Provides persistent semantic memory and knowledge graph capabilities through PostgreSQL with pgvector for vector similarity search using Aliyun's text-embedding-v3 model. Features traditional memory storage with confidence scoring and decay algorithms, plus a bidirectional knowledge graph for entity relationships. Includes LRU caching for embeddings, hybrid search combining vector and keyword matching, memory access tracking, and comprehensive audit logging for persistent conversational context and complex knowledge representation.
Cognium trust score
86%
Tier
Verified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-19.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.