NornicDB
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes. Then, adding intelligent features like schemas, managed embeddings, LLM reranking+inferrence, GPU accel, Auto-TLP, Memory Decay, and MCP server.
- Real-time entity relationship queries with vector similarity re-ranking
- Temporal audit logs with point-in-time graph reconstruction
- LLM-augmented knowledge graphs with managed embeddings
Combines graph traversal, vector search, and temporal versioning in a single low-latency system with sub-millisecond query response. Reduces architectural complexity by eliminating the need to sync separate graph and vector databases.
Teams building knowledge graphs, recommendation engines, or temporal audit trails that need both relationship queries and semantic similarity search without operational overhead of multiple datastores.
https://github.com/orneryd/NornicDB
By orneryd
How to Get It
claude plugins install orneryd/NornicDB
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Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- NornicDB - MacOs native graph-rag memory system for all your LLM agents to share — Reddit · 75 pts
- NornicDB - drop-in replacement for neo4j - MIT - GPU accelerated vector embeddin — Reddit · 55 pts
- I’m looking for a small number of maintainers for NornicDB — Reddit · 42 pts
23 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 657 GitHub stars; 6 contributors; last commit 26d ago; license MIT.
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Evaluation
Scored from trust signals (evidence-eval-v1): 657 GitHub stars; 6 contributors; last commit 26d ago; license MIT.