内容来源：https://techcrunch.com/2026/05/13/notion-just-turned-its-workspace-into-a-hub-for-ai-agents/

内容总结：

Notion发布开发者平台：从笔记工具转向AI智能体协同中枢

知名生产力软件公司Notion于周三通过直播发布重大产品更新，正式迈入AI智能体时代。这家以协作笔记应用闻名的企业，现已推出全新开发者平台，旨在拓展其定制AI智能体的能力边界，实现与外部智能体的互联，并支持团队构建能够从任意数据库调取数据的自动化多步骤工作流。

通过构建一个“编排层”——即协调AI在多种工具和数据源间运作的系统——Notion正努力摆脱“带AI功能的笔记工具”定位，转型为人与智能体可在不同工具和数据库间协作的核心枢纽。

今年2月，Notion首次推出“自定义智能体”，将其描述为处理重复性任务的“AI队友”，例如回答常见问题、汇总状态更新以及自动化工作流。公司透露，自发布以来，用户已创建超过100万个智能体。

然而，这些智能体此前存在局限性：既无法连接外部数据，也无法使用自定义逻辑。同时，企业使用的外部智能体也无法与Notion工作区互通。团队不得不依赖第三方自动化平台或自建脚本在自有基础设施上运行以绕开这些障碍。Notion联合创始人兼CEO伊万·赵在直播中坦言：“诚然，历史上Notion并非最重视开发者的平台，但情况正在改变。”

现在，Notion允许团队部署自己的自定义代码。其最新推出的云端代码运行环境“Workers”，让客户能够编写业务逻辑并部署至安全沙箱中，从而在无需依赖外部基础设施的情况下，实现数据同步、构建自定义工具、并通过网络钩子触发任务。Notion强调，用户甚至无需亲自写代码，其偏好的AI编程智能体即可代劳。

“Workers”将沿用与自定义智能体相同的积分系统，但Notion宣布至今年八月前免费开放，以便开发者进行实验。

作为新平台的一部分，数据库同步功能同样由Workers支持，可从任何拥有API的数据库拉取数据。这意味着用户能在Notion数据库中访问并实时更新来自Salesforce、Zendesk、Postgres等外部平台的数据。伊万·赵表示，这让用户“能够将Notion数据库当作一张空白画布，同时驱动你的工作流和智能体。”

除数据同步外，Workers还能构建带有自定义逻辑的智能体工具，以应对仅通过MCP协议连接第三方难以满足的场景。此外，新平台允许用户直接与外部AI智能体对话、分配任务并跟踪进度。首批支持的合作伙伴智能体包括Claude Code、Cursor、Codex和Decagon。对于希望将内部自建智能体与Notion对接的团队，平台也提供了外部智能体API。

开发者和智能体可通过Notion CLI命令行工具访问新平台，该工具面向商业版和企业版用户开放。

此次平台升级标志着Notion战略的重大转变——从单一应用走向可编程平台，从而与各类工作流自动化平台展开竞争。随着企业日益追求知识工作自动化并构建内部AI系统，一个能够将智能体、自定义代码和实时数据整合于一体的平台，其形态正从生产力工具转变为核心基础设施。这也顺应了AI行业从聊天机器人向跨平台自主操作工具过渡的宏观趋势。

“任何数据、任何工具、任何智能体——这就是Notion开发者平台的宏大愿景。”伊万·赵总结道。

中文翻译：

生产力软件制造商Notion正迈入智能体时代。
本周三，这家以协作笔记应用闻名的公司在产品直播发布会上推出全新开发者平台，该平台不仅拓展了其定制人工智能智能体的能力，还支持与外部智能体连接，并允许团队构建可跨数据库提取数据的自动化多步骤工作流。

通过构建一个协调层——即在多个工具和数据源之间统筹AI工作的系统——Notion正将自己定位为超越传统笔记工具的AI枢纽，旨在让人类与智能体能在不同工具和数据库间协同作业。

今年2月，Notion首次推出定制智能体——这些AI团队成员可处理重复性任务，例如解答常见问题、整理状态更新和自动化工作流。该公司表示，自发布以来，Notion用户已创建超过一百万个智能体。

然而，这些智能体存在局限：它们无法连接外部数据或采用自定义逻辑，企业使用的外部智能体也无法对接Notion工作空间。团队不得不通过第三方自动化平台或自行编写基础设施脚本来解决这些问题。

"诚然，Notion历来并非以开发者为核心导向的平台，"Notion联合创始人兼首席执行官Ivan Zhao在直播中坦言，"但情况正在改变。"

如今，Notion将允许团队部署自定义代码。通过其全新云原生运行环境Workers，客户可编写业务逻辑并部署至安全沙箱（一种隔离环境，防止代码干扰其他系统）。这使得团队能实现数据同步至Notion、构建自定义工具以及通过Webhooks（即当其他应用触发事件时自动发送信号的机制）启动工作流，而无需依赖外部基础设施。

用户甚至无需亲自编写代码——该公司指出，其偏好的AI编程智能体即可代劳。

Workers将沿用与定制智能体相同的信用体系，但Notion在8月前免费开放该功能，以便开发者进行实验。

同步外部数据源同样是Notion开发者平台的组成部分。依托Workers的数据库同步功能，可通过API从任意数据库提取数据。这意味着用户能在Notion数据库中访问Salesforce、Zendesk、Postgres等平台的数据，并保持实时更新。

Zhao指出，这意味着Notion用户如今可"将Notion数据库作为画布，既驱动工作流又赋能智能体"。

当通过MCP（模型上下文协议，一种允许AI工具连接外部数据和服务的通用标准）连接第三方仍显不足时，Workers还能通过自定义逻辑构建智能体工具。

另一项新增功能允许Notion用户直接与外部AI智能体对话、分配任务并追踪进度，仿佛这些智能体本身就是Notion的定制成员。初始阶段，Notion支持的合作伙伴智能体包括Claude Code、Cursor、Codex和Decagon，并计划后续增加更多。

若团队希望将自建内部智能体（如专为公司需求定制的工具）接入Notion，还可使用外部智能体API。

开发者与智能体通过Notion CLI（一款面向开发者的命令行工具）与开发者平台交互。该工具仅对企业版和商业版用户开放。

此开发者平台标志着Notion战略转型——从单纯的应用软件向可编程平台演进，从而与其他工作流自动化平台竞争。随着企业愈发追求知识工作自动化并构建内部AI系统，能将智能体、自定义代码与实时数据整合至统一平台的方案，其定位已超越生产力应用，逐步演变为核心基础设施。

此举亦顺应了AI行业的宏观趋势：各大公司正从AI聊天机器人向能在不同软件平台执行操作的智能体工具转型。

"任何数据、任何工具、任何智能体——这便是Notion开发者平台的宏伟蓝图，"Zhao总结道。

英文来源：

Productivity software maker Notion is stepping into the agentic era.
In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.
By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.
In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.
However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.
“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”
Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.
You don't even have to write the code. The company points out that your preferred AI coding agent can do it for you.
The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.
Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases -- and keep the data current.
Zhao noted that this means that Notion's users can now "use your Notion database as a sheer canvas to power both your workflows and your agents."
Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP -- short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services -- isn't enough.
Another addition allows Notion's users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion's own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.
There's an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they've built specifically for their company's needs.
Developers and agents interact with Notion's new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company's Business and Enterprise Plans.
The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.
It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.
"Any data, any tool, any agent -- that's the big picture for the Notion Developer Platform," Zhao said.