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Gemini 4 Argon just dropped, and n8n is one of the first companies to use and integrate the model. Check out how you can use it with your existing n8n workflows and how to build new ones. Here are the benchmarks Google published:Benchmarks reported by Google. Source: Gemini 4
Learn how to add custom instructions and skills to your repository, use custom agents, and connect MCP servers like Playwright. The post GitHub Copilot app for Beginners: How to teach Copilot about your codebase appeared first on The GitHub Blog.
Release: web-edit 0.1a0 I was working on a project from my phone using Codex Remote when I found myself wanting to edit a credentials file without round-tripping those credentials through the LLM itself. So... I had Codex and GPT-6 Astra Extra High build this Python web app which provides a web UI for viewing and editing files in a folder. It's intended to be run over Tailscale, so I can have an agent start this running and then edit files via my Tailscale network directly from my phone. Here's the interface for browsing files in a folder: Editing uses CodeMirror 6 - I was going to use Monaco but that still doesn't have a great mobile experience yet. Tags: projects, python, ai, tailscale, generative-ai, llms, codex
Google isn't just building another AI coworker. It wants Gemini to become the system that organizes how businesses work—even when a competitor's AI is doing the job.
Using GPT-6 Astra in Codex, Asana made its browser agent 76x cheaper and 5x faster in tests to offer customers more capable models.
Google announces a universal working intelligence that connects the enterprise context to the business system to support planning and mission fulfilment。
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
An AI agent can shop, log into accounts and even complete security checks for a real customer—but what happens when the website has no idea it’s dealing with AI?
The Agent Said It Was Done. The Database Disagreed.
Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents
Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting work done. The post GitHub Copilot app for Beginners: How to build custom workflows with canvases appeared first on The GitHub Blog.
n8n now has a new type of Agent. Describe what an agent should do, choose a model, the tools and workflows it can use, and it's ready to go!
In this blog post, I explain how to use the new fuzzing taskflow based on the GitHub Security Lab Taskflow Agent AI framework. The post AI-powered fuzzing with the GitHub Security Lab Taskflow Agent appeared first on The GitHub Blog.
Your Agent Aced the Task. Will It Do It Again?
MCP vs. API: Learn how the Model Context Protocol differs from traditional APIs, when to use each, and how to combine both in n8n.
Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.
Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration.
Human-Computer Interaction and Visualization
How Much Memory Does Your Agent Actually Need?
Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident
