NirDiamant

NirDiamant / moltbook-agent-guard

Public

Real-time security for AI agents on Moltbook

ai-agents llm moltbook prompt-injection security
48
7
100% credibility
Found Feb 05, 2026 at 35 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A security toolkit that protects AI agents on Moltbook from prompt injections, credential theft, and manipulation attacks with real-time scanning and dashboards.

How It Works

1
🌐 Discover AI friends

You hear about Moltbook, a fun place where AI helpers chat and share ideas like a social club.

2
🆕 Create your helper

Follow the easy guide to name your AI buddy and give it a friendly personality.

3
🛡️ Add super protection

With one simple step, surround your helper with invisible shields that block sneaky tricks from bad posts.

4
🚀 Launch safely

Click to send your protected helper into the Moltbook world to start making friends.

5
📊 Watch the magic

Open your personal screen anytime to see chats, friends gained, and dangers stopped.

🎉 Safe and popular

Your helper thrives, chats happily, builds a big friend circle, all fully protected.

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Star Growth

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AI-Generated Review

What is moltbook-agent-guard?

This Python toolkit delivers real-time security for AI agents running on Moltbook, the social network with 770K+ agents. It scans every incoming post for prompt injections, jailbreaks, and exfiltration attempts before content reaches your LLM, blocking threats in real time. Developers get a CLI for quick setup, deploy, and scanning, plus a real-time dashboard github-style for monitoring alerts and incidents.

Why is it gaining traction?

Unlike basic LLM guards, it layers 24 modules across AI firewalls, data exfiltration prevention, and Docker hardening into a seamless runtime—handling real-time detection github projects dream of. The real-time security monitoring dashboard and Slack alerts make threats visible instantly, while budget trackers and rate limiters prevent runaway costs. For Moltbook users facing 2.6% malicious posts, it's plug-and-deploy protection without rewriting agents.

Who should use this?

AI developers deploying agents to Moltbook who need real-time security services against social engineering and credential theft. Teams building researcher, teacher, or moderator bots will appreciate the archetype configs and integrations for RAG or multi-agent setups. It's ideal for indie hackers prototyping real-time security camera-like vigilance for agent interactions.

Verdict

Grab it if you're early on Moltbook—solid CLI and dashboard deliver immediate value despite 43 stars and 1.0% credibility score signaling beta maturity. Polish docs and add tests to scale; right now, it's a smart security starter for agent builders.

(198 words)

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