Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

Previously, coding demanded extensive software and mathematical knowledge. Today, languages like Python are as simple to learn as new languages like English or French.

Google rolls out Canvas in AI Mode across the US, adding a side panel workspace in Search for building plans, dashboards, and interactive tools.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Ramen, developer of Aura, has released Aura 12.0 beta, the latest iteration of the best-in-class multi-agent AI assistant for Unreal Engine, which launched this January. Aura 12.0 introduces enhanced ...

Roam is a structural intelligence engine for software. It pre-indexes your codebase into a semantic graph -- symbols, dependencies, call graphs, architecture layers, git history, and runtime traces -- ...

Abstract: Graph Neural Networks (GNNs) have demonstrated strong potential for identifying software vulnerabilities by leveraging the structured representation of code as graphs. In this paper, we ...

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...

Unlike simple vector databases or file-based memory, Lisa uses Graphiti - a knowledge graph that captures relationships between concepts, not just text. "remember that we decided to use Redux for ...

Explore the power of interactive physics visualizations with animated graphs using VPython and GlowScript for dynamic simulations! This guide demonstrates how to create real-time animated graphs that ...