AWS has published a reference implementation for testing AI agents through GitHub Actions, allowing developers to run ...

Engineer Tetsuya Wakita built vault-mcp, an open-source system that stores personal AI context in a user-owned Git repo and ...

JSCeal hides crypto-stealing malware in V8 bytecode, but researchers built a tool to decompile it and expose its advanced ...

Claude Code started as a terminal coding assistant. It now runs as a layered agentic system. Underneath, Claude Code separates memory, hooks, skills, subagents, plugins, and MCP into distinct layers.

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Illustration photo of a computer display with the Microsoft Copilot logo, shot in Savigny ...

Proof-of-concept exploit code has been published for a critical remote code execution flaw in protobuf.js, a widely used JavaScript implementation of Google's Protocol Buffers. The tool is highly ...

Parth, a seasoned tech writer, wields the keyboard (or pen) with finesse to unravel the intricacies of both Windows and Mac operating systems. He has covered evergreen content on mobile devices and ...

This repository contains code examples (in python and javascript) from each chapter of the book "Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph" published by ...

Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format ...

3 Erasmus MC University Medical Center Sophia Children's Hospital, Rotterdam, Netherlands Due to the growing use of high-dimensional data and methodological advances in medical research, ...

At least 18 popular JavaScript code packages that are collectively downloaded more than two billion times each week were briefly compromised with malicious software today, after a developer involved ...

Scaling up inference-time compute has proven to be a valuable strategy in improving the performance of Large Language Models (LLMs) on several tasks without involving any additional fine-tuning. An ...