Install the launcher
One native app for macOS, Windows and Linux. If Docker or WSL 2 is missing, it downloads and walks you through them.
WebClaw packs an entire development machine into one browser window: chat with an AI assistant, write code, use a full graphical desktop. It all runs in a Docker sandbox, so you can break anything without breaking your computer.
Docker sandbox Β· one-click reset Β· your real files stay untouched
Prefer to try before installing?Open the live demoShared environment, resets every 5 min β don't enter anything sensitive
βΊ Scrape the pricing tables from these 3 sites and put them in one spreadsheet
ββ reading ~/work/sites.txt
ββ β installed playwright, chromium
! site 2 blocks headless β retrying with the desktop browser
β wrote pricing.xlsx Β· 3 sites Β· 47 rows
βΊ Done. The file is in the workspace β open it in the editor or the desktop.β
Coding agents are useful precisely because they can install things, run commands and edit files. That is also exactly why you don't want one loose on your laptop.
One native app for macOS, Windows and Linux. If Docker or WSL 2 is missing, it downloads and walks you through them.
Lite, Desktop or Pro. Images come over a firewall-resistant CDN with resumable downloads, and ports are allocated automatically β no conflicts to debug.
Three entry points behind one port: chat with the assistant, write code in the workspace, or use the full graphical desktop.
Everything is bound to localhost inside the container and reached through a single authenticated gateway on port 20000. Nothing is exposed to your network unless you turn it on.
Dimmed items are optional β enable them per instance to save memory and battery.
VS Code-style editor with a file tree and a real terminal, a GNOME desktop for anything graphical, and a web terminal when you just need a shell. No X server, no remote desktop client, no VPN.
The agent sees the container, not your disk. Mount a folder only when you actually want it in there.
Use the built-in WebClaw GLM route, or bring your own GLM, OpenAI or Ollama key. Each assistant can be pointed at a different route independently.
One instance per project, each with its own volumes, ports and AI settings. Ports are allocated from 20000 in steps of 10 and checked against everything already running, locally and remotely.
Roll a volume back to a known-good state, or wipe the instance and start clean in seconds.
Point the launcher at a server and manage its containers the same way β start, stop, logs, image import.
Summon the assistant in a side panel on any page. Selected text, page content or your voice β straight into the context.
Desktop, Documents, Downloads or any path you pick. Nothing is mounted unless you say so.
Multi-threaded resumable downloads from an R2 mirror, with digest comparison so you only pull what changed.
The container carries its own source at /home/ubuntu/dna. The agent can edit it, build a new image and spawn a child container.
Docker-in-Docker or host socket, bridge / macvlan / external networks, named volumes or bind mounts, and an OpenWrt isolation mode that forces all container traffic through a side router.
Missing Docker Desktop or WSL 2? The launcher downloads the installer and walks you through it.
Every edition includes the assistant and the workspace. The difference is how much of a desktop and toolchain comes with it β pick by disk space and by what you actually do.
Assistant and workspace, no graphical desktop. Best when disk space is tight or you only need the AI coding loop.
Adds a full GNOME desktop β a real browser, document viewers, design tools, anything that needs a screen.
Adds the task board and four AI CLIs. Choose it when you genuinely want the whole toolchain, not just to have the biggest one.
The container, the launcher and every edition are free β they run on your own hardware. A membership adds the things that only matter once you have more than one machine to look after.
Cancel any time
No. The launcher installs Docker for you if it isn't there, generates the compose file, allocates ports and starts the container. Docker is how it works underneath, not something you have to operate.
It uses real CPU and memory while it runs, like any other app β Lite is the lightest, Pro the heaviest. When an instance is stopped it consumes nothing. You can stop and start instances from the launcher at any time.
In Docker volumes on your own machine, or on your own SSH server for remote nodes. Nothing inside your workspace is uploaded anywhere β the only data stored on our side is the website account data described in the privacy policy. Folders on your real disk are visible to the container only if you explicitly mount them.
The environment does β the editor, desktop, terminal and your files are all local. The AI assistant needs a model to talk to, so it needs either a network connection or a local model through Ollama.
Running many instances, creating snapshots, backup and restore, live monitoring, scheduled tasks, and managing remote SSH nodes. A single free instance with all three editions never expires.
OpenClaw is one of the assistants preinstalled in the container, alongside Claude Code, Hermes and cc-switch. WebClaw is an independent third-party product and is not affiliated with OpenClaw.
Install the launcher, pick an edition, and you have a full Linux workstation with an AI assistant in it β without touching the machine you're reading this on.