Author: Ricardo

Agentic AI Context Engineering

A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications
ByRicardo May 11, 2026May 11, 2026

In this tutorial, we implement how Memori serves as an agent-native reminiscence infrastructure layer for constructing extra persistent, context-aware LLM functions. We begin by organising Memori in a Google Colab setting and connecting it to each synchronous and asynchronous OpenAI shoppers, so that each mannequin name can robotically move by means of the reminiscence layer….

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

Best Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems
ByRicardo May 11, 2026

Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases function the core retrieval layer for RAG pipelines, semantic search programs, and agentic AI workflows — and selecting the improper one has actual price and efficiency penalties. This information breaks down the highest vector databases out there right now, overlaying structure,…

Read More Best Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems
Agentic AI AI Agents

OpenClaw vs Hermes Agent: Why Nous Research’s Self-Improving Agent Now Leads OpenRouter’s Global Rankings
ByRicardo May 10, 2026May 10, 2026

The open-source AI agent house has a brand new chief. As of May 10, 2026, Hermes Agent — constructed by Nous Research — has overtaken OpenClaw to carry the #1 place on OpenRouter’s global daily app and agent rankings. Hermes is at present producing 224 billion each day tokens on OpenRouter versus OpenClaw’s 186 billion,…

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

How to Build a Cost-Aware LLM Routing System with NadirClaw Using Local Prompt Classification and Gemini Model Switching
ByRicardo May 10, 2026

In this tutorial, we discover NadirClaw as an clever routing layer that classifies prompts into easy and complicated tiers earlier than sending them to essentially the most appropriate mannequin. We begin by putting in the required packages, organising an non-obligatory Gemini API key, and testing the native classifier by the NadirClaw CLI with out making…

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

NVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX
ByRicardo May 10, 2026

NVIDIA AI researchers just lately launched cuda-oxide, an experimental compiler that permits builders to write CUDA SIMT (Single Instruction, Multiple Threads) GPU kernels in commonplace Rust code. The undertaking compiles Rust straight to PTX (Parallel Thread Execution) — the assembly-like intermediate illustration that CUDA makes use of to goal NVIDIA GPUs — with out requiring…

Read More NVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX
Editors Pick Security

A Coding Implementation to Recover Hidden Malware IOCs with FLARE-FLOSS Beyond Classic Strings Analysis
ByRicardo May 10, 2026May 10, 2026

In this tutorial, we discover how FLARE-FLOSS helps us recuperate hidden and obfuscated strings from a Windows PE file. We start by organising FLOSS and the MinGW-w64 cross-compiler. We synthesize a small malware-like executable that hides strings utilizing a number of methods, together with static strings, stack-built strings, tight strings, and XOR-decoded strings. After that,…

Read More A Coding Implementation to Recover Hidden Malware IOCs with FLARE-FLOSS Beyond Classic Strings Analysis
Agentic AI AI Infrastructure

NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing
ByRicardo May 9, 2026

Training a household of enormous language fashions (LLMs) has all the time come with a painful multiplier: each mannequin variant within the household—whether or not 8B, 30B, or 70B—usually requires its personal full coaching run, its personal storage, and its personal deployment stack. For a dev staff operating inference at scale, this implies multiplying compute…

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

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

As AI coding brokers develop extra succesful, a structural downside has emerged: velocity with out readability. Developers generate working code in minutes, solely to find days later that it doesn’t match what the system really wanted. Spec-driven improvement (SDD) addresses this straight — by treating a structured specification because the supply of reality and code…

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

Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents
ByRicardo May 9, 2026

If you’ve got frolicked utilizing AI coding brokers — GitHub Copilot, Claude Code, Gemini CLI — you’ve got most likely run into this example: you describe what you need, the agent generates a block of code that appears right, compiles, after which subtly misses the precise intent. This “vibe-coding” method can work for fast prototypes…

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

OpenAI Adds Chrome Extension to Codex, Letting Its AI Agent Access LinkedIn, Salesforce, Gmail, and Internal Tools via Signed-In Sessions
ByRicardo May 9, 2026

OpenAI has launched a Codex Chrome extension for Mac and PC to streamline browser-based workflows that had been beforehand troublesome to deal with via APIs or plugins. This launch follows a pattern the place most customers most well-liked working in a browser after the launch of “Computer Use,” permitting Codex to function extra successfully throughout…

Read More OpenAI Adds Chrome Extension to Codex, Letting Its AI Agent Access LinkedIn, Salesforce, Gmail, and Internal Tools via Signed-In Sessions

Author: Ricardo

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

Best Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems

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

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

NVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX

A Coding Implementation to Recover Hidden Malware IOCs with FLARE-FLOSS Beyond Classic Strings Analysis

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

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

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

OpenAI Adds Chrome Extension to Codex, Letting Its AI Agent Access LinkedIn, Salesforce, Gmail, and Internal Tools via Signed-In Sessions

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