82
/100
B
◉ Complete 5⁄5
MCP AI Memory
Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.
PostgreSQL
Glama
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
100
25% weight
Protocol Compliance
60
20% weight
Reliability
—
20% weight
Docs & Maintenance
75
15% weight
Security Hygiene
81
20% weight
Schema Interpretability
90
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 100 | Good |
| Description Quality | 100 | Good |
| Documentation Coverage | 71 | Good |
| Maintenance Pulse | 68 | Fair |
| Dependency Health | 75 | Good |
| License Clarity | 100 | Good |
| Version Hygiene | 80 | Good |
Analyzed 1 month ago
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