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#graph-database

Massive Parallel Imports in Neo4j Without Deadlock and Lock Contention

Lobsters Hottest ↗ · yesterday Cached

The article proposes an improved method for massive parallel imports in Neo4j, using hash-based partitioning and the k-1 coloring algorithm to avoid deadlock and lock contention during data loading.

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#graph-database

@svpino: As soon as you try to run 2 agents on the same data, everything breaks: • Agent 1 reads some data and starts working. •…

X AI KOLs Timeline ↗ · 4d ago Cached

Omnigraph is an open-source graph database designed for coordinating multiple AI agents, preventing data conflicts and improving efficiency in multi-agent systems.

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#graph-database

@neo4j: A practical, engineering-focused approach to building a semantic layer on Neo4j with ontology at the core, with @Barras…

X AI KOLs Timeline ↗ · 2026-08-28 Cached

This webinar provides a practical engineering-focused approach to building a semantic layer on Neo4j using ontology, emphasizing benefits for AI-driven applications and data consistency.

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#graph-database

Show HN: LatticeDB – Like SQLite but for graph databases

Hacker News Top ↗ · 2026-08-25 Cached

LatticeDB is an embedded property-graph database that integrates vector and full-text indexing into a single-file format, enabling graph traversal, similarity search, and BM25 search in one query layer for local applications.

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#graph-database

I Analyzed 163K Lines of Kuzu's Codebase. Here's Why Apple Wanted It

Hacker News Top ↗ · 2026-08-16 Cached

The article analyzes the codebase of Kuzu, an embedded graph database acquired by Apple, highlighting architectural decisions like factorized execution and worst-case optimal joins that support Apple's on-device AI strategy.

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#graph-database

@Sprytixl: ANTHROPIC'S LEAD ENGINEER WON A $1.2M BONUS FOR A SYSTEM THAT TURNS ANY DATA CHAOS INTO A GRAPH IN 8 STEPS raw chaos in…

X AI KOLs Timeline ↗ · 2026-07-26 Cached

An Anthropic lead engineer's 8-step pipeline transforms chaotic data into a self-updating graph, boosting productivity by 42% and winning a $1.2M bonus.

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#graph-database

YouTrackDB is a general-use object-oriented graph database

Hacker News Top ↗ · 2026-07-14 Cached

JetBrains has open-sourced YouTrackDB, a general-use object-oriented graph database with features like O(1) link traversal, snapshot isolation, TinkerPop/Gremlin support, and a custom SQL-based query language YQL. It is used internally in production and is available under Apache 2.0.

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#graph-database

HydraDB OSS

Product Hunt ↗ · 2026-07-10 Cached

HydraDB OSS is an open-source graph database designed for AI applications, offering fast, low-latency performance with minimal operational overhead by leveraging object storage.

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#graph-database

BaryGraph - knowledge graph where every relationship is its own embedded document (not an edge) [R]

Reddit r/MachineLearning ↗ · 2026-07-04

BaryGraph introduces a novel knowledge graph where every relationship is a first-class embedded document (BaryEdge) rather than an edge between nodes, enabling recursive abstraction triads that surface structural bridges between distant concepts. The preprint includes benchmarks showing structural metrics correlate with human similarity judgments better than cosine similarity alone.

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#graph-database

Kb – Prolog Knowledge Base

Hacker News Top ↗ · 2026-06-27 Cached

Kb is a local-first, hyper-relational knowledge base built in Prolog with content-addressable storage, time-travel versioning, and a Raylib-based GUI, developed as a Master's thesis prototype.

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#graph-database

Fluree DB (GitHub Repo)

TLDR AI ↗ · 2026-06-24 Cached

Fluree DB is an open-source, temporal graph database with git-like branching, integrated vector/text/geo search, fine-grained access control, and support for SPARQL, JSON-LD, and Open Cypher. It is optimized for AI agent memory and achieves high performance on billion-scale graphs.

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#graph-database

Show HN: BlitzGraph – Supabase for graphs, built for LLM agents

Hacker News Top ↗ · 2026-06-16 Cached

BlitzGraph is a backend service for graph databases, designed as an AI-native alternative to Supabase tailored for LLM agents.

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#graph-database

Show HN: HelixDB – A graph database built on object storage

Hacker News Top ↗ · 2026-06-10 Cached

HelixDB is a graph-vector database built in Rust for knowledge graphs and AI memory, offering a unified platform that supports graph, vector, KV, document, and relational data models, with tools for easy local and cloud deployment.

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#graph-database

Property Graphs

Lobsters Hottest ↗ · 2026-06-09 Cached

PostgreSQL documentation introduces property graphs, a SQL/PGQ feature that allows querying relational data using graph pattern matching syntax, defined as read-only views over tables.

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#graph-database

I Stopped Fighting AI Memory Problems and Started Modeling Them

Reddit r/AI_Agents ↗ · 2026-06-03

The author details their journey from a flat vector store to a graph database (FalkorDB) for AI memory, enabling multi-hop reasoning, temporal queries, and provenance tracking in their LocalClaw project.

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#graph-database

All AI memory solutions look the same until you actually benchmark them

Reddit r/AI_Agents ↗ · 2026-05-29

A transparent comparison of three open-source AI memory backends (Atomic Memory, Mem0, Zep) covering license, setup, provider support, and unique features like AUDN classification.

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#graph-database

@daleverett: https://x.com/daleverett/status/2057543057420251637

X AI KOLs Timeline ↗ · 2026-05-21 Cached

pgGraph v0.1.1 is an open-source, high-performance graph traversal extension for PostgreSQL written in Rust, enabling graph superpowers for Postgres users.

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#graph-database

Why Vector RAG fails for AI coding agents at scale (And how I used a Neo4j graph to fix it)

Reddit r/ArtificialInteligence ↗ · 2026-05-18

A new open-source tool called Writ uses a hybrid retrieval pipeline with BM25, ONNX vectors, and Neo4j graph traversals to provide context rules for AI coding agents, reducing token bloat by 726x and enforcing plan approval via bash hooks.

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#graph-database

How I wired a Graph DB on top of my vector store to scale 1K agents for 2 months, because vector search alone fails when user preferences change over time.

Reddit r/AI_Agents ↗ · 2026-05-18

A detailed architectural guide for building long-running AI agents that handle changing user preferences over time by combining a vector store, graph DB, and temporal edges instead of overwriting data.

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#graph-database

Save your tokens on Claude Code

Reddit r/AI_Agents ↗ · 2026-05-16

A user shares a custom harness for Claude Code that uses RAG with a graph database and bash script hooks to prevent context stuffing, saving tokens.

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