Security layer for autonomous coding.
Because your AI loves slopsquatting.
Your AI confidently installed what?
react-router-v7-fake1 day old / 4 downloadsLLMs are incredible coders. They are also genuinely terrible at remembering exact npm package names. They will confidently tell Claude to install react-router-dom-v7-next-beta like they have used it a thousand times. They have not. Nobody has. The package was registered yesterday by someone who knew this moment was coming.
Agentinel sits between the AI and your terminal. Every install request is scanned against an extensive threat database and heuristic checks before a single byte hits disk. Locally. With ultra-low latency.
Features
Guarding your terminal is already too late.
Agentinel intercepts the AI before the damage is done.
AI Self-Correction Loop
The agent corrects itself.
Agentinel feeds a structured JSON block back into the AI context so it understands what was blocked and why, then self-corrects without human intervention.
Deep Tree Scanning
All 67 packages. Not just one.
npm install express brings in its full dependency tree. We scan every single one.
Slopsquatting Protection
Heuristics that catch ghosts.
Zero-day threats not in any DB yet? Heuristics like package age, downloads, and publisher drift help mitigate them before execution.
CI and CD Fallbacks
Scan any manifest. Anywhere.
Gate your deployments before malicious packages slip past code review. Works in GitHub Actions, GitLab CI, or any pipeline.
How it Works
How Agentinel Works
Step 01
Intercept
Agentinel registers as a PreToolUse hook with your AI agent runtime. Every shell command the agent proposes passes through Agentinel first, before any execution.
Step 02
Scan
The full dependency tree is resolved locally and checked against an extensive database of known malicious packages. Heuristic checks fire simultaneously for slopsquatting detection.
Step 03
Block
If a threat is detected, Agentinel halts the install. In warn mode it alerts; in strict mode it stops cold. Never permanently blocks your terminal. Ultra-low latency.
Step 04
Self-Correct
The block context is serialized as JSON and fed back into the AI agent's context window. The agent understands what was wrong and self-corrects autonomously.
Comparison
How does it compare?
Agentinel vs commercial and enterprise security alternatives.
| Feature | Agentinelfree | Commercial Alternatives |
|---|---|---|
| Cost | Free, always | Paid tiers / per-seat |
| Privacy | 100% local, zero cloud | Cloud-scanned by vendor |
| Agent Hooking | PreToolUse hook, native | Wrapper scripts only |
| AI Feedback Loop | JSON context injection | None (blocks silently) |
| Setup | npm install, one flag | Config files + auth |
| Threat Database | Extensive OSV DB | Proprietary / opaque |
| Feed Freshness | Synced from OSV feed | Real-time / variable |
| Detection Method | DB + heuristics | DB + ML (black-box) |
| License | MIT, open source | Proprietary |
Where we honestly fall short, and how we compensate:
- ~Feed Freshness: Our local OSV database lags 1-3 days behind the live feed. We compensate with zero-cost heuristics that catch slopsquatting and hallucinated packages the moment they appear, before they are even in any DB.
- ~Detection Depth: We use DB matching plus heuristics rather than ML behavioral analysis. We compensate by being the only tool that integrates at the AI agent hook level, blocking threats before execution rather than scanning after the fact.
Comparison reflects general market characteristics as of 2026. Individual products may vary.
Secure your AI agents quickly and easily.
For free. Always.
No account. No server. No configuration required. Just a single npm command to lock down your terminal.