OpenClaw and ZeroClaw look like the same product with different packaging. They are not quite. One is a large TypeScript system with a marketplace behind it. The other is a single Rust binary that reads the same skill format. The question is whether that difference is the one you care about.
So here is the short answer first. Stay on OpenClaw if the ecosystem and the community matter more to you than footprint. Move to ZeroClaw if you want one process instead of a Node runtime, real OS-level sandboxing without configuration, and a tool you can run on a cheap box. Neither one imports your skills for you.
Be clear-eyed about what you give up. OpenClaw has 392,318 stars and a skill marketplace other people maintain. ZeroClaw has 32,990 stars and a much smaller world. You are not comparing two mature options. You are comparing the leader against a leaner rewrite.
Picture this. Your agent works well on your laptop. You want it on a small VPS that costs five dollars a month. OpenClaw asks more of that box than you would like. ZeroClaw asks less, sandboxes itself properly out of the box, and starts in a fraction of the time. For some people that is the whole decision.
Below, the two go head to head. You will see where each one wins, what each costs to run, and the one thing neither one does for you — which is import your existing skills automatically.
One is built for control, one for reach
This section takes each tool one at a time and shows where it is genuinely strong. We start with OpenClaw, then ZeroClaw, so you can see what each is best at.
It matters because these two are not competing on the same axis. One competes on ecosystem, the other on footprint. A reader who compares them on a single feature list will pick the wrong one every time.
Where OpenClaw wins
- 392,318 stars against 32,990, and a skill marketplace other people maintain for you.
- 20+ chat channels plus shell, browser, and filesystem control.
- An active 501(c)(3) foundation and a large, fast-moving community.
- More integrations and more third-party documentation.
- TypeScript, so a far larger pool of developers can read and patch it.
Where ZeroClaw wins
- One Rust binary and one TOML file — no Node runtime, no package tree.
- OS-level sandboxing via Landlock, Bubblewrap, Seatbelt, or Docker, available out of the box.
- Autonomy is supervised by default: medium-risk actions need approval, high-risk ones are blocked.
- Around 30 channel adapters and roughly 20 model providers, so you can move cost freely.
- Reads the standard SKILL.md format, so skills written for this ecosystem carry over.
So which one should you pick?
The pick comes down to whether your constraint is ecosystem or footprint. Find the line below that sounds like you and start there. If two fit, ask which one you would rather be explaining to the next person who joins your team.
| Your situation | Pick | Why |
|---|---|---|
| You want the biggest skill library | OpenClaw | 392K stars and a marketplace other people maintain. |
| You need shell, browser, and file control | OpenClaw | Local computer control the alternatives skip. |
| You want sandboxing without configuring it | ZeroClaw | Landlock, Bubblewrap, Seatbelt, or Docker. |
| You want actions approved before they run | ZeroClaw | Supervised autonomy is the default, not an opt-in. |
| You want the most chat channels | OpenClaw | 20+ channels and a larger adapter surface. |
| You need your existing skills to just work | Neither | Neither ships an OpenClaw skills importer. Budget the rewrite. |
Here's what OpenClaw and ZeroClaw both still leave to you...
Both tools start the same way. You install the runtime, choose a model, wire your channels, and write or import your skills. That part is a weekend. What comes after is the part nobody budgets for.
That is where the problem comes. Whichever tool you pick, you are the one who keeps it alive. An OpenClaw update can silently undo your security hardening or change a config the release notes never mention. A ZeroClaw bug once grew a memory database to 888 MB until the agent stopped responding — and the failure surfaced as silence, not an alert. A model provider renames a model. A channel adapter breaks. Somebody has to notice, and somebody has to fix it. With either tool, that somebody is you.
And the cost is not zero on either side. You pay the model provider per token — and when an agent retries a failed step, you pay for every retry, with no ceiling. You pay for the machine. And you pay in the hours it takes to keep the whole thing alive. Most people land somewhere between five and fifty dollars a month, and the hours never show up on an invoice.
That is the problem Zaira comes in to fix. You name the result you want and it works out the steps itself. There is no gateway to keep alive and no release notes to read on a Sunday. It keeps its own app connections current, so when an API moves, that is handled on its side.
The honest version is this. OpenClaw and ZeroClaw both give you a job you did not apply for. Zaira gives you an outcome you did not have to describe twice. Pick based on which of those two things you actually want more. Click here to get instant access to Zaira today.
Frequently asked questions
Is ZeroClaw a drop-in replacement for OpenClaw?
No. It reads the same SKILL.md skill format, so your skill files are portable, and it can install skills from a git URL or an agent-skills discovery index pinned by SHA-256. It uses its own directory layout, and it ships no documented automatic importer for an existing OpenClaw skills directory. Some roundups claim a `zeroclaw migrate openclaw` command. It does not exist — the only migrate command is `zeroclaw config migrate`.
How big is the ZeroClaw binary?
Not as small as you may have read. The published v0.8.6 release archives run from about 19.6 MB on Windows to 34.4 MB for aarch64 Linux, and the Linux AppImage is around 103 MB. Those are compressed archives. A widely repeated claim of a 3.4 MB binary is not supported by any first-party artifact.
Which one is more secure?
ZeroClaw has the stronger default, and it is worth being precise about why. OpenClaw's own documentation sets sandbox.mode to off by default and notes that the boundary is not a perfect one. ZeroClaw offers OS-level sandboxing through Landlock, Bubblewrap, Seatbelt, or Docker, and defaults to supervised autonomy so medium-risk actions need approval. Both still need you to read the docs and turn things on.
What licence is ZeroClaw under?
This one is genuinely ambiguous in the project's own first-party sources. The GitHub API and the LICENSE file both say Apache-2.0. The README badge claims MIT OR Apache-2.0. We report what we can verify and flag the rest rather than picking the friendlier answer.
Is ZeroClaw harder to use than OpenClaw?
It is less polished. OpenClaw has documentation, a community, and a marketplace. ZeroClaw is a tool with a config file. If you are comfortable with a terminal and a single binary, that is a fine trade. If you want someone to ask when something breaks, it is not.
Can ZeroClaw run on a Raspberry Pi or a cheap VPS?
It is built for it — the project documents hardware support for Raspberry Pi, Arduino, Nucleo, and Android, and publishes builds for aarch64 Linux, Apple Silicon, and Windows. It does not publish a minimum specification, so treat third-party claims about specific hardware as inference rather than vendor guidance.
Do I still have to build things with either?
Yes. Both are agents you configure: skills, channels, model providers, permissions. ZeroClaw's supervised default means fewer surprises, but it does not configure itself. If you want no setup at all, you need a managed tool rather than a different self-hosted one.
Is there a tool that needs no server?
Yes. Zaira, Claude, Perplexity Computer, and Manus are managed, so there is no gateway to keep alive and nothing to patch. You trade ownership for it: the data sits with the vendor and you cannot audit the machine.
Which one has more integrations?
OpenClaw, clearly, because it also ships local computer control that ZeroClaw does not attempt. ZeroClaw compensates with roughly 30 channel adapters and about 20 model providers, which is a lot of flexibility in a different direction — you can move cost between models far more easily.
Do I still have to keep the agent running myself?
With either one, yes. Both are software you host, patch, and restart. The difference between them is how much attention each one asks for, not whether it asks at all.