agentic ai

Auto Added by WPeMatico

Laserfiche unveils AI agents for natural language workflows

Laserfiche has announced the release of AI agents that can help perform tasks through natural language prompts. Intelligent assistants follow Laserfiche’s integrated security rules and compliance requirements, helping ensure all sensitive data remains protected. Karl Chan, CEO of Laserfiche, said, “The introduction of AI Agents to content management signals a change in how we handle […]

Laserfiche unveils AI agents for natural language workflows Read More »

OpenAI Introduces Daybreak: A Cybersecurity Initiative That Puts Codex Security at the Center of Vulnerability Detection and Patch Validation

OpenAI on just launched Daybreak, a cybersecurity initiative that combines the company’s frontier AI models with Codex Security, its coding-focused agentic system, and a broad network of security partners. The program is aimed at developers, enterprise security teams, researchers, and government-linked defenders who need to find, validate, and patch software vulnerabilities earlier in the development

OpenAI Introduces Daybreak: A Cybersecurity Initiative That Puts Codex Security at the Center of Vulnerability Detection and Patch Validation Read More »

Even the news is bigger in Texas: Highlights from the SAS Innovate media briefing

SAS leaders tipped their hats to the latest advances in data and AI and to the road ahead, at the media briefing during SAS Innovate. Leaders shared updates across agentic AI, industry-ready models, data management, governance and emerging technology, all grounded in helping organizations put AI to work responsibly and […] The post Even the

Even the news is bigger in Texas: Highlights from the SAS Innovate media briefing Read More »

Bain sees US$100 billion SaaS market in agentic AI automation

Bain & Company has estimated a US$100 billion market in the US for SaaS companies using agentic AI. The firm said the market is tied to automating coordination work in enterprise systems. The estimate comes from the second report in Bain’s five-part series on the software industry in the age of AI. The report examines

Bain sees US$100 billion SaaS market in agentic AI automation Read More »

A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications

In this tutorial, we implement how Memori serves as an agent-native memory infrastructure layer for building more persistent, context-aware LLM applications. We start by setting up Memori in a Google Colab environment and connecting it to both synchronous and asynchronous OpenAI clients, so that every model call can automatically pass through the memory layer. We

A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications Read More »

OpenClaw vs Hermes Agent: Why Nous Research’s Self-Improving Agent Now Leads OpenRouter’s Global Rankings

The open-source AI agent space has a new leader. As of May 10, 2026, Hermes Agent — built by Nous Research — has overtaken OpenClaw to hold the #1 position on OpenRouter’s global daily app and agent rankings. Hermes is currently generating 224 billion daily tokens on OpenRouter versus OpenClaw’s 186 billion, making it the

OpenClaw vs Hermes Agent: Why Nous Research’s Self-Improving Agent Now Leads OpenRouter’s Global Rankings Read More »

ℹ

How to Build a Cost-Aware LLM Routing System with NadirClaw Using Local Prompt Classification and Gemini Model Switching

In this tutorial, we explore NadirClaw as an intelligent routing layer that classifies prompts into simple and complex tiers before sending them to the most suitable model. We start by installing the required packages, setting up an optional Gemini API key, and testing the local classifier through the NadirClaw CLI without making any live LLM

How to Build a Cost-Aware LLM Routing System with NadirClaw Using Local Prompt Classification and Gemini Model Switching Read More »

NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing

Training a family of large language models (LLMs) has always come with a painful multiplier: every model variant in the family—whether 8B, 30B, or 70B—typically requires its own full training run, its own storage, and its own deployment stack. For a dev team running inference at scale, this means multiplying compute costs by the number

NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing Read More »

🔗

9 Best AI Tools for Spec-Driven Development in 2026: Kiro, BMAD, GSD, and More Compare

As AI coding agents grow more capable, a structural problem has emerged: speed without clarity. Developers generate working code in minutes, only to discover days later that it doesn’t match what the system actually needed. Spec-driven development (SDD) addresses this directly — by treating a structured specification as the source of truth and code as

9 Best AI Tools for Spec-Driven Development in 2026: Kiro, BMAD, GSD, and More Compare Read More »

💡

Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents

If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe what you want, the agent generates a block of code that looks correct, compiles, and then subtly misses the actual intent. This “vibe-coding” approach can work for quick prototypes

Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents Read More »