n8n-claw: OpenClaw-inspired autonomous AI agent built entirely in n8n

by freddy-schuetz · MCP Server · ★ 550

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install n8n-claw

git clone https://github.com/freddy-schuetz/n8n-claw.git && cd n8n-claw && ./setup.sh

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentaiai-agentai-agent-frameworkai-agentsai-agents-frameworkcrawl4aicrawl4ai-scraperframeworkmcp

Quick Facts

Stars550
Forks104
LanguageShell
CategoryMCP Server
Quality Score66/100
Open Issues5
Last Updated2026-08-28
Created2026-02-28
Platformscli, mcp
Est. Tokens~16k

About n8n-claw

🤖 n8n-claw — Self-Hosted AI Agent A fully self-hosted AI agent built on n8n + PostgreSQL + Claude. Talks to you via Telegram, builds its own MCP tools, manages reminders and memory — all running on your own infrastructure. What it does Talk to your agent in natural language — it manages tasks, remembers context across conversations, builds API integrations, and proactively keeps you on track.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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