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1cture teams, and super individuals. Projects are submitted and showcased through OpenArena.to; from building in public to progress tracking and staged review, the whole process happens inside an open arena."}),(0,a.jsxs)("div",{className:i.default.inlineChart,children:[(0,a.jsx)("div",{className:i.default.inlineChartTitle,children:"PROGRAM SNAPSHOT"}),(0,a.jsxs)("div",{className:i.default.roadmapInlineList,children:[(0,a.jsxs)("div",{className:i.default.roadmapInlineRow,children:[(0,a.jsx)("span",{className:i.default.roadmapInlineBadge,children:"PRIZE"}),(0,a.jsx)("span",{className:i.default.roadmapInlineText,children:"US$50,000+ cash prize pool and US$350,000+ committed credits and resources."})]}),(0,a.jsxs)("div",{className:i.default.roadmapInlineRow,children:[(0,a.jsx)("span",{className:i.default.roadmapInlineBadge,children:"TRACKS"}),(0,a.jsx)("span",{className:i.default.roadmapInlineText,children:"5 tracks from autonomous agents to sovereignty, commerce, hardware applications, and OPC / super individuals."})]}),(0,a.jsxs)("div",{className:i.default.roadmapInlineRow,children:[(0,a.jsx)("span",{className:i.default.roadmapInlineBadge,children:"FINAL"}),(0,a.jsx)("span",{className:i.default.roadmapInlineText,children:"Top 10 finalists advance to Singapore for Pitch Day, Final Day (Rewards & Summit), and investor networking."})]})]})]}),(0,a.jsx)("h2",{children:"Who Should Join"}),(0,a.jsx)("p",{children:"BUIDL_QUESTS is designed for builders turning AI-native work into real products, protocols, and companies. Solo founders are welcome; so are small teams building infrastructure, applications, hardware deployments, or AI x Crypto business models."}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Autonomous Agents"})," — agent apps, long-horizon execution, multi-agent collaboration, monitoring, security, workflow automation, and real-world agent systems."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Sovereignty"})," — identity, wallets, reputation, payments, data ownership, privacy, ZKP / TEE, verifiable compute, and governance protocols."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Agent Commerce"})," — marketplaces, Agent-as-a-Service, agent-to-agent payments, autonomous digital businesses, and AI x Crypto commercial models."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"AI Hardware & Applications"})," — on-device AI, edge deployment, sensors, wearables, smart home, industrial, medical, agricultural, and physical-digital agent applications."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"OPC / Super Individuals"})," — one-person companies, solo builder infrastructure, personal AI products, and the idea that one founder plus agents can become the next company."]})]}),(0,a.jsx)("h2",{children:"How Submission Works"}),(0,a.jsx)("p",{children:"All submissions run through OpenArena. Builders can use the guided web submission flow, while agent-native teams can also use the terminal / local CLI path. The important part is that the project enters the same OpenArena record: project context, demo or product link, contact route, category, and technical reference for review."}),(0,a.jsx)("p",{children:"The OpenArena workflow is simple: create a builder profile, submit the project, build in public during the submission window, and let the leaderboard and review process track progress. The terminal-native submission path is there for builders who want the submission flow to feel closer to how they already build."}),(0,a.jsx)("h2",{children:"Timeline"}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"July 6, 2026"})," — official launch and registration opens."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"July 11, 2026"})," — BUIDL_OPC_Hackathon_SG Opening Ceremony in Singapore. Detailed venue information is shared only with confirmed participants."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"July 11-12, 2026"}

1)," — BUIDL_OPC_Hackathon_SG, a 48-hour build for solo founders and one-person companies."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"July-August 2026"})," — city activations and online sessions across Singapore, China, the US, the UK, Europe, Southeast Asia, and other builder communities."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"August 9, 2026 at 18:00 SGT"})," — registration closes."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"August 10-September 7, 2026"})," — review and online interviews."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"September 8, 2026"})," — Top 20 announced."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"September 21, 2026"})," — Top 10 finalists announced."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"October 5-6, 2026"})," — Singapore Pitch Day, Final Day (Rewards & Summit), and investor networking."]})]}),(0,a.jsx)("h2",{children:"What Happens In Singapore"}),(0,a.jsx)("p",{children:"Final Week is not just the closing chapter of the competition in Singapore. We see Singapore as a dense startup arena: a place where the Top 10 projects, investors, ecosystem partners, media, and builder communities can gather for focused conversations, face-to-face pitching, demos, and resource matching. The goal is to test whether each project can move from demo to company, protocol, or new way of working. For now, we only publish city-level venue information; detailed venue information is shared with confirmed participants when needed."}),(0,a.jsx)("p",{children:"Demo Day has two roles. One side is founder demos, demo stations, investor networking, and ecosystem support. The other side is a public conversation around AI, labor, sovereignty, and human-AI coexistence. We want the same room to ask who is building agents, how agents may change production relationships, and how society can remain sustainable after human-AI coexistence begins."}),(0,a.jsx)("p",{children:"Award categories and the per-winner breakdown will be announced later. The current committed pool is US$50,000+ in cash and US$350,000+ in credits and resources; final disbursement will follow the published rules and payout records."}),(0,a.jsx)("h2",{children:"Why OpenArena"}),(0,a.jsx)("p",{children:"OpenArena is the benchmark and community tracking layer for distributed autonomous agents. BUIDL_QUESTS expands that role from ranking existing projects to helping new AI-native founders launch, gather feedback, and build credibility in public."}),(0,a.jsx)("p",{children:"For OpenArena, the challenge is also a product test: can a leaderboard become a founder pipeline, a review surface, and a shared memory for an emerging agent ecosystem? BUIDL_QUESTS 2026 is the next answer we are building toward."}),(0,a.jsxs)("p",{children:[(0,a.jsx)(n.Link,{href:"/events/buidl-quests-2026",prefetch:!0,className:i.default.articleLink,children:"Read the BUIDL_QUESTS event page"})," ","or"," ",(0,a.jsx)(n.Link,{href:"/submit?event=buidl-quests-2026",prefetch:!0,className:i.default.articleLink,children:"submit a project on OpenArena"}),"."]})]})}function N(){return(0,a.jsxs)("article",{className:i.default.article,children:[(0,a.jsx)("h1",{className:i.default.articleTitle,children:"BUIDL_QUESTS 2026：面向自主智能体与主权的全球创业者挑战"}),(0,a.jsx)("p",{className:i.default.articleDate,children:"2026 年 6 月 19 日"}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"Autonomous Agents & Sovereignty."})," 2026，我们正在进入一个全新的 AI 时代。"]}),(0,a.jsx)("p",{children:"AI Agents 正在成为新的生产力主体：自主感知、判断、行动，替代人类执行决策与协作，大量工作被 AI 持续提升效率和优化。与此同时，一个根本性的问题随之而来：当 Agent 拥有如此强大的能力，我们如何规避 Agents 可能产生的问题？AI 是否拥有主权？主权又归谁？"}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"BUIDL_QUESTS 2026"})," 试图探索 AI 的能力边界，寻找 Agent 的经济模式、权利范围与社会结构。在未来，AI 到底会创造什么？人与 AI 如何共生？人机共生后，社会如何可持续？"]}),(0,a.jsx)("p",{children:"BUIDL_QUESTS 2026 正是围绕这些问题展开的一场 builder challenge。由 amber.ac 发起，它面向 AI-native founders、Agent builders、Crypto infrastru

1cture teams 和 Super Individuals。所有项目都将通过 OpenArena.to 提交和展示；从公开构建、进展追踪到阶段评审，都会在一个开发竞技场上完成。"}),(0,a.jsxs)("div",{className:i.default.inlineChart,children:[(0,a.jsx)("div",{className:i.default.inlineChartTitle,children:"项目概览"}),(0,a.jsxs)("div",{className:i.default.roadmapInlineList,children:[(0,a.jsxs)("div",{className:i.default.roadmapInlineRow,children:[(0,a.jsx)("span",{className:i.default.roadmapInlineBadge,children:"奖金"}),(0,a.jsx)("span",{className:i.default.roadmapInlineText,children:"US$50,000+ 现金奖金池，以及 US$350,000+ 已承诺 credits 与资源。"})]}),(0,a.jsxs)("div",{className:i.default.roadmapInlineRow,children:[(0,a.jsx)("span",{className:i.default.roadmapInlineBadge,children:"赛道"}),(0,a.jsx)("span",{className:i.default.roadmapInlineText,children:"5 条方向，从自主智能体到主权、商业、硬件应用，以及 OPC / 超级个体。"})]}),(0,a.jsxs)("div",{className:i.default.roadmapInlineRow,children:[(0,a.jsx)("span",{className:i.default.roadmapInlineBadge,children:"决赛"}),(0,a.jsx)("span",{className:i.default.roadmapInlineText,children:"Top 10 晋级新加坡 Final Week，参加 Pitch Day、Final Day（颁奖与峰会）和投资人 networking。"})]})]})]}),(0,a.jsx)("h2",{children:"谁适合参加"}),(0,a.jsx)("p",{children:"BUIDL_QUESTS 面向正在把 AI-native work 变成真实产品、协议和公司的 builders。Solo founder 可以参加，小团队也可以参加；无论你在做基础设施、应用、硬件部署，还是 AI x Crypto 商业模式，都可以进入对应方向。"}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Autonomous Agents / 自主智能体"})," — Agent 应用、长周期任务执行、多智能体协作、监控、安全、工作流自动化和真实世界 Agent 系统。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Sovereignty / 主权"})," — 身份、钱包、声誉、支付、数据归属、隐私、ZKP / TEE、可验证计算和治理协议。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Agent Commerce / 智能体商业"})," — marketplace、Agent-as-a-Service、Agent-to-Agent payment、自主数字商业，以及 AI x Crypto 商业模式。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"AI Hardware & Applications / AI 硬件与应用"})," — on-device AI、边缘部署、传感器、可穿戴、智能家居、工业、医疗、农业和物理-数字交互场景。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"OPC / Super Individuals / 超级个体"})," — 一人公司、solo builder infrastructure、个人 AI 产品，以及“一个人 + 一群 Agent = 下一代公司”的创业形态。"]})]}),(0,a.jsx)("h2",{children:"如何提交"}),(0,a.jsx)("p",{children:"所有提交都运行在 OpenArena 上。Builders 可以使用网页里的 guided terminal submission flow；更 agent-native 的团队也可以使用 terminal / local CLI 路径。无论入口是什么，最终都会进入同一条 OpenArena 记录：项目上下文、demo 或产品链接、联系方式、分类，以及供评审查看的技术参考。"}),(0,a.jsx)("p",{children:"流程很简单：创建 builder profile，提交项目，在提交窗口内公开构建，然后让排行榜和评审机制跟踪项目进展。terminal-native 提交路径的存在，是为了让 builder 用更接近真实工作流的方式进入比赛。"}),(0,a.jsx)("h2",{children:"时间线"}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"2026 年 7 月 6 日"})," — 正式启动，开放报名。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"2026 年 7 月 11 日"})," — OPC 黑客松开幕式，新加坡。具体场地信息仅向确认参与者同步。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"2026 年 7 月 11-12 日"}

1)," — BUIDL_OPC_Hackathon_SG，面向 solo founders 和一人公司的 48 小时共创。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"2026 年 7-8 月"})," — 城市活动和线上 session，覆盖新加坡、中国、美国、英国、欧洲、东南亚和更多 builder 社群。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"2026 年 8 月 9 日 18:00 SGT"})," — 报名截止。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"2026 年 8 月 10 日-9 月 7 日"})," — 评审与线上面谈。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"2026 年 9 月 8 日"})," — Top 20 公布。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"2026 年 9 月 21 日"})," — Top 10 决赛团队公布。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"2026 年 10 月 5-6 日"})," — 新加坡 Pitch Day、Final Day（颁奖与峰会）和投资人 networking。"]})]}),(0,a.jsx)("h2",{children:"新加坡 Final Week"}),(0,a.jsx)("p",{children:"Final Week 不是把比赛搬到新加坡收尾。我们把新加坡视为一个高密度的创业场域：让 Top 10 项目、投资人、生态伙伴、媒体和 builder 社群在这里汇聚，进行面对面的 pitch、demo、交流和资源对接。目标是验证项目是否能从 demo 走向公司、协议或新的工作方式。目前对外只公开城市级信息；具体场地会在需要时同步给确认参与者。"}),(0,a.jsx)("p",{children:"Demo Day 会同时承担两件事：一边是 founder demos、demo 展示、投资人 networking 和生态资源对接；另一边是一场围绕 AI、劳动、主权与人机共生的公共讨论。我们希望把“谁在构建 Agent”、“Agent 会如何改变生产关系”以及“人机共生后社会如何可持续”放在同一个现场里回答。"}),(0,a.jsx)("p",{children:"奖项类别与获奖者分配会后续公布。当前已承诺的奖金池为 US$50,000+ 现金和 US$350,000+ credits 与资源，最终发放会以正式规则和后台 payout 记录为准。"}),(0,a.jsx)("h2",{children:"为什么是 OpenArena"}),(0,a.jsx)("p",{children:"OpenArena 是面向分布式自主智能体的竞赛基准与社区追踪层。BUIDL_QUESTS 把这个角色从“记录和排名已有项目”，推进到“帮助 AI-native founders 发布、获得反馈，并公开建立可信度”。"}),(0,a.jsx)("p",{children:"对 OpenArena 来说，这也是一次产品测试：排行榜能不能成为 founder pipeline、评审界面，以及一个新兴 Agent 生态的共享记忆？BUIDL_QUESTS 2026 是我们正在构建的下一次回答。"}),(0,a.jsxs)("p",{children:[(0,a.jsx)(n.Link,{href:"/events/buidl-quests-2026",prefetch:!0,className:i.default.articleLink,children:"查看 BUIDL_QUESTS 活动页"}),"，或"," ",(0,a.jsx)(n.Link,{href:"/submit?event=buidl-quests-2026",prefetch:!0,className:i.default.articleLink,children:"在 OpenArena 提交项目"}),"。"]})]})}function A(){return(0,a.jsxs)("article",{className:i.default.article,children:[(0,a.jsx)("h1",{className:i.default.articleTitle,children:"OpenArena Track 1 Review: What We Learned About Agents"}),(0,a.jsx)("p",{className:i.default.articleDate,children:"April 14, 2026"}),(0,a.jsx)("p",{children:"OpenArena Track 1 has ended. 107 projects were submitted, accumulating over 2 million GitHub stars. But as we reviewed the data, three fundamental questions emerged — questions that will reshape how we think about agents, ranking, and the future of this platform."}),(0,a.jsx)("h2",{children:"1. What Is an Agent, Really?"}),(0,a.jsx)("p",{children:"When we launched OpenArena, we set up submission criteria expecting autonomous agents — systems that can independently perceive, reason, and act. What we got was far more diverse."}),(0,a.jsx)("p",{children:"Of the 107 submissions, we observed that the majority fell into infrastructure categories:"}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Frameworks & Runtimes"})," (12 projects) — tools for ",(0,a.jsx)("em",{children:"building"})," agents, not agents themselves (Claw Code, eliza, Deer Flow)"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Skills & Knowledge"})," (9 projects) — capability modules that ",(0,a.jsx)("em",{children:"extend"})," ","agents (agent-skills, Find skills, lark skills)"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Enterprise CLI tools"})," (5 projects) — command-line utilities, not autonomous entities"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Truly autonomous agents"})," — a much smaller subset"]})]}),(0,a.jsx)(m,{lang:"en"}),(0,a.jsxs)("p",{children:["This revealed an uncomfortable truth:"," ",(0,a.jsx)("strong",{children:"most people don't yet know what an agent is."})," The industry conflates frameworks, tools, skills, and agents. A CLI wrapper around an LLM is not an agent. A prompt template is not an agent. An agent, by Anthropic's definition, is an LLM that dynamically directs its own processes and tool usage, maintaining control over how 

1it accomplishes tasks."]}),(0,a.jsx)("p",{children:"From our ecosystem analysis, the agent stack has 12 capability axes. But only 5 define the agent itself (Model, Skills, Connectors, Memory, Workflow). The other 7 are external environment (Runtime, Compute, Data, Interface, Auth, Observability, Trigger). Many submissions were building components of the environment, not the agent core."}),(0,a.jsx)(h,{lang:"en"}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"What this means for Track 2:"})," We need clearer taxonomy. Not every AI project is an agent. We are considering introducing submission categories — Agent, Framework, Skill, Tool — so the leaderboard reflects what things actually are."]}),(0,a.jsx)("h2",{children:"2. Attention Is Not Adoption"}),(0,a.jsxs)("p",{children:["Our current ranking algorithm combines GitHub metrics (stars, forks, commits) and Twitter/X engagement (followers, likes, mentions). These are ",(0,a.jsx)("strong",{children:"attention metrics"}),". They tell us who people are talking about."]}),(0,a.jsx)("p",{children:"But they don't tell us:"}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:["Who is actually ",(0,a.jsx)("strong",{children:"using"})," these agents in production?"]}),(0,a.jsxs)("li",{children:["What ",(0,a.jsx)("strong",{children:"results"})," are these agents delivering?"]}),(0,a.jsxs)("li",{children:["Which agents are ",(0,a.jsx)("strong",{children:"calling other agents"})," — the emerging trust network?"]}),(0,a.jsxs)("li",{children:["What is the ",(0,a.jsx)("strong",{children:"task completion rate"})," over time?"]})]}),(0,a.jsx)("p",{children:"A project with 50,000 GitHub stars but zero production deployments ranks higher than a project with 500 stars that 10 companies rely on daily. This is the fundamental gap in our current system."}),(0,a.jsx)(_,{lang:"en"}),(0,a.jsxs)("p",{children:["The hard question is: ",(0,a.jsx)("strong",{children:"how do we collect adoption signals at scale?"})]}),(0,a.jsx)("p",{children:"Some directions we are exploring:"}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Task benchmarks"})," — Standardized tasks where agents are evaluated on output quality, not just popularity."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Agent-to-agent call graphs"}),' — If agents could register their tool calls, we could map which agents trust and depend on which other agents. This "who is calling whom" graph would be a far more meaningful ranking signal than stars.']}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Usage telemetry (opt-in)"})," — Agents that voluntarily report anonymized usage data could earn ranking credit for real-world adoption."]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Community attestation"})," — Verified users and organizations vouch for agents they actually use, creating a reputation layer beyond vanity metrics."]})]}),(0,a.jsx)("p",{children:(0,a.jsx)("strong",{children:"Designing metrics that capture real agent value, not just developer hype."})}),(0,a.jsx)("h2",{children:"3. What Is the Leaderboard Actually Ranking?"}),(0,a.jsxs)("p",{children:["This is the deepest question Track 1 surfaced. Today, OpenArena ranks"," ",(0,a.jsx)("strong",{children:"attention"}),". But what should it rank tomorrow?"]}),(0,a.jsxs)("p",{children:["We believe OpenArena is not just a leaderboard."," ",(0,a.jsx)("strong",{children:"It is a prediction engine for the future form of agents."})]}),(0,a.jsx)("p",{children:"The questions OpenArena is asking the market:"}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"Will agents exist as standalone products?"}),' Or will they be embedded features within existing products? Our data suggests the answer is "both, but differently." The ecosystem today is dominated by frameworks (tools for building agents), not end-user agents. This mirrors the early web — in 1995, most "internet companies" were building web servers and browsers, not Amazon or Google.']}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"What will agents evolve into?"})," We see four possible forms emerging:"]}),(0,a.jsxs)("ol",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Standalone Agents"})," — Fully autonomous entities operating independently"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"In-Product Agents"})," — Agents embedded within existing products as a feature"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Specialist Agents"})," — Domain experts: coding, trading, research, design"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Personal Agents"})," — Agents representing individual identity and preferences"]})]}),(0,a.jsx)(x,{lang:"en"}),(0,a.jsxs)("p",{children:['The ultimate ranking dimension is not "is this agent good?" It is'," ",(0,a.jsx)("strong",{children:'"who is calling whom?"'})," — the trust network between agents. When agents start choosing to rely on other agents, that graph will be the most valuable data structure in the ecosystem."]}),(0,a.jsx)("h2",{children:"4. The Real Goal: Finding What Works"}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"We don't want to find popular projects. We want to find useful ones."})," ","Projects backed by strong teams, solving real problems, with actual adoption."]}),(0,a.jsx)("h3",{children:"How do good agents get adopted?"}),(0,a.jsx)("p",{children:"Not through GitHub stars. Good agents get adopted when they solve a pain point so specific that users can't go back to doing it manually."}),(0,a.jsxs)("p",{children:["The adoption path: ",(0,a.jsx)("strong",{children:"Discovery → Trial → Integration → Dependency"})]}),(0,a.jsx)("p",{children:'Most agents today stall at "trial" because they lack clear use cases, documentation, and reliability guarantees. The gap between a demo and a production-ready agent is enormous.'}),(0,a.jsx)("h3",{children:"How do good agents get discovered?"}),(0,a.jsx)("p",{children:"Today: through KOL tweets, Slack channels, and bookmarks scattered across browsers. This is exactly the problem OpenArena was built to solve — but our current ranking favors attention over utility."}),(0,a.jsxs)("p",{children:["In Track 2, we need discovery mechanisms that surface ",(0,a.jsx)("strong",{children:"useful"})," agents, not just ",(0,a.jsx)("strong",{children:"famous"})," ones:"]}),(0,a.jsxs)("ul",{children:[(0,a.jsx)("li",{children:'Curated tracks ("best for coding", "best for research", "best for trading")'}),(0,a.jsx)("li",{children:"Verified user testimonials from real production users"}),(0,a.jsx)("li",{children:"Adoption-weighted rankings"}),(0,a.jsx)("li",{children:"Team quality signals (track record, responsiveness, documentation)"})]}),(0,a.jsx)("h3",{children:"What is the lifespan of an agent?"}),(0,a.jsx)("p",{children:"We don't know yet — and this is one of the most important metrics we're missing."}),(0,a.jsxs)("ul",{children:[(0,a.jsx)("li",{children:"How many agents from Track 1 will still be actively maintained in 6 months?"}),(0,a.jsx)("li",{children:"How many will have actual users?"}),(0,a.jsx)("li",{children:"The agent ecosystem may follow power law dynamics: a few agents become critical infrastru

1cture, most fade away."})]}),(0,a.jsx)("p",{children:"Tracking survival rate and evolution over time will be a key Track 2 feature."}),(0,a.jsx)("h3",{children:"What evolves in this process?"}),(0,a.jsx)("p",{children:"Three things are evolving simultaneously:"}),(0,a.jsxs)("ol",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"The agents themselves"})," — from wrappers to autonomous systems with memory, identity, and self-improvement"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"The evaluation criteria"})," — from stars to adoption to trust networks"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"The market's understanding"}),' — from "agent = chatbot" to "agent = autonomous economic actor"']})]}),(0,a.jsxs)("p",{children:["OpenArena's role is to track all three evolutions in real-time."," ",(0,a.jsx)("strong",{children:"We are not just ranking agents. We are mapping the emergence of a new species."})]}),(0,a.jsx)(j,{lang:"en"}),(0,a.jsx)("h2",{children:"What's Next"}),(0,a.jsx)("p",{children:"OpenArena will explore these three directions as it evolves:"}),(0,a.jsxs)("ol",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Clearer taxonomy"})," — Introducing submission categories (Agent / Framework / Skill / Tool) with distinct evaluation criteria"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Adoption metrics"})," — Beyond stars: task benchmarks and completion quality, real-world usage sampling and voting, agent-to-agent call relationships"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"Predictive ranking"})," — Through continuous ecosystem tracking, identifying which agent forms are becoming mainstream"]})]}),(0,a.jsxs)("p",{children:["From leaderboard to arena — how do we get there? We are"," ",(0,a.jsx)("strong",{children:"trying to simulate a local prototype of an Agents Society"}),", a world where agents autonomously battle, trade, and evolve."]}),(0,a.jsx)(k,{lang:"en"}),(0,a.jsx)("p",{children:"We ask questions and answer them by building. Where are the answers? In the hands of every person building agents."}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("a",{href:"https://openarena.to/en/submit",target:"_blank",rel:"noopener noreferrer",className:i.default.articleLink,children:"Submit your Agent"})," ","— join the arena"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("a",{href:"https://t.me/OpenArena_to",target:"_blank",rel:"noopener noreferrer",className:i.default.articleLink,children:"Contribute code & design"})," ","— build this product together"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("a",{href:"https://t.me/OpenArena_to",target:"_blank",rel:"noopener noreferrer",className:i.default.articleLink,children:"Join the community"})," ","— discuss, propose, collaborate"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("a",{href:"https://openarena.to/en/prize-pool",target:"_blank",rel:"noopener noreferrer",className:i.default.articleLink,children:"Become a Sponsor"})," ","— support the agent ecosystem"]})]}),(0,a.jsx)("p",{className:i.default.articleFooter,children:(0,a.jsx)("strong",{children:"OpenArena.to — Agents Arena."})}),(0,a.jsxs)("p",{className:i.default.articleFooterLinks,children:[(0,a.jsx)("a",{href:"https://openarena.to",target:"_blank",rel:"noopener noreferrer",children:"openarena.to"})," ","|"," ",(0,a.jsx)("a",{href:"https://t.me/OpenArena_to",target:"_blank",rel:"noopener noreferrer",children:"t.me/OpenArena_to"})," ","|"," ",(0,a.jsx)("a",{href:"https://x.com/sanzhichazi1",target:"_blank",rel:"noopener noreferrer",children:"sanzhi"})]})]})}function w(){return(0,a.jsxs)("article",{className:i.default.article,children:[(0,a.jsx)("h1",{className:i.default.articleTitle,children:"第一期回顾：我们从中学到了什么"}),(0,a.jsx)("p",{className:i.default.articleDate,children:"2026 å¹´ 4 月 14 日"}),(0,a.jsx)("p",{children:"OpenArena 第一期结束了。107 个项目被提交，累计超过 200 万 GitHub stars。但在回顾数据的过程中，三个根本性问题浮出水面——它们将重新塑造我们对智能体、排名和这个平台未来的思考。"}),(0,a.jsx)("h2",{children:"1. 什么才是真正的智能体？"}),(0,a.jsx)("p",{children:"当我们启动 OpenArena 时，我们设定的提交标准期望的是自主智能体——能够独立感知、推理和行动的系统。但我们收到的提交远比预期更加多样。"}),(0,a.jsx)("p",{children:"107 个提交中，我们观察到大多数落入基础è

1®¾æ–½ç±»åˆ«ï¼š"}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"框架与运行时"})," (12 projects) — 构建智能体的工具，不是智能体本身"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"技能与知识"})," (9 projects) — 扩展智能体的能力模块"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"企业 CLI 工具"})," (5 projects) — 命令行工具，不是自主实体"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"真正自主的智能体"})," — 更小的子集"]})]}),(0,a.jsx)(m,{lang:"zh"}),(0,a.jsxs)("p",{children:["这揭示了一个不舒服的事实：",(0,a.jsx)("strong",{children:"大多数人还不知道什么是智能体。"}),"行业混淆了框架、工具、技能和智能体。一个 LLM 的 CLI 封装不是智能体，一个 prompt 模板也不是智能体。按照 Anthropic 的定义，智能体是一个",(0,a.jsx)("strong",{children:"动态地指导自己的流程和工具使用，并保持对如何完成任务的控制"}),"的 LLM。"]}),(0,a.jsx)("p",{children:"从我们的生态分析来看，智能体全栈有 12 个能力轴，但只有 5 个定义了智能体本身（模型、技能、连接器、记忆、编排），其余 7 个是外部环境。许多提交的项目是在构建环境组件，而不是智能体内核。"}),(0,a.jsx)(h,{lang:"zh"}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"对第二期的启示："}),'我们需要更清晰的分类。不是每个 AI 项目都是智能体。我们正在考虑引入提交类别"Agent、Framework、Skill、Tool"让排行榜真正反映事物的本质。']}),(0,a.jsx)("h2",{children:"2. 注意力不等于采用"}),(0,a.jsxs)("p",{children:["我们当前的排行算法结合了 GitHub 指标（stars、forks、commits）和 Twitter/X 互动（粉丝、点赞、提及）。这些是",(0,a.jsx)("strong",{children:"注意力指标"}),"。它们告诉我们大家在讨论谁。"]}),(0,a.jsx)("p",{children:"但它们不能告诉我们："}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:["谁在生产中",(0,a.jsx)("strong",{children:"实际使用"}),"这些智能体？"]}),(0,a.jsxs)("li",{children:["这些智能体交付了什么",(0,a.jsx)("strong",{children:"结果"}),"？"]}),(0,a.jsxs)("li",{children:["哪些智能体在",(0,a.jsx)("strong",{children:"调用其他智能体，"}),"新兴的信任网络？"]}),(0,a.jsxs)("li",{children:["长期的",(0,a.jsx)("strong",{children:"任务完成率"}),"如何？"]})]}),(0,a.jsx)("p",{children:"一个有 5 万 GitHub stars 但零生产部署的项目，排名高于一个只有 500 stars 但 10 家公司每天依赖的项目。这是我们当前体系的根本缺陷。"}),(0,a.jsx)(_,{lang:"zh"}),(0,a.jsxs)("p",{children:["核心难题是：",(0,a.jsx)("strong",{children:"如何规模化地采集采用信号？"})]}),(0,a.jsx)("p",{children:"我们正在探索的方向："}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"任务基准"})," — 标准化任务，根据输出质量而非仅仅是流行度来评估智能体。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"智能体调用图谱"}),' — 如果智能体能注册它们的工具调用，我们就能绘制哪些智能体信任和依赖哪些其他智能体。这个"谁在调用谁"的图谱将是比 stars 更有意义的排名信号。']}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"使用遥测（自愿参与）"})," — 自愿报告匿名使用数据的智能体可以获得真实采用的排名加分。"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"社区认证"})," — 经过验证的用户和组织为他们实际使用的智能体背书，创建超越虚荣指标的声誉层。"]})]}),(0,a.jsx)("p",{children:(0,a.jsx)("strong",{children:"设计能捕捉真实智能体价值的指标体系，而非仅仅是开发者热度。"})}),(0,a.jsx)("h2",{children:"3. 排行榜到底在排什么？"}),(0,a.jsxs)("p",{children:["这是第一期浮现的最深层问题。今天，OpenArena 排的是",(0,a.jsx)("strong",{children:"注意力"}),"。但明天应该排什么？"]}),(0,a.jsxs)("p",{children:["我们认为 OpenArena 不仅仅是一个排行榜。",(0,a.jsx)("strong",{children:"它是一个预测智能体未来形态的引擎。"})]}),(0,a.jsx)("p",{children:"OpenArena 向市场提出的问题："}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"智能体会作为独立产品存在吗？"}),'还是会成为现有产品的内置功能？我们的数据表明答案是"两者都有，但形态不同"。今天的生态以框架（构建智能体的工具）为主，而不是终端用户智能体。这与早期互联网如出一辙，1995 年，大多数"互联网公司"在构建的是服务器和浏览器，而不是 Amazon 或 Google。']}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"智能体会演变成什么？"}),"我们看到四种可能的形态正在浮现："]}),(0,a.jsxs)("ol",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"独立智能体"})," — 完全独立的自主实体"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"产品内置智能体"})," — 作为功能嵌入现有产品"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"专业é¢

1†åŸŸæ™ºèƒ½ä½“"})," — 编程、交易、研究、设计"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"个人特征智能体"})," — 代表个人身份和偏好"]})]}),(0,a.jsx)(x,{lang:"zh"}),(0,a.jsxs)("p",{children:['终极排名维度不是"这个智能体好不好"，而是',(0,a.jsx)("strong",{children:"「谁在调用谁」，"}),"智能体之间的信任网络。当智能体开始选择依赖其他智能体时，这个图谱将是生态中最有价值的数据结构。"]}),(0,a.jsx)("h2",{children:"4. 真正的目标：找到有用的东西"}),(0,a.jsxs)("p",{children:[(0,a.jsx)("strong",{children:"我们不是要找流行的项目，而是要找有用的项目。"}),"有强团队支撑、解决真实问题、有实际采用的项目。"]}),(0,a.jsx)("h3",{children:"好的智能体如何被采用？"}),(0,a.jsx)("p",{children:"不是通过 GitHub stars。好的智能体被采用是因为它解决了一个如此具体的痛点，以至于用户无法回到手动操作。"}),(0,a.jsxs)("p",{children:["采用路径：",(0,a.jsx)("strong",{children:"发现 → 试用 → 集成 → 依赖"})]}),(0,a.jsx)("p",{children:'今天大多数智能体停滞在"试用"阶段，因为缺乏清晰的使用场景、文档和可靠性保证。从演示到生产就绪的智能体之间的差距是巨大的。'}),(0,a.jsx)("h3",{children:"好的智能体如何被发现？"}),(0,a.jsx)("p",{children:"目前：通过 KOL 推文、Slack 频道和散落在浏览器中的书签。这正是 OpenArena 要解决的问题——但我们当前的排名偏向注意力而非实用性。"}),(0,a.jsxs)("p",{children:["第二期需要能浮现",(0,a.jsx)("strong",{children:"有用的"}),"智能体的发现机制："]}),(0,a.jsxs)("ul",{children:[(0,a.jsx)("li",{children:'策展赛道（"最佳编程"、"最佳研究"、"最佳交易"）'}),(0,a.jsx)("li",{children:"经验证的用户证言"}),(0,a.jsx)("li",{children:"采用加权排名"}),(0,a.jsx)("li",{children:"团队质量信号（track record、响应速度、文档）"})]}),(0,a.jsx)("h3",{children:"智能体的存活周期是多久？"}),(0,a.jsx)("p",{children:"我们还不知道——这是我们缺失的最重要的指标之一。"}),(0,a.jsxs)("ul",{children:[(0,a.jsx)("li",{children:"第一期的智能体中，有多少在 6 个月后仍在积极维护？"}),(0,a.jsx)("li",{children:"有多少会有实际用户？"}),(0,a.jsx)("li",{children:"生态可能遵循幂律分布：少数成为基础设施，大多数消亡。"})]}),(0,a.jsx)("p",{children:"追踪存活率和随时间的演变将是第二期的关键功能。"}),(0,a.jsx)("h3",{children:"在这个过程中演变的是什么？"}),(0,a.jsx)("p",{children:"三件事在同时演变："}),(0,a.jsxs)("ol",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"智能体本身"})," — 从封装器到具有记忆、身份和自我改进能力的自主系统"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"评估标准"})," — 从 stars 到采用率到信任网络"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"市场的认知"}),' — 从"智能体=聊天机器人"到"智能体=自主经济实体"']})]}),(0,a.jsxs)("p",{children:["OpenArena 的角色是实时追踪这三个演变。",(0,a.jsx)("strong",{children:"我们不仅仅在排名智能体。我们在绘制一个新物种的涌现地图。"})]}),(0,a.jsx)(j,{lang:"zh"}),(0,a.jsx)("h2",{children:"下一步"}),(0,a.jsx)("p",{children:"OpenArena 将在不断演变中探索这三个方向："}),(0,a.jsxs)("ol",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"更清晰的分类"})," — 引入提交类别（Agent / Framework / Skill / Tool）配合不同的评估标准"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"采用指标"})," — 超越 stars，任务基准与完成度的质量评估，真实使用采样与投票、智能体调用关系"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("strong",{children:"预测性排名"})," — 通过持续追踪生态演变，识别哪些智能体形态正在成为主流"]})]}),(0,a.jsxs)("p",{children:["从排行榜到竞技场，这条路怎么走？我们",(0,a.jsx)("strong",{children:"试图模拟一个智能体社会的局部雏形"}),"，一个智能体自主对战、交易和进化的竞技世界。"]}),(0,a.jsx)(k,{lang:"zh"}),(0,a.jsx)("p",{children:"我们提出问题，以实际摸索作为回答。答案在哪？在每一个正在构建 agent 的人手里。"}),(0,a.jsxs)("ul",{children:[(0,a.jsxs)("li",{children:[(0,a.jsx)("a",{href:"https://openarena.to/en/submit",target:"_blank",rel:"noopener noreferrer",className:i.default.articleLink,children:"提交你的 Agent"})," ","— 加入竞技"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("a",{href:"https://t.me/OpenArena_to",target:"_blank",rel:"noopener noreferrer",className:i.default.articleLink,children:"贡献代码与设计"})," ","— 一起构建这个产品"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("a",{href:"https://t.me/OpenArena_to",target:"_blank",rel:"noopener noreferrer",className:i.default.articleLink,children:"加入社区"})," ","— 讨论、提议、协作"]}),(0,a.jsxs)("li",{children:[(0,a.jsx)("a",{href:"https://openarena.to/en/prize-pool",target:"_blank",rel:"noopener noreferrer",className:i.default.articleLink,children:"成为 Sponsor"})," ","— 支持智能体生态的发展"]})]}),(0,a.jsx)("p",{className:i.default.articleFooter,children:(0,a.jsx)("strong",{children:"OpenArena.to — Agents Arena."})}),(0,a.jsxs)("p",{className:i.default.articleFooterLinks,children:[(0,a.jsx)("a",{href:"https://openarena.to",target:"_blank",rel:"noopener noreferrer",children:"open

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