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Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option
Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option
TeleMem is a sophisticated memory management system with reasonable security practices for its purpose as a developer tool. The codebase demonstrates proper dependency management and sensible defaults (telemetry disabled, local-first architecture). However, several medium-severity concerns exist: environment variable exposure risks in the MCP server configuration, insufficient input validation in multimodal processing, and overly broad exception handling that could mask errors. These issues are manageable but should be addressed before production deployment in sensitive environments. Package verification found 1 issue.
4 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: OPENAI_API_KEY
Environment variable: TELEMEM_CONFIG
Environment variable: TELEMEM_DEFAULT_USER_ID
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"
}
}
}Be the first to review this server!
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