Guardclaw

What it does

Hello Everyone! Hope you’re well! We just opened GuardClaw public beta. It sits between AI agents and tool access (terminal, files, MCP servers) and blocks risky actions before they run. It is local-first, rule-based, and has 0 LLMs in the security path. Stats: 7 defense layers, 1,500+ detection patterns across 11 attack categories.  Works with Claude Code, Codex CLI, OpenClaw, Claude Desktop, plus Docker/MCP setups. Try it and tell us what breaks or feels missing!

GuardClaw blocks risky AI agent actions before they run. Deterministic policy on every tool call, runs locally in your infrastructure. Free public beta.

GuardClaw is runtime security for teams building tool-using agents. Policy checks on every tool call, seven layers of defense, and a tamper-evident receipt for every decision, running locally on your hardware. AI security has three layers. Most tools live in the first two. GuardClaw owns the third: the runtime, where an agent actually invokes tools, reads files, and calls out. Catches vulnerabilities in your source before it runs. Necessary, but blind once the agent is live. Checks prompts in and responses out. Helpful at the model's edge, but the plan still has to execute. Shell commands, file reads, edits, and web fetches the agent makes are checked against policy in the fast path, before…from takeinterest.ai

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