ZeroClaw

Zero overhead. Zero compromise. 100% Rust. 100% Agnostic. ?? Runs on $10 hardware with <5MB RAM: That's 99% less memory than OpenClaw and 98% cheaper than a Mac mini!

Fast, small, and fully autonomous AI assistant infrastructure — deploy anywhere, swap anything.

~3.4MB binary · <10ms startup · 1,017 tests · 22+ providers · 8 traits · Pluggable everything

? Features

🏎? Ultra-Lightweight: <5MB Memory footprint — 99% smaller than OpenClaw core. 💰 Minimal Cost: Efficient enough to run on $10 Hardware — 98% cheaper than a Mac mini. ? Lightning Fast: 400X Faster startup time, boot in <10ms (under 1s even on 0.6GHz cores). 🌍 True Portability: Single self-contained binary across ARM, x86, and RISC-V.

Why teams pick ZeroClaw

Lean by default: small Rust binary, fast startup, low memory footprint. Secure by design: pairing, strict sandboxing, explicit allowlists, workspace scoping. Fully swappable: core systems are traits (providers, channels, tools, memory, tunnels). No lock-in: OpenAI-compatible provider support + pluggable custom endpoints.

Benchmark Snapshot (ZeroClaw vs OpenClaw)

Local machine quick benchmark (macOS arm64, Feb 2026) normalized for 0.8GHz edge hardware. OpenClaw NanoBot PicoClaw ZeroClaw 🦀 Language TypeScript Python Go Rust RAM > 1GB > 100MB < 10MB < 5MB Startup (0.8GHz core) > 500s > 30s < 1s < 10ms Binary Size ~28MB (dist) N/A (Scripts) ~8MB 3.4 MB Cost Mac Mini $599 Linux SBC ~$50 Linux Board $10 Any hardware $10

Notes: ZeroClaw results measured with /usr/bin/time -l on release builds. OpenClaw requires Node.js runtime (~390MB overhead). PicoClaw and ZeroClaw are static binaries.