AIエージェント
nanoclaw
A lightweight, container-isolated personal AI agent for WhatsApp, Telegram, Slack and more
★ 30.9k スターMIT
ガイドを見る →forkdは、deepletheが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: deeplethe/forkd）。GitHubスターは2,923、フォークは227で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年9月14日です。
Fork() for AI agent microVMs — spawn 100 KVM-isolated children in ~100ms from a warm parent
Decide your fan-out shape: parallel agent evals, per-user code execution, untrusted CI, or fork-per-turn code interpretation.
Install the daemon (or build from source with Cargo) on a Linux host with KVM and Firecracker.
Run forkd doctor / quickstart to preflight KVM, Firecracker and networking, then pull or bake a warm parent snapshot.
Fork a few children from the snapshot tag, run a task in one, and check its timing and isolation.
The README reports spawning 100 children in about 100 ms from a warm parent snapshot, sharing memory copy-on-write until they diverge.
Pause a running sandbox, snapshot its in-flight state and resume — about 150 ms, with v0.4 live mode cutting the pause window further.
Each child is a separate Firecracker microVM with real KVM isolation, not just a container namespace.
Stack snapshot layers (e.g. Python base, then numpy, then pandas) that the daemon assembles in one pass at spawn time.
Pull portable prebaked snapshots such as a LangGraph parent image, or publish your own.
Python SDK (pip install forkd), TypeScript SDK (@deeplethe/forkd) and an MCP server (pip install forkd-mcp) for Claude and Cursor.
Clone forkd and enter the directory.
git clone https://github.com/deeplethe/forkd.git
cd forkdquickstart preflights the host (KVM, Firecracker, kernel image), bakes or pulls a Python snapshot, then forks 10 children with per-child timings.
sudo -E forkd quickstartPull a portable snapshot from the hub and fork children from it.
forkd pull deeplethe/langgraph-react
sudo -E forkd fork --tag langgraph -n 3 --per-child-netnsIt is maintained by deeplethe and contributors on GitHub.
Yes, it is Apache-2.0 licensed and self-hosted on your own Linux/KVM host, with no per-second cloud sandbox fees.
No — forkd is sandbox infrastructure, not an LLM service. Your agents inside the VMs use whatever model keys you give them.
Containers share a kernel; forkd gives each child its own microVM with KVM isolation, and unlike managed SaaS it runs on your own hardware.
On a KVM-capable Linux host, install forkd, run sudo -E forkd quickstart, then forkd pull a snapshot and fork your first children.
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