Notion has just transformed its workspace into a hub for AI clients

Productivity software maker an idea Stepping into the agent era.

In a live broadcast Product advertisement On Wednesday, the company, known for its collaborative note-taking app, introduced a new platform for developers that extends the capabilities of custom AI agents, communicates with external agents, and allows teams to build multi-step automated workflows that can pull data from any database.

By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion positions itself as more than just a note-taking tool with AI features, and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion launched for the first time Dedicated agents – AI teammates who handle repetitive tasks, such as answering frequently asked questions, collecting status updates, and automating workflow. Since then, Notion customers have built more than 1 million agents, the company says.

However, these agents had limitations. They could not connect to external data or use custom logic. The external agents the companies used also had no way to connect to the Notion workspace. Teams had to solve these problems by using third-party automation platforms or writing their own scripts that ran on their own infrastructure.

“It’s true that Notion, historically, has not been the most developer-focused platform,” Evan Chow, co-founder and CEO of Notion, said during the livestream. “But things change.”

Now, Notion will allow teams to deploy their own custom code. With Notion’s new cloud-based Workers environment for running custom code, customers can write their logic and deploy it in a secure sandbox (an isolated environment that prevents code from interfering with other systems). This allows teams to do things like sync their data in Notion, create custom widgets, and initiate work with webhooks — automatic signals that initiate actions when something happens in another application — without having to rely on external infrastructure.

You don’t even have to write the code. The company points out that your favorite AI coding agent can do this for you.

Workers will use the same credit system as dedicated agents, but Notion will make this free until August, so developers can experiment.

Synchronization of external data sources is also part of the Notion Developer Platform. The database synchronization feature, powered by Workers, can pull data from any database using an application programming interface (API). This means you can access data from places like Salesforce, Zendesk, Postgres, and others within your Notion databases — and keep the data up to date.

This means Notion users can now “use your Notion database as a bare canvas to run your workflows and your agents,” Zhao noted.

Workers can also create agent tools using custom logic, for those times when communicating with a third party via MCP — short for Model Context Protocol, an emerging standard that allows AI tools to connect to external data and services — isn’t enough.

Another addition allows Notion users to chat directly with the external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own dedicated agents. At launch, Notion says Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.

There’s also an external agent API, if teams want to connect their internal agents to Notion, like the ones they created specifically to meet their company’s needs.

Developers and agents interact with the new Notion developer platform via Command line ideaa command-line tool for developers, is available in the company’s Business and Enterprise plans.

The developer platform represents a shift in Notion’s strategy as it becomes more of a programmable platform than just an application, making it competitive with other workflow automation platforms. As companies increasingly look to automate cognitive work and build internal AI systems, a platform that connects agents, custom code, and live data in one place is starting to look less like a productivity application and more like core infrastructure.

It also follows the broader trend among AI companies, which have moved beyond AI-based chatbots to offer agent tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture of the Notion developer platform,” Zhao said.