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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's MCP server (telemem/mcp/server.py) exposes local memory operations (add, search, list, update, delete) through well-scoped tools with honest read-only and destructive annotations, and it avoids external calls of its own. Remaining concerns are minor: the server binds HTTP transports without an auth layer, and the default user scope is shared across callers when no user_id is supplied. The baseline memobase code shows hardcoded placeholder keys and a 0.0.0.0 bind in an example, which are not part of the primary server. Supply chain analysis found 10 known vulnerabilities in dependencies (1 critical, 3 high severity). Package verification found 1 issue.
20 files analyzed · 19 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": [
"-y",
"@memobase/memobase"
],
"command": "npx"
}
}
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