AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
신뢰할 수 없는 혹은 AI 생성 코드를 안전하게 실행하는 컴퓨팅 기본 요소
A compute primitive for safely running untrusted or AI-generated code — hardware-isolated Firecracker microVMs, real benchmarks, SDKs for JS/TS, Python, and a CLI.
개발 도구Rust · MDXGitHub @SumitKumar-17온라인운영자 미확인
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1분 만에 확인하기A compute primitive for safely running untrusted code in Firecracker microVMs - Rust core, TypeScript SDK.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
A compute primitive for safely running untrusted or AI-generated code.
sandkiln boots hardware-isolated Firecracker microVMs on demand, gives you a
programmatic API to execute commands and read/write files inside them, and
tears them down when you're done. Each sandbox is a real microVM — its own
kernel, its own filesystem, its own network namespace, isolated from every
other sandbox on the same host. Built for the same shape of problem as AI
agent sandboxes, code playgrounds, and untrusted-code execution services:
isolate first, then run.README 전문 보기 ↗A compute primitive for safely running untrusted or AI-generated code.
sandkiln boots hardware-isolated Firecracker microVMs on demand, gives you a programmatic API to execute commands and read/write files inside them, and tears them down when you're done. Each sandbox is a real microVM — its own kernel, its own filesystem, its own network namespace, isolated from every other sandbox on the same host. Built for the same shape of problem as AI agent sandboxes, code playgrounds, and untrusted-code execution services: isolate first, then run.
Website: https://sandkiln.vercel.app (architecture, real benchmark numbers, live feature status, and startup-latency research). Full docs (getting started, guides, API/SDK/CLI reference) at https://sandkiln.mintlify.site/.
There's no hosted service — you run a sandkilnd daemon yourself. See
SELF_HOSTING.md for the full setup (KVM, Firecracker,
the base rootfs image, tap device pool, daemon config), then talk to it
from a client.
npm install sandkiln
import { Sandbox } from "sandkiln";
const sandbox = await Sandbox.create({ tags: { env: "ci" } });
const result = await sandbox.runCommand("python3", ["analyze.py"]);
console.log(result.stdout, result.exitCode);
await sandbox.stop();
A CLI ships the same operations:
npm install -g sandkiln-cli # installs the `kiln` command
Python mirrors the JS/TS SDK exactly too:
pip install sandkiln
See packages/python and packages/cli.
Active development. The core primitive, networking, auth, tags, file ops, snapshot/resume/fork, named sandboxes, persistent-by-default stop, read-only shared drives, auto-suspend on idle, custom/managed images, per-sandbox I/O rate limiting, and all three clients (JS/TS, Python, CLI) work and are verified against real hardware — see CHANGELOG.md for what shipped and ROADMAP.md for what's still open (OCI-image conversion, multi-node, snapshot encryption at rest). The plan is a direction, not a spec, and keeps changing as the project gets built.
Picking this up as a contributor (human or agent)? Read AGENTS.md first — it covers non-obvious things this project already hit and fixed once.
core/ — Rust workspace: sandkiln-protocol (the wire format
shared by host and guest), sandkiln-guest-agent (a static binary that
runs inside each microVM), sandkiln-vmm (drives Firecracker and
networking), sandkiln-store (durable sandbox-lifecycle history,
sqlite), sandkiln-daemon (the HTTP API, sandkilnd).packages/sdk — sandkiln
on npm, the JS/TS client.packages/python — sandkiln
on PyPI, the Python client, mirroring the JS SDK exactly.packages/cli — kiln, the command-line interface.images/ — kernel and rootfs build scripts for sandbox base images.scripts/ — dev-box setup and daily-use tooling (dev.sh is the
master dispatcher; one-time host provisioning lives under
host-setup/, narrow manual-debugging tools under dev-tools/).website/ — the project site at https://sandkiln.vercel.app:
architecture, benchmarks, roadmap.docs-site/ — the full docs site (getting started, core concepts,
guides, API/SDK/CLI reference, architecture), a separate Mintlify
project — see https://sandkiln.mintlify.site/.MIT