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Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option
About
Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option
Security Report
TeleMem is a memory management system for AI agents with generally sound architecture and appropriate use of external APIs. The codebase demonstrates proper use of environment variables for credentials and reasonable permission scoping for a developer tools category server. However, there are several code quality and security concerns including inconsistent error handling, potential information disclosure through logging, and incomplete input validation that warrant attention before production deployment. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
4 files analyzed · 11 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: OPENAI_API_KEY
Environment variable: TELEMEM_CONFIG
Environment variable: TELEMEM_DEFAULT_USER_ID
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-teleai-uagi-telemem": {
"env": {
"OPENAI_API_KEY": "your-openai-api-key-here",
"TELEMEM_CONFIG": "your-telemem-config-here",
"TELEMEM_DEFAULT_USER_ID": "your-telemem-default-user-id-here"
},
"args": [
"telemem"
],
"command": "uvx"
}
}
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