網絡巨頭完成了智能體周系列活動

2026年8月11日 00:00
站內 AI 整理稿

At the beginning of Agents Week, Rita shared that agents represent the next evolution of computing: not only as a new application of AI but also as a new class of software that’s shaping how people interact with technology, and how software interacts with the Internet.

Over the last year or so, we set out to explore what this shift means for developers and customers building AI-native apps and the infrastructure needed to support them.

As agents become more capable and autonomous, the challenges extend beyond the models themselves — to identity, communication, orchestration, memory, observability, and security.

Over the past week we’ve shared how we’re bringing those pieces together across the Cloudflare platform to serve an Agentic Internet.Each day we presented new tools, products, and ideas toward building for an Internet where humans and agents cooperate instead of collide.

Monday, August 3Monday focused on the foundations for building and running intelligent, autonomous apps — the runtime and infrastructure agents rely on.

Your agent needs a computer, not a container — introducing @cloudflare/computer@cloudflare/computer introduces a new runtime, designed for agents, that can choose the right environment for the job.

Workers RPC now works across Python and JavaScriptPython and JavaScript Workers can now talk to each other directly, making mixed-language projects easier.

Smaller, faster, safer: running Kimi and GLM at scaleExploring how we serve large models more efficiently, without sacrificing quality, reliability, or safety.

Introducing the Billable Usage API: programmatic cost visibility for CloudflareA simpler way to track usage and costs across our self-serve products.

Cloudflare Workers and Containers now support inbound TCP connections and gRPCHost voice AI backends or other real-time voice agents with Cloudflare Workers.

Tuesday, August 4Tuesday introduced the Agent Development Lifecycle (ADLC) and the primitives that take agentic software from prototype to production.

The Agent Development Lifecycle has arrived on CloudflareSuperseding the SDLC (Software Development Lifecycle) with the ADLC; our take on getting agents from prototype to production, and the primitives that underpin the next generation of “software factories.

”Introducing: Cloudflare AgentsBuild agents on Cloudflare and watch every run live, with tracing, replay, and human-in-the-loop approvals for what happens in production.

Your agent can now debug Workers with local tracingBringing distributed tracing into local dev, making it easier for agents to find and debug issues before they hit production.

Announcing Cloudflare Wallets: the programmable wallet for the Agentic InternetWallets introduce a secure way for agents to perform transactions as participants in the emerging agentic economy.

Run CI/CD for millions of repos — on your platform, on CloudflareProgrammable CI/CD; pipelines written in code, not config, with an agent that repairs failures and stages the fix for review.

How Cloudflare enforces engineering standards using AIHow we use AI-powered automation throughout our dev workflows to keep code standards and processes aligned, helping our own software factories deliver quality and consistent code at scale.

How we built a software factory to drive Astro’s GitHub issue count to zeroAutomating the analysis, categorization, and routing of issues to minimize software-maintenance toil and maximize developer productivity.

Wednesday, August 5Wednesday extended Zero Trust from users and devices to agents themselves — and we shared how we’re running it internally at Cloudflare.

The Agent Access ModelA framework for how agents can securely access resources and services on behalf of users — across an Internet increasingly populated by agents.

How we’re rethinking work at Cloudflare with Cloudflare OSHow we’ve embedded AI in our internal operating model, enabling teams to work smarter and faster without giving up security or oversight.

Cloudflare OS: an open platform for agents, apps, and workWe open-sourced the platform our teams use to build apps, automate work, and access internal systems, safely.

Catching rogue AI behavior with identity-aware analyticsAttribute AI activity to real users and systems, making any anomalies and spend spikes easier to catch.

WriteGuard: fine-grained controls for MCP ServersGiving customers the same tooling we deploy, for more control over risky tool calls and lowering the chances of agents making unwanted changes.

Thursday, August 6Thursday defined the Agentic Internet, and how website owners, publishers, and agents can all contribute to an Internet that works for people and agents alike.

Building an open Agentic Internet: readable, discoverable, callable, and payableA model for an Agentic Internet where publishers keep control, agents get useful access to what they need, and open protocols let both sides transact.

Give any website a WebMCP interfaceA preview of WebMCP, which introduces a new (and very simple) approach for making websites and web apps discoverable and usable by agents.

From ranking to recommended: get your site ready to thrive in the age of AI agentsAdapting SEO into AEO (Answer Engine Optimization) practices to improve how web content is discovered, understood, and surfaced by agents.

Introducing Kitesurf: the agent-first browser that runs in V8 isolates on Cloudflare WorkersA browser purpose-built for agents, trading pixel-perfect rendering for lower memory and CPU usage.The next generation of MCPMCP got a rewrite.

MCPv2 introduces the next evolution of MCP support, simplifying the deployment and scalability of agentic apps.Cloudflare AI Search: give your agents a search engine for your dataAI Search turns your files or website into an agent-ready search engine with one command.

Friday, August 7Friday put a lens on what’s actually happening: what agents are really doing on the web, where AI is running in your apps, who’s contributing to the ecosystems, and new tools for analyzing Internet data.

Unveiling good and bad behaviors on the Agentic InternetBots aren’t always bad, and humans aren’t always good; reframing bot mitigation around continuous trust rather than one-time risk.

Unifying Workers AI and AI Gateway into a single AI control planeOne binding, one wallet, one dashboard for calling any AI model; model-first routing is up next.

Announcing Cloudflare Ambassadors, Community Engineers, and another $1M in open-source fundingOur refreshed Community initiative introduces two new programs — Cloudflare Ambassadors for community leaders and Community Engineers for open-source maintainers — plus $1M more in open-source funding over the next two years.

Introducing Radar Researcher: an AI tool for exploring Internet data in plain languageRadar’s AI research assistant: plain-language questions in, real interactive charts out.

Agents Week is done, but we aren’tFive days on, the answer to Rita’s question of “What does your agent need from an Agent Cloud?” is starting to take shape.

It needs an execution layer and primitives to run on, a development lifecycle that increasingly writes itself, secure access for the people and agents doing the work, an Agentic Internet, and the humans and communities keeping all of it grounded.

There's plenty still to come, but the shape of what’s next is becoming clearer: an Internet that natively supports the humans it was built for and the agents now acting on their behalf.Our work doesn’t stop here.Keep an eye on our changelog for the latest updates.

And if you’re building any part of this with us, we’d love to hear from you!Come find us on X or Discord.Related tagsAgentsAgents WeekAICloudflare OneCloudflare WorkersDeveloper PlatformDevelopersSASEZero TrustFollow on Social MediaCloudflareKathy LiaoSubscribe to receive notifications of new posts

Related

相關文章

IT之家AI Agent

消息稱 NVIDIA 考慮向 Perplexity AI 投資“數十億美元”

作者:溯波(實習) 責編:溯波 評論: 8 月 24 日消息,外媒 The Information 稍早前報道稱,NVIDIA(英偉達)考慮在 Perplexity AI 的最新融資輪中向這家人工智能初創企業投資“數十億美元”。雙方正就該交易展開磋商,還可能達成技術授權協議。

剛剛
AIBaseAI Agent

Guidelight評估五大AI實驗室,OpenAI遏制能力排名第一

該評估覆蓋Anthropic、Google、OpenAI、Meta和xAI,僅依據公開信息考察其是否建立監控、異常行為處置、第三方審計及失控模型關閉等機制。在滿分5分的評估中,OpenAI以3分排名最高,Anthropic和Meta得分最低。

8 小時前7400
何夕2077AI Agent

τ_0-VLA長程操控

τ₀-VLA是一種層次化機器人基礎模型,透過世界模型引導的測試時計算來改善長程操控任務。高層策略在決策不確定時會額外分配計算資源,搜尋替代子任務並預測其視覺結果,而低層策略則在40,115小時的異質真實世界數據上訓練。在包含13到25個步驟的真實長程任務中,封閉迴路成功率從27.5%提升至45.0%。

10 小時前
何夕2077AI Agent

智能體技能合集

VoltAgent 的智能體技能庫近期持續擴充,目前收錄的技能規模已突破千項,相關倉庫在開發社群中獲得約 31.3k 的星標關注。這個持續成長的技能庫,正逐步成為開發者快速組合與部署智能體工作流程的重要資源。 該技能庫涵蓋多種類型的 CLI 工作流程,這些流程具備高度可複用性,讓開發者不必從零開始建構每個環節,而是能直接引用既有技能來加速專案進度。隨著技能項目不斷增加,VoltAgent 生態系的應用範圍也隨之擴大,從自動化任務到複雜的指令處理,都能找到對應的現成模組。

10 小時前
何夕2077AI Agent

ruflo蜂群代理

近期在AI資訊日報中受到矚目的「ruflo蜂群代理」,是一款以多智能體框架為核心的代理管理工具。其設計重點在於讓開發者能夠有效管理複雜的代理流,透過系統化的方式協調多個AI代理協同運作,而非僅是單一任務的自動化處理。這種架構特別適合需要分工、接力或平行處理的應用場景,讓整個執行流程更為清晰且可控。 值得注意的是,ruflo導入RAG(檢索增強生成)記憶機制,讓代理在運作過程中能將經驗與知識「沉澱」下來。也就是說,代理不只是每次從頭開始執行,而是可以從過往的互動或任務中提取相關資訊,作為後續決策的參考依據。

10 小時前