Multi-agent systems
A multi-agent system (MAS) is a system in which two or more autonomous AI agents interact within a shared environment, each pursuing individual or collective goals through coordination, communication, or competition.
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Agent Infrastructure: The Hidden Stack Beneath Every AI Agent
Agent infrastructure is the production platform surrounding an AI agent that supplies persistent context and state, executes agent steps and tool calls, connects models to enterprise systems, and continuously controls, monitors, and audits the agent’s actions.
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Home AI Agents: When Your Smart Speaker Starts Acting for You
The Shift: From Voice Commands to Household Intelligence For years, we have lived with voice assistants that functioned like digital librarians. You asked a specific question, and they retrieved a specific answer. You gave a command, and they performed a single action. But the landscape of our homes is shifting. We are moving away from…
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AI agent security: core risks and defenses
The Shift from Theory to Practice For years, the conversation around AI security felt like a theoretical exercise—a debate about what might happen when machines begin making autonomous decisions. That era has passed. We are now managing the practical realities of integrating autonomous systems into our digital infrastructure. When an AI agent is granted the…
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Stablecoins: The On-Chain Dollar Powering the AI Agent Economy
The Digital Poker Chip Imagine you are at a casino. You walk up to the cage with $100 in cash and exchange it for $100 worth of plastic chips. Those chips are not money in the traditional sense-you cannot use them at the grocery store-but inside the casino, they represent exactly $100. They are easy…
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How AI agents are used at work
The Shift: From Digital Assistant to Digital Coworker For years, the workplace conversation around artificial intelligence has been dominated by the ‘assistant’ model. You ask a question, the AI provides a summary. You need a draft, the AI writes a paragraph. It is a tool that waits for your command, performs a single task, and…
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Moonshot’s Kimi K3 Matches US Frontier Models—And Opens the Weights in 11 Days
Beijing-based Moonshot AI released Kimi K3 on July 16, 2026, achieving performance parity with top-tier US models across critical coding and reasoning benchmarks. This 2.8 trillion parameter Mixture-of-Experts model represents a significant shift in the competitive landscape, as Moonshot combines high-end technical capabilities with an aggressive pricing strategy and a commitment to open weights. Benchmark…
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Local Monitors Are Provably Blind to Multi-Agent Attacks — and the Standard Safety Net Has a Mathematical Hole
Enterprise security teams currently deploying multi-agent systems are operating under a false sense of security. As organizations increasingly integrate frameworks like CrewAI, AutoGen, LangGraph, and OpenClaw, they rely on per-step runtime monitors to catch malicious activity. New research, When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems (Hu and Wang, 2026), reveals…
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Visa’s Stablecoin Platform Isn’t a Product Launch — It’s Infrastructure Capture
The Visa Stablecoin Platform (VSP), announced on July 16, 2026, provides an enterprise-grade environment for financial institutions, fintechs, and crypto-native firms to mint, burn, custody, and transfer stablecoins. By integrating these capabilities directly into its network, Visa is shifting its role from a transaction processor to a foundational infrastructure layer for the next generation of…
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Alpaca’s $135M Raise Isn’t About Brokerage – It’s About Rebuilding Financial Infrastructure for Agents
Alpaca’s $135M equity raise, led by Peak XV Partners, signals a fundamental infrastructure shift: autonomous AI agents—not human traders—are becoming the primary consumers of financial services. With 4x API growth driven by machines, the company is rebuilding its stack for agent-native workflows.