Comparisons
ZeroClaw vs OpenClaw
Both projects answer the same question — "can I run a capable AI assistant on my own machine, wired into my own chat apps, pointed at the model I choose?" — but they sit at opposite ends of one axis: footprint versus ecosystem. This comparison is based on the official ZeroClaw repository and docs (v0.8.5) and the official OpenClaw docs, checked on . Where a number comes from a third party rather than the project itself, we say so.
Short answer
- ZeroClaw is a single Rust binary with no Node.js dependency, officially described as an agent runtime talking to ~20 LLM providers over 30+ channels — pick it when your machine is small, your budget is tight, or you want the agent on a Pi-class board.
- OpenClaw is the more mature ecosystem: a Node.js Gateway (Node 24.16+/26.1+), a plugin marketplace (ClawHub), native mobile apps, and governance by an independent 501(c)(3) foundation — pick it when you want the broadest channel and plugin support over minimal resource use.
- The widely quoted "<5 MB RAM, <10 ms cold start" figures for ZeroClaw are third-party benchmarks, not official numbers — ZeroClaw's own README and docs publish no performance benchmarks at all. Treat them as directionally right (single-digit MB, near-instant start) but unverified by the project.
What the two projects actually are
OpenClaw describes itself as "your AI assistant, on your own hardware, in every chat app you already use. One Gateway. Any model. Any device." It is developed in the open by the OpenClaw Foundation, an independent 501(c)(3), with no paid tier and no telemetry by default beyond a version check you can turn off. Runtime-wise it is a Node.js application: the official install page requires Node 24.16+ or 26.1+ (the installer provisions Node automatically), and it ships a browser Control UI plus a ClawHub plugin marketplace.
ZeroClaw calls itself an agent runtime: "a single binary you configure and run." It talks to LLM providers (Anthropic, OpenAI, Ollama, and ~20 others), reaches the world through 30+ channels (Discord, Telegram, Matrix, email, voice, webhooks, your own CLI), and acts through tools including shell, browser, HTTP, and custom MCP servers. Configuration is one TOML file at ~/.zeroclaw/config.toml. It is dual-licensed MIT OR Apache-2.0, and the current release at the time of writing is v0.8.5.
Are they related? The ZeroClaw docs never mention OpenClaw — the project describes itself purely on its own terms. But the official GitHub repository tags itself with an openclaw topic, and most third-party writeups describe ZeroClaw as a Rust rewrite of, or alternative to, OpenClaw. Functionally they do occupy the same niche; treat "rewrite" as the community's framing rather than a claim the project itself makes.
The honest take on "5 MB and 10 ms"
Every comparison post we found repeats the same numbers: under 5 MB of RAM, sub-10 ms cold boot, ~3.4 MB binary, "400× faster startup than OpenClaw." None of these appear in ZeroClaw's own README or documentation. Their traceable origin is third-party coverage — early reviews and a benchmark snapshot posted around its February 2026 launch, later echoed by hosting providers' docs. The numbers also disagree with each other in the details (some third parties report ~8 MB RAM allocation, others <5 MB; "99% less memory than OpenClaw" depends on how you measure a Node.js process).
What you can say safely, from the project's own material: ZeroClaw is a compiled Rust binary with no Node runtime, its "What this isn't" page explicitly targets production 24/7 deployments on homelab SBCs, VPSes, and cloud VMs, and its hardware support list includes Raspberry Pi, STM32, Arduino, and ESP32 — hardware classes where a gigabyte-scale Node process would not fit. That is the real, verifiable story: ZeroClaw targets hardware OpenClaw cannot run on. The exact megabytes are a benchmark you should run yourself on your own box.
Side-by-side
| ZeroClaw (v0.8.5) | OpenClaw | |
|---|---|---|
| Runtime | Single Rust binary | Node.js Gateway (Node 24.16+ / 26.1+) |
| LLM providers | Anthropic, OpenAI, Ollama, ~20 more; fallback chains | "Any model"; provider config with failover, local model services |
| Chat channels | 30+ adapters: Discord, Telegram, Matrix, email, voice, webhooks, CLI | Discord, Signal, Telegram, WhatsApp, and more |
| Tools | Shell, browser, HTTP, hardware (GPIO/I2C/SPI/USB), custom MCP servers | Tools, skills, cron, webhooks; ClawHub plugin marketplace |
| Config | One TOML file | Guided onboarding CLI + browser Control UI |
| Security model | Default "supervised" autonomy; Landlock / Bubblewrap / Seatbelt / Docker sandboxes; signed tool receipts; YOLO mode for dev boxes | Policy-as-code, trust boundary docs, secrets handling, provenance |
| Surfaces | CLI, REST/WS gateway, web dashboard, ACP (JSON-RPC for IDEs) | Gateway, Control UI, mobile apps (iOS/Android), Windows/macOS Hub apps |
| Edge hardware | Raspberry Pi, STM32, Arduino, ESP32 | Raspberry Pi (server guide); phones via native apps, not as the runtime host |
| Governance | ZeroClaw Labs (trademark holder), community-maintained | OpenClaw Foundation, independent 501(c)(3) |
| License | MIT OR Apache-2.0 (dual) | Open source, foundation-governed |
Where ZeroClaw pulls ahead
Deployment floor. No Node.js, no container requirement, one binary and one TOML file. On a $5 VPS or a Pi sitting in a drawer, this is the difference between an agent that fits and one that doesn't. The official hardware docs put it on ESP32-class microcontrollers — OpenClaw's runtime has no equivalent story.
Security posture as a default. ZeroClaw ships supervised autonomy as the default (medium-risk operations need approval, high-risk are blocked), OS-level sandboxing, and cryptographic tool receipts on every action. OpenClaw documents trust boundaries and policy-as-code too, but ZeroClaw's approval gates are on by default rather than opt-in.
Where OpenClaw pulls ahead
Ecosystem depth. ClawHub is a real plugin marketplace with publishing and curation; ZeroClaw's extension story (RFC process, crates) is younger and smaller. If the capability you want exists as a ClawHub plugin, you're done; on ZeroClaw you may be writing it.
Reach. Native iOS and Android apps, a Windows Hub companion, WhatsApp and Signal channels — OpenClaw meets you in more places. Its foundation governance (a 501(c)(3) with no paid tier) also answers the "who owns this project" question more formally than a labs-and-Discord structure.
Using DeepSeek with either one
Both pair naturally with DeepSeek, which matters when the whole point of self-hosting the agent is keeping the token bill near zero — see our breakdown of the cheapest DeepSeek V4 API providers for what the model itself costs.
The integration maturity differs. OpenClaw has a first-party DeepSeek setup guide, and DeepSeek's own API documentation ships an OpenClaw integration page — that's as official as third-party-tool support gets. ZeroClaw lists DeepSeek among its ~20 providers, but its DeepSeek V4 compatibility history has been bumpier (a format-incompatibility bug filed in April 2026, closed by that June). We're publishing a dedicated ZeroClaw + DeepSeek walkthrough with the current state of that compatibility shortly. For background on wiring models into agent backends generally, see DeepSeek as a coding agent backend, and for the tool protocol both runtimes support, What Is MCP?
Which one should you pick
Pick ZeroClaw if your constraint is the machine, not the ecosystem: small VPS, homelab SBC, a board on GPIO pins, or anything where a Node.js process is the heaviest thing on the box. Its supervised-by-default security is also the better starting point if the agent will run shell commands unattended.
Pick OpenClaw if your constraint is capability: you want WhatsApp and Signal today, phone apps, a plugin marketplace, and a foundation that has committed to no paid tier. You'll pay for that with a Node.js runtime and more moving parts.
And if you came here from a post quoting "5 MB and 10 ms" as fact: that's the community's benchmark, not the project's. Both projects are free, so the cheapest honest comparison is an afternoon and two installs.
Checked September 22, 2026. ZeroClaw facts verified against the official repository (v0.8.5) and docs.zeroclaw.com; OpenClaw facts against docs.openclaw.ai. Third-party performance figures are attributed as such and were not independently reproduced by us; this article is based on official sources and issue trackers, not hands-on benchmarks. Numbers and issue states reflect the sources as of the checked date.
Sources: ZeroClaw official repository · ZeroClaw Docs — Introduction · ZeroClaw Docs — What this isn't · OpenClaw Docs — Overview · OpenClaw Docs — Install · DeepSeek API Docs — Integrate with OpenClaw