The Model Is No Longer the Product. The Harness Is.
AI agents are no longer just smarter models. The real product is the harness that gives them context, memory, tools, and control.
Agents
16 posts
The Agents Have Arrived. Now What?
AI agents are everywhere now, local and cloud-based. The real question is no longer what they can do, but what we should let them do.
Nobody With Claws
NVIDIA's NemoClaw is read as more than a framework: a sign that open AI agents are becoming infrastructure with teeth.
Gemini's Fix: The OpenClaw Security Mess and Apple's Google Bet Paying Off
The OpenClaw incident becomes evidence that Google's security depth may matter more to Apple's AI strategy than the pundits admit.
Moltbook's Data Leak: Agents Exposed
A viral agent-only social network turns into a security lesson about rapid AI prototyping, exposed data, and avoidable shortcuts.
Clawdbot, Moltbot, and the New Shape of Risk: Why Agent Gateways Feel Different
Agent gateways feel risky because they connect communication, identity, and action, turning ordinary automation mistakes into cross-platform exposure.
Imposta, but Make It Full-Duplex: PersonaPlex and the Next Wave of Voice Agents
NVIDIA's PersonaPlex points toward voice agents that interrupt, overlap, and converse more naturally, with all the design risks that implies.
Stay in Your Lane, Agent
Constantly switching coding agents can feel like progress while destroying continuity; the post argues for discipline over tool churn.
Acontext: The Memory Implant Your AI Agents Have Been Dreaming About (While Forgetting Everything Else)
Acontext tackles the amnesia problem in AI agents by making reusable memory feel less like a feature and more like infrastructure.
The Paper That Made Me Close My Laptop and Pace Around the Room
Agent0 points toward self-evolving agents that learn through tools and reasoning traces without the usual diet of curated training data.
Amazon's Clash with ChatGPT: A Tug-of-War Over Shopping Data
Amazon's block on ChatGPT Shopping exposes the coming fight over product data, agent-mediated commerce, and who owns the customer path.
Two Protocols, Two Futures: OpenAI’s ACP vs. Anthropic’s MCP
OpenAI's ACP and Anthropic's MCP represent different futures for agents: commerce execution versus general tool access.
Agentic Commerce, Explained: What OpenAI’s Agentic Commerce Protocol Means for Retail and SaaS
Agentic Commerce Protocol shows how AI assistants may become buyers, forcing retailers and SaaS platforms to rethink checkout itself.
OpenAI's Operator: When AI Gets Its Own Browser (And Why That's Both Cool and Scary)
OpenAI's Operator gives AI a browser, making web automation feel both immediately useful and structurally unsettling.
No Boss, All Brains: The New Paradigm of Decentralized AI Agents
Decentralized multi-agent systems promise problem-solving without a central boss, but coordination becomes the real challenge.
Multi-Agent LLMs: Exploring the Future of AI Collaboration
Multi-agent LLM systems are explored as a path toward distributed reasoning, specialization, and collaborative AI workflows.