A.L.I.C.E. Brain Core, a new HTTP API service, provides memory and reasoning for large language model (LLM) applications by using a graph database to store and retrieve conversation context. The servi…
Semantica, a Python framework with more than 8,000 GitHub stars, is positioning agent memory as an audit tool by recording decisions as first-class nodes with W3C PROV-O provenance and bi-temporal fac…
Semantica, an open-source graph-infrastructure project for AI agents, has climbed to nearly 8,000 stars on GitHub, reviving the semantic web stack (RDF, SPARQL, OWL, SHACL, PROV-O) to provide audit tr…
A developer built Dataset Automator, a multi-agent MLOps control center that converts tabular data into production-ready ML models, financial ROI reports, and EU AI Act-compliant cryptographic attesta…
A developer has built an AI Operating System for Organizations that converts scattered data from GitHub commits, pull requests, and issues into a connected graph, enabling teams to query information s…
A developer with 25 years in enterprise infrastructure argues that graph engineering is essentially a new name for entity-relationship thinking, a core discipline of enterprise architecture. The devel…
Gilead Sciences Inc. director of global product security Thomas Luu said his team uses graph neural networks with Neo4j to surface hidden fraud networks in pharmaceutical anti-counterfeiting, detectin…
Neo4j released AgentMemory for .NET, bringing graph-native short-term, long-term, and reasoning memory to Microsoft Agent Framework and Semantic Kernel developers, and published recordings from its Gr…
The Semantic Web's failure was not due to flawed ontologies but because maintaining them required human effort that couldn't keep pace with business changes, according to a former Microsoft employee w…
A developer details how the Model Context Protocol (MCP) can connect AI agents to enterprise databases such as PostgreSQL, Redis, and Neo4j, applying microservice principles to decouple agents from da…
Neo4j explains that a context graph acts as a persistent memory system for AI agents, linking long-term enterprise knowledge, short-term conversation history, and reasoning memory to ensure consistent…
Semvec, a semantic memory system from Versino PsiOmega, achieves near-mem0 quality on the LOCOMO benchmark with zero generative-LLM calls at ingest, reducing context tokens by 87% and ingest time by ~…
A developer building 2asy.ai, a Graph-RAG system for East Asian corporate intelligence, found that batch pipelines fail for incremental graph updates, causing duplicate entities and conflicting facts.…
A developer explains how Drupal websites can be enhanced with knowledge graphs, linking content entities such as nodes, taxonomy terms, users, and media to enable semantic search, personalized recomme…
A developer is building SoulFix, an AI image editor that uses a CNN-RNN architecture to interpret user intent from scribbles, and Friday, a self-aware assistant with sentiment analysis and entity reco…
Neo4j's starter repo powered the winning project at Hack the Video Agent Context Graph, a one-day hackathon hosted by HackerSquad at the AWS Builder Loft on Market Street, where 151 builders created 3…
Icite Inc. founder and CEO Wes Mullins said at the Neo4j GraphTalk event that enterprise knowledge graphs give AI agents the deterministic context needed to reduce false positives and enable autonomou…
AI engineers are reviving ontologies — data-as-graphs structures that define classes, properties, and relationships — to provide logical guardrails for probabilistic AI agents, according to UC Berkele…
Cerebras and AMD have partnered to build what they claim will be the world's fastest disaggregated AI inference solution, combining AMD's Helios rack-scale architecture for the pre-fill phase with the…
Knowledge graph architecture is emerging as the essential intelligence layer for enterprise AI, giving organizations ownership of the AI intelligence they create, according to Shan Rizvi, founder and …