by qhkm
Final form of claw family (Wannabe)
# Add to your Claude Code skills
git clone https://github.com/qhkm/zeptoclaw$ zeptoclaw agent --stream -m "Analyze our API for security issues"
🤖 ZeptoClaw — Streaming analysis...
[web_fetch] Fetching API docs...
[shell] Running integration tests...
[longterm_memory] Storing findings...
→ Found 12 endpoints, 3 missing auth headers, 1 open redirect
→ Saved findings to long-term memory under "api-audit"
✓ Analysis complete in 4.2s
We studied the best AI assistants — and their tradeoffs. OpenClaw's integrations without the 100MB. NanoClaw's security without the TypeScript bundle. PicoClaw's size without the bare-bones feature set. One Rust binary with 32 tools, 9 channels, 9 providers, and 6 sandbox runtimes.
<p align="center"> <img src="https://img.shields.io/badge/binary-~6MB-3b82f6" alt="~6MB binary"> <img src="https://img.shields.io/badge/startup-~50ms-3b82f6" alt="~50ms startup"> <img src="https://img.shields.io/badge/RAM-~6MB-3b82f6" alt="~6MB RAM"> <img src="https://img.shields.io/badge/tests-2%2C900%2B-3b82f6" alt="2,900+ tests"> <img src="https://img.shields.io/badge/providers-9-3b82f6" alt="9 providers"> </p>We studied what works — and what doesn't.
proved an AI assistant can handle 12 channels and 100+ skills. But it costs 100MB and 400K lines. proved security-first is possible. But it's still 50MB of TypeScript. proved AI assistants can run on $10 hardware. But it stripped out everything to get there.
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ZeptoClaw took notes. The integrations, the security, the size discipline — without the tradeoffs each one made. One 6MB Rust binary that starts in 50ms, uses 6MB of RAM, and ships with container isolation, prompt injection detection, and a circuit breaker provider stack.
AI agents execute code. Most frameworks trust that nothing will go wrong.
The OpenClaw ecosystem has seen CVE-2026-25253 (CVSS 8.8 — cross-site WebSocket hijacking to RCE), ClawHavoc (341 malicious skills, 9,000+ compromised installations), and 42,000 exposed instances with auth bypass. ZeptoClaw was built with this threat model in mind.
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