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Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
sandboxd는 오픈소스 자체 호스팅 AI 앱 빌더로, 에이전트가 격리된 샌드박스에서 앱을 만들고 미리보기 URL을 제공합니다
Open-source, self-hosted AI app builder — an agent builds real apps in isolated sandboxes on your own server, each live at a preview URL. Self-host in one command. MIT.
개발 도구Go · TypeScriptGitHub @tastyeffectco직접 설치운영자 미확인
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메이커가 쓴 소개는 위의 한 줄이 전부입니다. 더 자세한 내용은 저장소 README에서 읽을 수 있습니다. 저장소 README ↗
README 전체를 불러오는 중입니다.
README 전문 보기 ↗The apps where you type "build me a todo app" and a working site appears at its own link — Lovable, Bolt, v0, Replit. sandboxd is the open-source engine that makes that work, on your own server. One HTTP request and it:
Idle sandboxes sleep and wake on demand, so one ordinary box holds many apps instead of a VM each. Under the hood it's deliberately small: one Go program driving Docker, Traefik for URLs, SQLite for state — no Kubernetes, no separate database, no queue.
Bring your own models. Run OpenCode or Pi against local or remote OpenAI-compatible and Anthropic-compatible endpoints. Add connections, model aliases and token limits in the console; provider keys stay encrypted on the control plane. Use your local model server or a LiteLLM gateway, including gateways routing to AWS Bedrock. Set up model connections →
/v1 call, so you can build sandboxd into your
own product./v1 client; the
engine runs perfectly headless without it.New here? Start with the console. Building a product? Drive the API.
The console starts with your idea: describe an app, choose a stack and agent, then work in a persistent conversation beside preview, code, terminal and Git. Settings groups model connections, coding-agent accounts, Git credentials and security controls. Workspace menus expose secrets, versions, memory and runtime tools. See the console guide for the complete workflow.
The console isn't only for coders. Open it and, in one click or one prompt, you can:
Dev → prod, never shorter: prompt an app into a sandbox, iterate on a live preview, then self-host it on your own server in one command.
Needs Docker + the Compose plugin and git on Linux (macOS via Docker Desktop is best-effort). Runs natively on amd64 and arm64 — including Apple Silicon Macs and arm64 Linux hosts (e.g. AWS Graviton) — every image builds from multi-arch bases with no cross-compilation. Install in one line:
curl -fsSL https://raw.githubusercontent.com/tastyeffectco/sandboxd/main/install.sh | bash
On a clean stable release checkout with cosign installed, it pulls and verifies
the matching prebuilt images. Otherwise it builds from source. It starts the
stack with the web console, and prints your
console URL. Create your password on first visit, then connect an agent
under Settings, create an app, and build. No code needed.
./install.sh --build — a first-class,
fully-supported path. Compiles every image locally so you audit exactly what
runs. Prebuilt images are multi-arch, cosign-signed with build provenance
by the release workflow. The installer
verifies each pulled digest against that workflow's identity at the exact
release tag before starting services. ./install.sh --pull requires those
checks to succeed; --build and custom image names use local builds. No
signing tools are downloaded by the installer. A failure falls back to source
in automatic mode, or stops without starting the stack in --pull mode.http://console.localhost — create your password on first visit.
Run ./console-login.sh to show the URL or reset the password.http://127.0.0.1:9090 (curl http://127.0.0.1:9090/healthz → ok)install.ps1 remains available for existing Docker
Desktop/WSL setups. Opt out of CLI desktop installation with
--no-desktop / -NoDesktop or SANDBOXD_DESKTOP=0. The initial signed desktop
release must be published before automatic downloads are available; see
desktop setup, source builds and release status.--no-console --no-desktop (Windows: -NoConsole -NoDesktop)../upgrade.sh — it backs up your database first,
health-checks the new version, and rolls back automatically if it fails
(Upgrading). ./upgrade.sh --check shows your version.Prefer the API? Connect an agent once, create a sandbox, hand it a prompt:
API=http://127.0.0.1:9090
curl -s -XPOST $API/v1/agents/claude-code/api-key -d '{"api_key":"sk-ant-..."}'
ID=$(curl -s -XPOST $API/sandbox -d '{"ports":[3000]}' | sed -E 's/.*"id":"([^"]+)".*/\1/')
curl -s -XPOST $API/v1/sandboxes/$ID/tasks -d '{"prompt":"build a todo app on port 3000","agent":"opencode"}'
# open the result at http://s-$ID-3000.preview.localhost
Full walkthrough → sandboxd.io/quickstart.
sandboxd needs one Linux server with Docker — nothing else. Grab a server below (2 vCPU / 4 GB is plenty to start), paste our cloud-init file at creation, and it installs itself.
Disclosure: we earn a referral commission when you sign up through the provider links below, at no additional cost to you. It helps fund sandboxd's development.
Then on the new server (or paste deploy/cloud-init.yaml as user-data and skip this):
curl -fsSL https://raw.githubusercontent.com/tastyeffectco/sandboxd/main/deploy/bootstrap.sh | sudo bash
Full per-provider walkthrough: deploy/DEPLOY.md.
✅ Use it if you run many sandboxes for other people — an AI app-builder, an agent platform, a coding playground, per-user or per-branch preview environments, or team multi-app hosting.
❌ Skip it if you just need one or two containers for yourself — a shell
script or docker run is simpler.
(Why not just a script?)
Out of the box, previews live on <ip>.sslip.io or localhost: fine on your
network, useless for sharing. sandboxd Cloud
gives the server you already run https://you.sandboxd.io (console, API and
*.preview.you.sandboxd.io) in one command — no domain, DNS, open ports or
certificates, and it works behind NAT, on a laptop, or on a $5 VPS. Your
compute and data stay on your machine. $9.99/server/month, 50% off at launch.
Prefer your own domain? Production / TLS.
Don't want to run the server yourself? We'll install, configure, and manage sandboxd on your own box — BYOC (your compute, your data, no lock-in). One-time setup + optional monthly management. See Managed →
Full docs live at sandboxd.io:
Building on it from your own agent? AGENTS.md is a
copy-pasteable runbook.
CONTRIBUTING.md)SECURITY.mdBeta · 0.x. Container isolation (not VMs), single-server, and API auth off by default — all fine for your own users; tighten before untrusted multi-tenancy. See Hardening. Expect the occasional breaking change before 1.0 — pin a version and update as you go.
Stars are how other builders find sandboxd — it's the fastest way to support the project (and it keeps us going). Thank you 🙏
MIT. Use it, ship it, sell what you build on it.
sandboxd is free and MIT-licensed. Sponsors keep it maintained and fund the deploy roadmap — thank you to everyone who chips in.
AGENTS.md · ARCHITECTURE.md |