Google introduced the Agent-to-Agent (A2A) protocol, an open standard that lets AI agents communicate directly, share data, and collaborate across applications and enterprise workflows. Built on existing web standards and OpenAPI authentication, A2A supports text, audio, and video streams while offering secure, asynchronous interactions for long‑running tasks. The protocol promises to break down silos between specialized agents, enabling richer automation in fields such as customer service, supply chain, and healthcare, though it also raises security and scalability concerns that will need further governance. Leia mais →

The evolution of artificial intelligence is moving from larger, single‑model systems toward agentic AI, where multiple purpose‑built agents collaborate in real time. This shift hinges on a unified, identity‑resolved data layer that provides shared context, ensuring agents act coherently rather than drift. Interoperable APIs and an architecture designed for continuous feedback loops replace monolithic platforms, allowing AI to operate as an ongoing intelligence layer rather than a one‑off answer generator. Humans remain central, setting goals and overseeing the autonomous agents that handle minute‑by‑minute decisions. Leia mais →

The Linux Foundation has created the Agentic AI Foundation (AAIF), a neutral hub for open‑source AI‑agent projects. Anthropic, Block and OpenAI are anchoring the effort with donations of key technologies: Anthropic’s Model Context Protocol (MCP), Block’s Goose agent framework, and OpenAI’s AGENTS.md instruction file. The group aims to prevent a fragmented landscape of proprietary AI agents by fostering interoperability, shared safety patterns, and industry‑wide standards. Major members such as AWS, Bloomberg, Cloudflare and Google have joined, signaling broad support for an open, mix‑and‑match approach to AI‑agent development. Leia mais →