Neo4j

Headlines · 6

1. 3d
   Cloudera launches AI Blueprints with Nvidia technology

   Cloudera announced Cloudera Blueprints, a portfolio of ready-to-deploy AI applications built with Nvidia reference workflows, Nvidia Agent Toolkit, and the Cloudera AI development platform. The initial applications cover financial transaction analysis, automated clinical documentation, telecom network configuration, and synthetic video detection. Cloudera also expanded its ecosystem with Neo4j graph technology and partnerships with Mistral AI and Vast Data.

   SiliconANGLE AI · 🔥 0
2. Oct 15
   PentAGI: open-source autonomous penetration testing multi-agent system

   The project README describes PentAGI as an open-source, self-hosted multi-agent system for autonomous penetration testing, developed by VXControl, a security engineering company based in Dubai. It says a user describes a target and goal in plain language; specialized AI agents plan the work and run 20+ professional tools such as nmap, Metasploit and sqlmap inside an isolated Docker sandbox, remember what they learned and return a report. The README also says results and successful approaches are stored in PostgreSQL with pgvector, with an optional Neo4j-based Graphiti knowledge graph, and that the system supports 10+ cloud LLM providers, an OpenAI-compatible gateway and local models through Ollama or vLLM. These are the project's own claims.

   GitHub Trending（每日） · 🔥 0
3. Oct 12
   BotMan AI uses knowledge graphs to modernize legacy applications

   In an interview with theCUBE, BotMan AI founder and CTO Alejandro D'Andrea said the company runs an AI-powered migration pipeline that maps an application's dependencies, business logic and data models into a knowledge graph so agents can interpret the system being rebuilt. He said the approach targets legacy code bases such as Delphi, Visual Basic and Oracle Forms, ingesting the whole system at once and migrating it "fully autonomously," re-architecting rather than simply translating old code into a newer language. D'Andrea added that the graph can supply reusable business context for later agent tasks, linking unstructured information to entities such as people, projects and products.

   SiliconANGLE AI · 🔥 0
4. Oct 11
   Flahy taps knowledge graphs to power AI clinical decision support

   Healthcare technology company Flahy is applying knowledge graphs to clinical decision support. Founder and CEO Jagjit Singh said in a theCUBE + NYSE Wired: AI Luminaries interview that the knowledge layer connects the data layer to the model layer, telling the model which facts matter and what a given data point implies, and said his team spent years building a graph-based information database and training models to recognize relationships among data points. The company says it works with graph technology vendors including Neo4j, and that its consumer offering, FlahyLife, combines biological and health information to guide prevention, early detection and treatment selection; Singh added that Flahy is working with clinical laboratories and health systems to deploy the platform. No accuracy, performance or deployment-scale figures were disclosed.

   SiliconANGLE AI · 🔥 0
5. Oct 11
   Decepticon open-sources autonomous red-team agent, claims 98% on XBOW benchmark

   Decepticon is an open-source autonomous red-team agent from PurpleAILAB, published on GitHub under Apache-2.0 and available either self-hosted via Docker or through the project's cloud demo. Its documentation says it coordinates 16 specialist agents by kill-chain phase — reconnaissance, exploitation, privilege escalation, lateral movement and C2 — running commands in a Kali Linux sandbox on a separate operational network, and it can be registered as an MCP server for Claude Code or Codex. The README self-reports a 102/104 (98.08%) pass rate on the XBOW validation-benchmarks and lists support for Anthropic, OpenAI, Google Gemini, MiniMax, DeepSeek, xAI, Mistral, OpenRouter, Nvidia NIM and local Ollama models, plus subscription logins such as Claude Max and ChatGPT Pro.

   GitHub Trending · Python · 🔥 0
6. Oct 9
   Seismora pitches a control plane to route AI workloads across devices and clouds

   Seismora is developing an "intelligent control plane" to coordinate AI workloads across devices, edge infrastructure and cloud providers. Founder and CEO Vito Palermo told theCUBE that the goal is to spare developers from embedding routing logic in each application, with the system deciding where work runs based on capability, cost, latency and policy constraints — what the company calls "cognitive routing." He cited Stripe's reported roughly $7.5 billion deal for model-routing platform OpenRouter as evidence of growing interest in this layer.

   SiliconANGLE AI · 🔥 0

Experience and discussion from the community

Share my Neo4j experienceAsk about Neo4j