2026 年最佳代理浏览器（评出前 7 名）
Disclaimer: I am not affiliated with any of the brands mentioned below, and this article does not contain affiliate links.
Agentic browsers have moved from experiment to real infrastructure.
在实践中，这意味着人工智能系统不再局限于回答问题或调用应用程序接口。它们可以打开网站、检查页面、点击按钮、填写表格、提取结构化数据，并完成多步骤工作流，其逻辑远没有传统脚本那么脆弱。对于构建研究工具、刮擦管道、浏览器自动化产品和人工智能辅助驾驶员的团队来说，浏览器层突然成为一个真正的架构决策。
If you are already comparing agent stacks, it also helps to understand how this category overlaps with adjacent tooling. Some products are closer to browser infrastructure. Some are better understood as agent frameworks. Some are closer to a consumer AI browser than a production automation tool. That distinction matters.
If your work is more scraping-heavy than assistant-heavy, also see our guide to the best scraping browsers. And if you are building the rest of the stack around these tools, our roundup of the best AI coding tools is a useful companion.
本文汇总 2026 年值得关注的工具与方案，比较其核心功能、优缺点与适用场景。
- Vercel Agent Browser 是以开发人员为中心的 CLI 工作流和编码助手的最佳选择。
- 光明数据代理浏览器 is the best fit when your agents need managed browser infrastructure and help dealing with difficult websites.
- Browser Use is a strong choice if you want an open framework for custom agent behavior.
- Browserbase is one of the clearest options when you need production browser infrastructure, observability, and scale.
- Perplexity Comet is the most consumer-facing option for daily browsing and AI-assisted tasks.
- Skyvern is attractive for form-heavy workflows and no-code or low-code automation teams.
- Steel is the privacy-first option for teams that want open-source browser infrastructure they can control themselves.
What Is an Agent Browser?
An agent browser is a browser runtime that an AI system can operate toward a goal instead of following a hard-coded, step-by-step script.
这听起来与 Playwright、Puppeteer 或 Selenium 很接近，但意图不同。
Traditional browser automation is usually deterministic. You define selectors, page order, and expected states in advance. It works well until the target site changes layout, renames a button, injects another modal, or routes the user through a different flow. Agentic browser tooling tries to close that gap by giving the model a richer way to inspect and act on the page, then adapt when the path is not exactly what the developer expected.
In real workflows, that can mean:
- using accessibility trees or semantic references instead of brittle selectors alone
- combining browser control with reasoning loops
- running browser sessions inside managed infrastructure instead of on a local machine
- recording, replaying, and debugging long-running sessions more easily
- adding higher-level tools for forms, navigation, and agent execution
That does not make every product in this category interchangeable. Some are best treated as browser control surfaces for developers. Others are infrastructure layers. Others are end-user AI browsers.
How I Evaluated These Tools
For this list, I focused on seven practical questions:
- How well does the tool fit real AI-driven browser workflows?
- Is it built for developers, operations teams, or non-technical users?
- How much control do you have over the browser session?
- How easy is it to plug into an existing agent stack?
- How well does it handle dynamic, login-heavy, or interaction-heavy websites?
- How much infrastructure do you need to manage yourself?
- Is it better suited to experimentation, production operations, or personal browsing?
I also intentionally removed exact pricing, fundraising, traffic, and scale claims that were not worth repeating without a fresh deep verification pass. For fast-moving tools like these, official product pages are the right place to confirm current limits and pricing before you commit.
Top 7 Best Agentic Browsers for 2026
1. Vercel Agent Browser
网站： https://github.com/vercel-labs/agent-browser
Vercel Agent Browser 是这一组中最适合开发人员使用的选项。
它的核心吸引力很简单：它为人工智能代理提供了一个快速的浏览器自动化 CLI，让人感觉它首先是为编码助理打造的。该项目是开源的，工具链以命令行工作流为导向，面向模型的抽象比仅使用脆性选择器的方法更简洁。官方软件仓库将其描述为一个为人工智能代理提供快速原生 Rust CLI 的浏览器自动化 CLI，而这正是它脱颖而出的原因。
最大的区别在于快照工作流程。与强迫模型去猜测不断变化的 CSS 选择器不同，该工具可以公开一个稳定的、结构化的页面视图，更便于 LLM 进行推理。在实践中，这减少了将浏览器操作连接到代理循环时所需的胶水代码量。
最适合 人工智能编码助手、开发人员工具、脚本化代理工作流程，以及需要 CLI 控制界面的团队。
What stands out:
- Open-source and easy to inspect
- Designed around AI-agent control, not retrofitted from test tooling
- 非常适合已经熟练掌握 CLI 自动化的工程团队
- Good conceptual match for model-driven snapshots and semantic actions
Watchouts:
- You still need to think about infrastructure, environment, and site-specific reliability
- It is not the right fit for non-technical teams
- It is better as a building block than an all-in-one production platform
2. Bright Data Agent Browser
网站： https://brightdata.com/ai/agent-browser
Bright Data Agent 浏览器是本列表中生产优先的选项。
Vercel Agent Browser 给人的感觉就像是为开发人员提供的一款功能强大的本地工具，而 Bright Data 则将其产品定位为需要在更广泛的网络上执行自动操作的代理的浏览器基础架构。这种区别很重要。如果您正在运行的网站难度大、保护措施严密或操作混乱，您往往不太关心本地控制层的优雅程度，而更关心会话是否能保持存活、浏览器环境是否能得到管理，以及您的堆栈是否能在无需持续看护的情况下继续运行。
这就是 Bright Data 名列本榜单的主要原因。它将大量浏览器操作工作压缩到一个可管理的平台中。对于构建必须在多个网站上可靠运行的代理的团队来说，这可以节省大量时间。
最适合 Production-grade browser automation, operational teams, and companies that want a managed browser layer instead of stitching everything together themselves.
What stands out:
- Managed browser environment designed for automated actions
- Useful when operational reliability matters more than pure developer elegance
- Fits teams that do not want to own every moving piece of browser infrastructure
- Can be easier to adopt in production than a DIY stack
Watchouts:
- Less attractive if your goal is a fully open or minimal-cost stack
- Platform dependency is the tradeoff for convenience
- You should confirm current pricing and usage terms on the official site before committing
3. Browser Use
如果你需要的是一个可定制的框架，而不是一个狭隘的浏览器工具，那么浏览器使用是最明确的选择之一。
Its official positioning is revealing: “The way AI uses the web.” That is broader than a browser driver, and that is why developers gravitate toward it. Browser Use is not just about opening pages and clicking buttons. It is about building the reasoning-and-action loop around those interactions.
For teams that want flexibility, that matters a lot. You can shape how the agent plans, retries, interprets context, and coordinates browser work with the rest of your stack. That makes it especially attractive when you are experimenting, building a product around browser agents, or trying to keep your architecture model-agnostic.
最适合 Custom agent systems, open architectures, and teams that want more control over the reasoning layer.
What stands out:
- Framework mindset rather than single-purpose tool mindset
- Good fit for developers building their own agent behavior
- Works well in stacks where browser interaction is only one component of a bigger system
- Flexible enough for experimentation and product development
Watchouts:
- You still need to own more of the system than with a managed platform
- Infrastructure, reliability, and operating costs do not disappear just because the framework is strong
- It is less turnkey than a consumer or no-code product
4. Browserbase
网站： https://www.browserbase.com/
Browserbase 是浏览器基础架构被代理商视为一流产品的最佳范例之一。
它的主页清晰地勾勒出了产品诉求：让你的代理访问整个网络，让网络像 API 一样可靠和可编程。这句话很好地概括了该产品。Browserbase 主要销售的不是代理推理，而是代理系统可以运行的浏览器层。它销售的是代理系统可以在其上运行的浏览器层。
That makes it a strong option when the real challenge is not “How do I teach an agent to click?” but “How do I run, observe, and debug browser sessions at scale without turning this into an operations nightmare?”
最适合 Teams that need browser infrastructure, session management, observability, and production ergonomics.
What stands out:
- Clear infrastructure-first positioning
- Useful for agents that need reliable browser sessions at scale
- Strong fit for production systems where replay and debugging matter
- Works well alongside other agent frameworks instead of replacing them
Watchouts:
- It is not a complete agent stack by itself
- You still need to choose the higher-level orchestration layer
- For some teams, infrastructure plus framework will still mean multiple moving pieces
5. Perplexity Comet
网站： https://www.perplexity.ai/comet
Perplexity Comet 之所以上榜，是因为它几乎比其他任何产品都能更好地展示代理浏览面向消费者的一面。
该浏览器的官方页面将其描述为 "Perplexity 的新浏览器"，并一再将其定位为 "为你工作的浏览器"。这是一个正确的视角。彗星浏览器主要不是一个开发者浏览器运行时。它是为那些希望将浏览、辅助、任务执行和研究融为一体的用户设计的产品。
这使得它与这里的其他条目有很大不同。如果你正在构建一个生产型人工智能自动化堆栈，Comet 可能不是你的基础架构答案。但是，如果你想了解代理浏览在产品化后的日常使用情况，它就是该类别中最相关的产品之一。
最适合 Research-heavy browsing, personal productivity, and users who want an AI browser experience without building their own stack.
What stands out:
- Consumer-first product design
- Useful for demonstrating what agentic browsing feels like in day-to-day use
- Strong fit for browsing, summarization, and delegated web tasks
- Low setup burden compared with developer infrastructure tools
Watchouts:
- Not the best fit for high-control engineering workflows
- Less suitable than infrastructure tools for custom multi-session production systems
- You should think of it as an AI browser product, not a generic browser automation substrate
6. Skyvern
Skyvern 之所以引人注目，是因为它采用了与传统的选择器优先自动化不同的交互模式。
该项目将自己描述为使用 LLM 和计算机视觉实现基于浏览器的工作流程自动化，这也正是它在此榜上有名的原因。对于许多团队，尤其是非技术团队或工作流程繁重的团队来说，浏览器自动化最难的部分并不是启动浏览器。最难的是在不每周重建脆弱的选择器的情况下，应对页面变化、奇怪的布局、表单复杂性和网站变化。
Skyvern 以可视化和工作流程为导向的方法旨在解决这一问题。当你的任务看起来更像是 "在一个杂乱的网站上完成这个流程"，而不是 "从一个可预测的页面中提取一个稳定的表格 "时，这种方法尤其适用。
最适合 Form-heavy workflows, workflow automation teams, and no-code or low-code operations.
What stands out:
- 计算机视觉和 LLM 框架，而不是纯粹的选择器依赖性
- Strong fit for brittle, layout-sensitive workflows
- Accessible to teams that do not want to hand-build every browser step
- Official project also supports a no-code workflow builder
Watchouts:
- Less appealing if you want tight, low-level engineering control
- 与直接的 DOM 驱动工具相比，推理速度可能更慢或更复杂
- Not every scraping workload benefits from a vision-first approach
7. Steel
对于需要开放式浏览器基础架构而又不放弃控制权的团队来说，Steel 是最直接的解决方案。
它的官方定位非常明确：Steel 是一款开源浏览器 API，用于控制云中的浏览器群。这一点很重要，因为许多团队喜欢浏览器基础架构，但不喜欢完全依赖专有服务或通过第三方协议栈发送敏感会话数据。
Steel 很好地填补了这一空白。对于注重隐私、数据驻留或浏览器层长期控制的团队来说，它是一种自托管的开放式替代方案。
最适合 Privacy-sensitive teams, self-hosted deployments, and engineering organizations that want browser infrastructure they can own.
What stands out:
- 开源浏览器 API 定位清晰
- Good fit for regulated or compliance-heavy environments
- Useful when you want infrastructure control rather than vendor dependency
- Pairs well with custom agent logic or external orchestration layers
Watchouts:
- Self-hosting shifts more responsibility back to your team
- You need to manage uptime, scaling, and operational hygiene
- The ecosystem is smaller than some of the more mainstream managed options
How to Choose the Right Agent Browser
The quickest way to narrow this list is to decide what problem you are actually solving.
如果你想要一款能整齐插入 CLI 驱动的代理工作流的开发人员工具，请从以下工具开始 Vercel Agent Browser.
If you want an open framework for custom behavior, start with Browser Use.
If you want production browser infrastructure, compare 光明数据代理浏览器 和 Browserbase.
If you want a browser product for personal use, research, and daily delegated tasks, look at Perplexity Comet.
If you want resilient workflow automation for forms and messy interfaces, Skyvern is worth serious attention.
If you need control, self-hosting, and an open infrastructure layer, Steel is the obvious shortlist candidate.
最终想法
The most important takeaway is that “agentic browser” is not one thing.
Some of these products are best understood as browser control layers. Some are browser infrastructure. Some are workflow platforms. Some are AI browsers for end users. If you compare them as if they all solve the exact same problem, you will end up buying or building the wrong thing.
For many developers, Vercel Agent Browser is the cleanest starting point. For teams that need managed operations, 光明数据代理浏览器 和 Browserbase are more relevant. For open experimentation, Browser Use remains a strong choice. For no-code workflows, Skyvern is one of the more interesting options. And for self-hosted control, Steel fills a real need.
This category is still moving quickly, but one thing is already clear: as AI agents spend more time operating on the live web, the browser layer becomes infrastructure, not just an implementation detail.
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