Quicksand Core
This package provides the core implementation for the quicksand VM harness.
It includes the abstractions for running VMs that AI agents can interact with, including command execution, file operations, and state checkpointing. Most users should install quicksand instead, which includes pre-built images.
Installation
For most users, install the main package:
bash
pip install 'quick-sandbox[qemu,ubuntu]'For core-only (no bundled images):
bash
pip install quick-sandboxCore Exports
This package exports the core building blocks:
python
from quicksand_core import (
# Main classes
Sandbox,
Mount,
ExecuteResult,
# Save support
SaveManifest,
# Image resolution
ResolvedImage,
# Runtime management
get_runtime,
RuntimeInfo,
is_runtime_available,
# Accelerator detection
get_accelerator,
detect_accelerator,
AcceleratorStatus,
Accelerator,
# Platform configuration
get_platform_config,
PlatformConfig,
# Architecture/OS types
Architecture,
MachineType,
OS,
)Usage with Custom Image
python
import asyncio
from quicksand_core import Sandbox
async def main():
async with Sandbox(image="your-image-name", memory="1G", cpus=2) as sb:
result = await sb.execute("cat /etc/os-release")
print(result.stdout)
asyncio.run(main())Features
- Real VM isolation: Hypervisor-level isolation (KVM, HVF, WHPX)
- Cross-platform: Linux, macOS, Windows
- Platform abstraction: Automatic detection of accelerators and machine types
- Save and load: Save VM disk state to a directory and load it on any machine
- File sharing: CIFS mounts via
quicksand-smb(pure-Python SMB3 server, invoked as a subprocess via QEMU guestfwd) - Performance optimizations:
- io_uring disk AIO (~50% lower latency on Linux)
- IOThreads for better concurrent disk I/O (all platforms)
For Most Users
Install quicksand with a bundled image for zero-configuration usage:
bash
pip install 'quick-sandbox[qemu,ubuntu]'python
import asyncio
from quicksand import UbuntuSandbox
async def main():
async with UbuntuSandbox() as sb:
result = await sb.execute("ls -la /")
print(result.stdout)
asyncio.run(main())License
MIT