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NornicDB

Active·★ 753·NOASSERTION·Updated 2026-05-29
★ Hidden Gem★ RAG / Knowledge Base★ LLM Infra

NornicDB is a high-performance graph + vector database built for AI agents and knowledge systems. It speaks Neo4j's (Bolt + Cypher) and qdrant's (gRPC) languages so you can use Nornic with zero code changes, while adding intelligent features including a graphql endpoint, air-gapped embeddings, GPU accelerated search, and other intelligent features.

NornicDB is a high-performance graph database designed for AI agents and knowledge systems. It is Neo4j-compatible, offering intelligent features like automatic relationship discovery, memory decay, and native GPU-accelerated vector search.

#Graph Database#AI Agents#Knowledge Graph#Neo4j Compatible#GPU Acceleration#Vector Search#Cypher#Go
$ Install
$ docker run -d --name nornicdb -p 7474:7474 -p 7687:7687 -v nornicdb-data:/data timothyswt/nornicdb-arm64-metal-bge:latest
↗ Visit site★ GitHub
01

Features

01Neo4j Compatible
02Intelligent Memory with Decay Tiers
03Automatic Relationship Discovery
04GPU-accelerated Native Vector Search
05Heimdall AI Assistant
02

Compatibility

Docker
Deployment
Verified via docs
Apple Silicon (macOS)
Platform
Verified via docs
NVIDIA GPU (Linux/Windows)
Platform
Verified via docs
CPU (Linux/Windows)
Platform
Verified via docs
Go
Runtime
Verified via docs
Neo4j Protocol
Compatibility
Verified via docs
03

Quick start

1
$ docker run -d --name nornicdb -p 7474:7474 -p 7687:7687 -v nornicdb-data:/data timothyswt/nornicdb-arm64-metal-bge:latest
04

Use cases

↳AI Agent Memory
↳Knowledge Graphs
↳
↳RAG Systems
↳Session Context Management
↳Research Tools
05

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Related searches

NornicDB AlternativesBest Voice / Speech Tools 2026Open Source Voice / SpeechNornicDB TutorialNornicDB Vs CompetitorsGraph DatabaseAI AgentsKnowledge Graph

Comments

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  • C
    Casey WilsonMay 23, 2026

    Great for building retrieval systems where you need to query both semantic vector space and structural relationships at once.

  • Sterling Rivera
    Sterling RiveraApr 4, 2026

    The Bolt protocol compatibility is a lifesaver. Connected it to my existing Cypher queries in Python instantly.

  • R
    Reese AndersonMar 10, 2026

    Has anyone benchmarked the GPU acceleration against a standard Neo4j instance for large knowledge graphs?

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 753
Last commit1d ago
StatusActive
LicenseNOASSERTION
CategoryVoice / Speech
Trend (30d)
+30.1↑ 0.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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