MCP vs A2A vs ACP: The Three Protocols Every AI Agent Stack Needs
MCP connects agents to tools. A2A makes agents talk to each other. ACP connects them to editors. Three protocols, three layers — what each does, and when.
Zentask Blog5 min read
Agent2Agent Protocol
34 stories
Multi-Agent Systems: Architecture, Patterns, and Real-World Examples
A practical guide to multi-agent system architecture, patterns, examples, failure modes, and the controls required to run multiple AI agents safely.
Rerun Blog16 min read
v1.3.0rc26
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
TensorRT-LLM22 min read
AI Employees: What They Are, Which Roles They Run & How to Deploy One
An AI employee is an agent that owns a job, not a chatbot you prompt. What they are, the six runtime primitives they need, the eight roles they run today, what they cost, and how to deploy one this week.
Rerun Blog21 min read
How teams actually control what AI agents can access
A researched map of the real tools behind "agent permissions": policy engines, non-human identity platforms, MCP's own OAuth flow, and cloud IAM for agents, four different layers people keep treating as one.
Elva Blog15 min read
A2A Protocol: System Design for Multi-Agent Architecture
Why do most multi-agent AI systems fail in production? Learn how the A2A (Agent-to-Agent) Protocol works with the help of a complete architecture walkthrough.
The One AI Architect
Why Every Agent Vulnerability is a Trust Boundary Failure
Consider these scenariosAn MCP server quietly returning extra tool descriptionsPrompt injection through a calendar inviteAn Agent invokes a tool that the principal should not have access toCost overruns It isn't the model that failed. It isn't the tool that failed. What failed
Portkey Blog6 min read
ZeroClaw v0.8.2 — Two New Front Doors
ZeroClaw v0.8.2 adds A2A agent discovery, extra skill registries, and typed slash commands, with tighter ingress policies and HMAC tool receipts.
ZeroClaw Blog2 min read
What Is the Agentic Web? And Is Your Website Ready for It?
Discover how the agentic web is changing online experiences and learn how to prepare your website for AI agents with better structure, content, interactions, and trust signals.
SEORCE Blog15 min read
The missing layer between agents and people
The real work is everything that makes the conversation feel human. Why we're building ACI, and why we're doing it in the open.
Novu Blog7 min read
Agents can think. Now they can talk.
The hardest part of shipping an AI agent isn't building it. It's getting it in front of the people it works for.
Novu Blog6 min read
AI Agents in Finance: Use Cases, Tools, and How to Deploy Them in 2026
AI agents in finance automate fraud detection, reconciliation, and compliance; here's how to deploy one in 2026.
Pazi Blog12 min read
Multi-Agent AI Systems for Business: How to Run Complex Operations Across Multiple Agents
Multi-agent AI systems coordinate specialised agents across complex operations. Here is how to build one.
Pazi Blog13 min read
SAP Sapphire 2026: The Complete Breakdown
All 25 announcements from Orlando, what's actually shipping vs. what's marketing — and what it means for the document and data foundation of the autonomous enterprise.SAP's Sapphire 2026 in Orlando was the most AI-dense keynote in the company's history. Christian
Nanonets Blog10 min read
What is AgentOps?
AgentOps is the operational layer for AI agents in production. Learn what changes when agents replace single LLM calls, what breaks, and how to control autonomous systems.
Portkey Blog6 min read
AI Orchestration Frameworks for Enterprises
Learn how AI orchestration helps enterprises coordinate models, data, and tools to automate workflows, reduce costs, and scale safely.
Magai Blog16 min read
Showing 34 of 34 stories
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