The Infrastructure Layer for AI Agents
In April 2026, Cloudflare held Agents Week — shipping over 20 products to make agentic workloads production-ready. The thesis: cloud infrastructure built for the one-app-serves-many-users model was not designed for AI agents needing persistent state, browser access, memory, and sandboxed execution.
Browser Run and Two-Tier Compute
Browser Run (rebranded from Browser Rendering) provides isolated Chromium sessions with 4x concurrency, Live View, WebMCP support, and human-in-the-loop intervention. Dynamic Workers provide V8 isolate execution starting in milliseconds. Sandboxes provide full Linux containers with persistent storage — a two-tier model optimized for different agent workloads.
Agent Memory, Artifacts, and the Readiness Scanner
Agent Memory extracts structured memories from agent conversations for shared learning across teams. Artifacts provides git-compatible versioned storage. The Agent Readiness Scanner at isitagentready.com checks websites for AI agent compatibility across robots.txt, llms.txt, WebMCP, MCP, A2A, and commerce protocols — providing actionable fix prompts for each failing check.
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