OpenClaw vs NanoClaw vs ZeroClaw: Which Open Agent Should You Run?
The open agent space is growing fast. Here's how the three main options compare — and how to pick the right one for you.

Quick Answer
OpenClaw is the best starting point for most people — it has the largest skills ecosystem, the best documentation, and the most community support. NanoClaw is the right choice if security is your primary concern. ZeroClaw is best if you're running on constrained hardware and want the leanest possible footprint.
Introduction
OpenClaw launched the personal AI agent movement, but it's no longer the only game in town. A wave of alternatives has emerged, each built to address different priorities. If you're deciding which open agent to run, this guide gives you an honest breakdown of the three most talked-about options in 2026.
OpenClaw
OpenClaw is the original and by far the most widely used open personal AI agent. It has over 163,000 GitHub stars, 13,700+ community-built skills on ClawHub, integrations with 50+ messaging channels, and more tutorials, walkthroughs, and community help than any alternative can match.
What it's good at: Breadth. If you want to do something with your agent, there's almost certainly a ClawHub skill for it. The documentation and community make it the easiest to get started with, and the setup wizard means you can have an agent running in about 15 minutes without prior experience.
Where it falls short: OpenClaw has a large surface area, which means a larger potential attack surface. It runs a background process with significant system access, and the community skills ecosystem — while vast — has had isolated security incidents in the past. It also runs with a relatively high memory footprint of around 200MB at idle.
Best for: First-time agent users, people who want maximum flexibility, anyone who wants to tap into the full skills ecosystem without building anything themselves.
NanoClaw
NanoClaw was built as a deliberate counterpoint to OpenClaw. The entire codebase is around 500 lines of TypeScript, built directly on Anthropic's Agent SDK. Each agent runs in its own isolated container — Docker or macOS Apple Container — so even if something goes wrong, the potential damage is completely sandboxed away from the rest of your system.
What it's good at: Security and transparency. Because the codebase is tiny, you can actually read and understand every line of it. You know exactly what it does and doesn't do. The containerised execution model means you can grant your agent system access without the risk of a misbehaving agent affecting anything outside its sandbox.
Where it falls short: NanoClaw doesn't have ClawHub or anything like it. It's more of a foundation to build on than a ready-to-use personal assistant. If you want a morning briefing skill or a Notion integration out of the box, you'll need to build or adapt those yourself. This is a tool for people who are comfortable with that tradeoff.
Best for: Security-conscious users, people who want to understand exactly what's running on their machine, and anyone building something production-grade on top of an agent framework.
ZeroClaw
ZeroClaw rewrites the agent concept in Rust, with a focus on speed and efficiency. In benchmarks, it runs tasks 14 times faster than OpenClaw and idles at around 38MB of memory — compared to OpenClaw's 200MB+. Tool execution happens inside a WASM sandbox, and credentials are encrypted at rest.
What it's good at: Performance. If you're running your agent on constrained hardware — a Raspberry Pi, a cheap cloud server, an edge device — ZeroClaw's resource efficiency is a real and meaningful advantage. The WASM sandbox also provides solid security isolation without requiring a full container runtime.
Where it falls short: ZeroClaw is newer and has a smaller community. Documentation is thinner in places, and you may run into rough edges that haven't been smoothed yet. The skills ecosystem is limited compared to ClawHub, so you'll have less ready-to-install functionality out of the box.
Best for: Users deploying on low-powered or edge hardware, anyone who wants native-speed performance, and security-conscious users who want isolation without the Docker overhead.
How to Choose
If you're trying your first AI agent and you want to see what the fuss is about, start with OpenClaw. The setup is well-documented, the skills ecosystem means you'll find things to do with it immediately, and the community will help if you get stuck. You can always move to something more specialised once you know what you actually need.
If security is your primary concern — you're handling sensitive data, running this in a professional context, or you just want to know exactly what's on your machine — start with NanoClaw or ZeroClaw. You'll have less out-of-the-box capability, but more control.
If you're deploying on a Raspberry Pi, a small VPS, or any resource-constrained environment, ZeroClaw is the obvious choice.
Running Any of These on Tulip
Tulip supports all three frameworks. Whether you want to run OpenClaw with full skills support, deploy NanoClaw in an isolated container environment, or run ZeroClaw on lean dedicated inference, Tulip provides the infrastructure and tooling to keep your agent running 24/7 without managing servers yourself.
Frequently Asked Questions
Can I switch agents later?
Yes, though it's not a one-click migration. Skills and configurations don't transfer automatically between frameworks. Most people who switch treat it as a fresh start rather than a migration, rebuilding with what they've learned from the first setup.
Are there other open agents worth looking at?
A few. MemU focuses on memory and personalisation, building a local knowledge graph of your preferences over time — worth looking at if that's a priority. TrustClaw is a managed option that gives you OpenClaw-style capability with 24/7 availability and tighter credential handling if you don't want to self-host. The space is moving quickly and new options appear regularly.
Which agent does Tulip recommend?
Tulip is agent-agnostic and supports all open frameworks. OpenClaw is the most popular choice among Tulip users right now because of its ecosystem and documentation, but the right answer depends on what you're trying to do.
Is NanoClaw really more secure than OpenClaw?
NanoClaw's container-based isolation provides stronger default security guarantees than a standard OpenClaw install. OpenClaw can be sandboxed too — it just requires more configuration to get there. NanoClaw makes isolation the default rather than something you have to set up yourself.
