A developer built Lead Quorum, a distributed multi-agent lead qualifier that uses two independent LLM readers and deterministic scoring to produce auditable scores and abstain when the readers disagre…
By mid-2026, the agentic AI ecosystem has coalesced around a layered protocol stack—including MCP, A2A, WebMCP, and OSI—that converts the quadratic N×M integration problem into a linear N+M problem. A…
The internet faces a new naming and trust problem with AI agents, mirroring the early DNS era. Security incidents, such as an AI agent rewriting its own security policy at a Fortune 50 company, highli…
A new guide on agent protocol security for A2A and MCP systems emphasizes that identity, authorization, delegation limits, and audit trails are essential when agents cross trust boundaries. The guide …
The A2A protocol introduces an async task model for long-running agent workflows, moving beyond synchronous request/response patterns to handle tasks that may run for minutes or hours, require human i…
The IETF has published draft-sharif-attp-00, the Agent Trust Transport Protocol, which introduces a five-dimension trust scoring model for agent-to-agent messaging. The protocol addresses vulnerabilit…
A developer argues that the emerging two-layer stack of MCP (Model Context Protocol) for vertical agent-resource integration and A2A (Agent-to-Agent) for horizontal inter-agent communication risks rep…
Vassiliy Lakhonin's Agenda Intelligence MD project shifts the focus of AI agents from generating answers to assessing whether evidence is ready for human trust. The open-source Python package provides…
Google and other tech firms are adopting open-source protocols A2A and AP2 to transform AI-assisted software development from isolated local agents into a centralized, governed platform, addressing co…
The tech industry is falling into a 'tool trap' by over-optimizing for specific agent protocols like MCP and AI Skills instead of developing a broader Agent Experience (AX) discipline. AX, the agent-f…
Google's Agent2Agent (A2A) protocol, announced in April 2025, has seen mixed adoption in its first year, with skepticism due to overlap with MCP and premature market timing. However, by 2026, A2A is p…
The AI industry is developing two distinct protocols for agent architecture: MCP (Model Context Protocol) for agent-to-tool integration and A2A (Agent2Agent Protocol) for agent-to-agent communication.…
Addy Osmani and Shubham Saboo from Google Cloud published five patterns for building reliable, stateful AI agents, addressing the common failure of agents that work in demos but break in production. T…
The Linux Foundation working group released the Agentic Resource Discovery (ARD) specification, a draft discovery layer that allows domains to advertise agent capabilities via a manifest at /.well-kno…
Google launched the Agent-to-Agent (A2A) protocol one year ago to enable collaborative AI agents. Now, the protocol is being used in life sciences through Foldrun, an agent that predicts protein struc…
A developer on Hacker News is asking whether anyone is using Google's A2A (Agent-to-Agent) protocol, noting that while it was unclear six months ago, the rise of agent-based systems and the MCP protoc…
A2UI and MCP Apps combine declarative and custom agentic UIs, offering three architectural patterns for integrating native component rendering with custom iframe embedding. Developers can serve A2UI p…
Snowflake announced support for the Agentic Resource Discovery (ARD) Specification, an open protocol developed with Microsoft and GoDaddy that standardizes how AI agents and tools are cataloged and di…
Microsoft, Google, GoDaddy, Hugging Face, and other contributors have released the Agentic Resource Discovery (ARD) specification, an open standard for dynamically discovering AI agent tools and capab…
A developer argues that production-ready multi-agent AI systems must be designed with resilience in mind, as any component can fail. The post outlines how specialized agents, combining LLMs with tools…