85
/100
A
◔ Limited 3⁄4
widemem-ai
Open-source AI memory layer for LLM agents. Importance scoring, temporal decay, hierarchical memory (facts, summaries, themes), YMYL prioritization, and active retrieval with contradiction detection. Supports OpenAI, Anthropic, Ollama. Local-first with SQLite + FAISS.
Anthropic
Ollama
OpenAI
SQLite
Glama
Outdated MCP Spec
Limited visibility
— 3/4 applicable dimensions scored
✓ Schema Quality
○ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
A remote probe is needed for Protocol and Reliability scores.
Schema Quality
90
25% weight
Protocol Compliance
—
20% weight
Reliability
—
20% weight
Docs & Maintenance
83
15% weight
Security Hygiene
81
20% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 90 | Good |
| Documentation Coverage | 93 | Good |
| Maintenance Pulse | 80 | Good |
| Dependency Health | 50 | Fair |
| License Clarity | 100 | Good |
| Version Hygiene | 90 | Good |
Analyzed 1 month, 1 week ago
Add this to your README to display your MCP Scoreboard grade:
