cloudflare

Everything we launched during Agents Week (opens in new tab)

Cloudflare’s Agents Week presented agents as a new class of software requiring more than advanced models: they need runtimes, identity, orchestration, memory, observability, and security. Across five days, Cloudflare introduced infrastructure and tools for building, deploying, governing, and connecting agents to the web. The broader conclusion is that an “Agentic Internet” must support cooperation between humans and autonomous software while preserving control, trust, and openness.

Agent Runtime and Infrastructure

  • Cloudflare introduced @cloudflare/computer, a runtime that lets agents select suitable computing environments rather than relying solely on containers.
  • Workers RPC now supports communication between Python and JavaScript Workers.
  • Cloudflare detailed efforts to run models such as Kimi and GLM more efficiently while maintaining quality, reliability, and safety.
  • The Billable Usage API provides programmatic access to Cloudflare product costs and usage.
  • Workers and Containers gained inbound TCP and gRPC support, enabling real-time applications such as voice AI backends.

From Prototypes to Production with the ADLC

  • Cloudflare proposed the Agent Development Lifecycle (ADLC) as an evolution of the traditional Software Development Lifecycle for agent-based software.
  • Cloudflare Agents provide live run monitoring, tracing, replay, and human approval workflows.
  • Local tracing helps agents and developers debug Workers before deployment.
  • Cloudflare Wallets give agents programmable, secure capabilities for participating in transactions.
  • Programmable CI/CD pipelines can run across millions of repositories and use agents to diagnose failures and prepare fixes for review.
  • Cloudflare described internal AI-powered engineering workflows, including automated standards enforcement and an Astro software factory that reduced GitHub issue-management toil.

Identity, Security, and Governance

  • The Agent Access Model defines how agents can access services and resources on behalf of users.
  • Cloudflare OS embeds AI into internal work while retaining security and human oversight, and its platform was open-sourced for building applications and automations.
  • Identity-aware analytics connect AI activity to users and systems, helping detect anomalous behavior and unexpected spending.
  • WriteGuard adds fine-grained controls to MCP servers to restrict dangerous or unwanted tool calls.

Building an Agentic Internet

  • Cloudflare outlined an Internet that is readable, discoverable, callable, and payable, allowing publishers to control access while enabling agents to interact and transact.
  • WebMCP gives websites and web applications a simple interface that agents can discover and use.
  • Answer Engine Optimization (AEO) adapts SEO practices for content surfaced by AI agents.
  • Kitesurf is an agent-focused browser running in V8 isolates, prioritizing efficiency over pixel-perfect rendering.
  • MCPv2 simplifies the deployment and scaling of agentic applications.
  • Cloudflare AI Search turns websites and files into searchable, agent-ready data sources.

Observing the Agent Ecosystem

  • Cloudflare argued that bot behavior should be evaluated through continuous trust rather than assuming bots are inherently harmful.
  • Workers AI and AI Gateway are being unified into a single AI control plane with one binding, wallet, and dashboard for model access.
  • New Cloudflare Ambassadors and Community Engineers programs support community leaders and open-source maintainers, alongside an additional $1 million in open-source funding.
  • Radar Researcher lets users explore Internet data through natural-language questions and interactive charts.

Cloudflare’s vision is an Agent Cloud combining execution infrastructure, an increasingly automated development lifecycle, secure identity and access, agent-ready web protocols, and strong human communities. Building agents successfully will require treating them as participants in a broader computing ecosystem—not merely as model-powered features.