Build Hour: Workspace agents in ChatGPT
Build Hour: Agents SDK
Workspace agents in ChatGPT: Admin and builder controls
Architectural Design With Agents on NVIDIA RTX Spark
Codex for Everyday Work: AI Agents Beyond Coding
Build Hour: GPT-Realtime-2
732 bytes of Python just borked every Linux machine on earth…
Pi: Open-Source AI Agent Terminal Set-Up
Introducing NVIDIA Nemotron 3 Ultra
Introducing your Agent and Gemini Omni in Google Flow
OpenAI on OpenAI: Stacie Faggioli, Business Finance Officer Applications, OpenAI
[50] A New Era of Chip Design Tools // Q&A with Sassine Ghazi
…We present a comprehensive empirical study of multi-turn agentic RL for medical AI, built on , a gymnasium-compatible environment spanning 10 clinical domains with 3.6K+ tasks, 135 domain-specific tools…
…The release signals Google’s shift from pitching AI as a conversational tool to AI as an agentic tool. It’s not just answering questions, but planning, building, and iterating on real…
…employees that “every Gemini engineer must be forced to use internal agents for complex, multistep tasks.” Anthropic’s tools have been leading the AI coding race, and Brin apparently sees catching…
Devops Cloudflare revamps CLI as agents take over the internet What, you think basic usability is improved just for your benefit, human? Cloudflare is rebuilding Wrangler’s command-line tooling by adding…
Recently I was using functiongemma and watched it load and run local source code as a tool call without any training/tuning. A couple days later I got Qwen35 in Open-WebUI to use the "native" tool-calling. With Open-WebU…
Hi HN, I’m Junha Park. I've been experimenting with agent memory, especially how to make agents run more reliably on large tasks.I built Darc, an open-source shared memory search tool for coding agents, with a different …
Arch-Decision – A multi-agent architecture tool for Claude Code
I built a browser-only studio for designing and orchestrating MCP agent systems for development and experimental purposes. The whole stack — tool authoring, multi-agent orchestration, RAG, code execution — runs from a si…
A Git/LFS-backed unified tool-output format for AI agents, with 95% token cut
…The example ships with five skills, picked up automatically by the gateway from the agents/hermes/skills/ folder. Modify the OpenShell policies to give the agent access to data sources or tools…
…Mapping the execution path of an AI agent involves prompt assembly, vector database retrievals, and multiple external tool calls. “By adopting the Model Context Protocol (MCP), Agent Client Protocol (ACP), and Agent…
…tools to review code and detect anomalies in patterns and behaviors, which can indicate that attackers are abusing a legitimate tool – or user – for malicious purposes. Also, he recommends, start doing agentic…
…FAQs About Agentic AI Agentic AI typically works by combining reasoning, planning, tool use, memory, and feedback. An AI agent receives a goal, creates a plan, selects the right tools or data…
…All of this context empowers agents to find relevant information more efficiently. Custom agent-friendly documentation (afdocs) tooling Additionally, we test our docs against afdocs , an emerging agent-friendly documentation spec and…
…Now Google has reimagined its platform, Antigravity, as an agent-first development tool. Google's vision for Antigravity goes beyond coding, however. The new direction is a "platform to develop and manage…