
# Sync overlay changes to host (with secret scanning)
bilrost sync
# Stop / destroy
bilrost down
bilrost destroy
MCP Server
Agents can manage the sandbox programmatically via FastMCP:
{
"mcpServers": {
"sandbox": {
"command": "bilrost-mcp"
}
}
}
9 tools: sandbox_status, sandbox_up, sandbox_down, sandbox_destroy, sandbox_exec, sandbox_validate, sandbox_ssh_info, sandbox_gateway_info, sandbox_agent_identity.
What It Does
- OverlayFS isolation — host code mounted read-only, all writes contained in VM overlay
- Network containment — UFW firewall with explicit allowlist (HTTPS, DNS, Tailscale, NTP only)
- Secrets management — three injection methods,
0600perms, never in process lists - Gated sync — gitleaks scanning + path allowlist before changes reach your host
- Docker sandboxing — per-session containers with configurable network isolation
- 12 Ansible roles — overlay, secrets, gateway, docker, firewall, sync-gate, gh-cli, buildlog, cadence, qortex, tailscale, and more
Requirements
- macOS (Apple Silicon or Intel)
- Homebrew
- ~10GB disk space
Dependencies (Lima, Ansible, etc.) are installed automatically on first run.
Documentation
Full docs: peleke.github.io/openclaw-sandbox
License
MIT
Project details
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