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Behavioral memory layer for AI tools. Learns preferences and context across Claude, Cursor, Codex.
About
Behavioral memory layer for AI tools. Learns preferences and context across Claude, Cursor, Codex.
Security Report
Agent Magnet is a behavioral memory system with reasonable architecture but has several moderate security concerns. The main issues are: (1) unvalidated environment variable usage and lack of input sanitization on LLM prompts (injection risk), (2) API credentials passed through multiple layers with minimal protection, (3) broad network access for LLM calls without scope validation, and (4) insufficient logging of sensitive operations. The system's permissions align with its purpose (memory management, LLM integration), but credential handling and prompt injection mitigations need strengthening. Supply chain analysis found 24 known vulnerabilities in dependencies (4 critical, 14 high severity). Package verification found 1 issue.
5 files analyzed · 35 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: MAGNET_USER_ID
Environment variable: MAGNET_OPENAI_KEY
Environment variable: MAGNET_LOCAL_MODE
Environment variable: MAGNET_REDIS_URL
Environment variable: MAGNET_PROJECT_ID
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-helinakdogan-agent-magnet": {
"env": {
"MAGNET_USER_ID": "your-magnet-user-id-here",
"MAGNET_REDIS_URL": "your-magnet-redis-url-here",
"MAGNET_LOCAL_MODE": "your-magnet-local-mode-here",
"MAGNET_OPENAI_KEY": "your-magnet-openai-key-here",
"MAGNET_PROJECT_ID": "your-magnet-project-id-here"
},
"args": [
"agent-magnet"
],
"command": "uvx"
}
}
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