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/100
Unscored
○ Unscored 0⁄0
mem-context
Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.
Unscored visibility
— 0/0 applicable dimensions scored
○ Schema Quality
— Protocol
— Reliability
○ Docs & Maintenance
○ Security Hygiene
— Schema Interpretability
Schema Quality
—
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
—
25% weight
Security Hygiene
—
33% weight