GitLab Act 2
…The monolith is giving way to modern, API-first, composable services. And agent-specific APIs are being built so agents can act as first-class users of the platform, not as bolted…
…The monolith is giving way to modern, API-first, composable services. And agent-specific APIs are being built so agents can act as first-class users of the platform, not as bolted…
…The NVIDIA NeMo Agent toolkit is framework-agnostic, enabling integration with a wide array of popular agentic platforms and tools. It natively supports and provides first-party plugins for Agno (formerly Phidata…
In the race to build compelling personal AI agents, Google may have an underrated advantage: It already has all your emails. At its Google I/O developer conference on Tuesday, the company…
…Microsoft is in a more complex situation with AI agents. The popular open-source platform OpenClaw demonstrated a potential path forward for AI agents, and after OpenAI quickly hired its creator, Peter…
Hi HN, I built Agent OS because I was tired of the "orchestration tax" – writing the same safety checks, memory management, and tool-handling code in every AI agent project. What it does: - Visual policy edit…
I was job hunting across countries and kept running into the same two problems.First: every platform optimises for different things. LinkedIn wants keywords. ATS parsers want specific formatting. GitHub rewards README qu…
Hey Hacker News,vyvoice is a cross-platform, offline voice transcription app I started working on in December as a Windows user tired of every good dictation app being Mac-only.Beyond transcription, it has built in suppo…
Hi HN, I'm Hang, cofounder of InsForge (YC P26). InsForge is an open-source Heroku for AI coding agents: a backend platform designed for coding agents to deploy, operate, and debug end-to-end. Open source under Apache 2.…
Data is “the new oil” for AI.What if you could “plug in” to an oil well, and get royalties forever whenever that well’s oil was used?Right now, the people who build those datasets get paid once, if at all. There's no rec…
…At first glance, even I did a double take at what seems like a very technical idea of “AI agents” coming to the App Store. But the idea is simple that Apple…
…agents, where delays are immediately visible to users. In these workloads, the most important metrics are time-to-first-token, tokens per second per user, and tail latency. Many modern AI platforms…
…The fir adds that Google's Gemini platform can also deploy agentic models and workflows across industries such as cybersecurity. About the author : Ramish is a seasoned technology writer and editor with…
…up to 1.5x the agentic sandbox performance under full-socket load compared to competitive x86 platforms across compilers, scripting tools, runtime engines, compression, and agentic tool calls (Figure 3). This advantage…
…Four models are included, featuring Gemmas first MoE model, and support for over 140 languages; these models enable reasoning, code generation, agent tool use, and multimodal input, and can be deployed locally…
…Using cq, the agents would first consult a database of shared knowledge, as well as contributing new solutions. Currently agents can be guided using context files such as agents.md, skill.md…