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safeclaw

v0.1.6

Published

Security management dashboard for AI agents – intercept, monitor, and control what AI agents can do on your system

Readme

SafeClaw

A security firewall for AI agents. Intercept dangerous commands, monitor agent activity in real time, and control what your AI can access — all from a local dashboard.

Quick Start

npx safeclaw start

Opens a dashboard at http://localhost:54335 where you can:

  • Block dangerous commands before they execute (rm -rf, sudo, curl|bash, etc.)
  • Monitor every action your AI agent takes in a visual timeline
  • Control access to files, network, MCP servers, and system commands
  • Detect secrets leaked in agent output (AWS keys, API tokens, credentials)
  • Analyze threats across 10 categories with OWASP-referenced findings

How It Works

SafeClaw sits between your AI agent and your operating system. When an agent tries to run a shell command, SafeClaw checks it against a configurable blocklist. Dangerous commands are held for your approval. Everything else is logged and analyzed for threats.

AI Agent  →  SafeClaw (intercept + analyze)  →  Your System
                  ↓
          Dashboard (approve / deny / monitor)

Features

  • Command Interception — Blocklist-based approval system for shell commands
  • Threat Analysis — 200+ patterns across 10 threat categories (data exfiltration, privilege escalation, prompt injection, and more)
  • Secret Detection — Scans for 15+ credential types (AWS, OpenAI, GitHub, Stripe, PEM keys, JWTs, etc.)
  • Session Timeline — Grouped activity view showing exactly what the agent did and why
  • Access Toggles — One-click enable/disable for filesystem, network, MCP servers, and system commands
  • Remediation Guidance — Actionable advice for every detected threat

Requirements

  • Node.js >= 20
  • Currently supports OpenClaw agents

License

AGPL-3.0 — see LICENSE for details.

Learn more at safeclaw.io.