OpenAI unveils Workspace Agents, a successor to custom GPTs for enterprises that can plug directly into Slack, Salesforce and more

OpenAI introduced a new paradigm and product today that is likely to have huge implications for enterprises seeking to adopt and control fleets of AI agent workers.

Called "Workspace Agents," OpenAI's new offering essentially allows users on its ChatGPT Business ($20 per user per month) and variably priced Enterprise, Edu and Teachers subscription plans to design or select from pre-existing agent templates that can take on work tasks across third-party apps and data sources including Slack, Google Drive, Microsoft apps, Salesforce, Notion, Atlassian Rovo, and other popular enterprise applications.

Put simply: these agents can be created and accessed from ChatGPT, but users can also add them to third-party apps like Slack, communicate with them across disparate channels, ask them to use information from the channel they're in and other third-party tools and apps, and the agents will go off and do work like drafting emails to the entire team, selected members, or pull data and make presentations.

Human users can trust that the agent will manage all this complexity and complete the task as requested, even if the user who requested it leaves.

It's the end of "babysitting" agents and the start of letting them go off and get shit done for your business — according to your defined business processes and permissions, of course.

The product experience appears centered on the Agents tab in the ChatGPT sidebar, where teams can discover and manage shared agents. This functions as a kind of team directory: a place where agents built by coworkers can be reused across a workspace. The broader idea is that AI becomes less of an individual productivity trick and more of a shared organizational resource.

The Codex backbone

The most significant shift in this announcement is the move away from purely session-based interaction. Workspace agents are powered by Codex — the cloud-based, partially open-source AI coding harness that OpenAI has been aggressively expanding in 2026 — which gives them access to a workspace for files, code, tools, and memory.

OpenAI says the agents can do far more than answer a prompt. They can write or run code, use connected apps, remember what they have learned, and continue work across multiple steps. Building an agent on a code-execution substrate rather than a pure LLM-call-and-response loop is what gives workspace agents the ability to do real work — transforming a CSV, reconciling two systems of record, generating a chart that is actually correct — rather than describing what the work would look like.

Persistence and scheduling

In earlier AI assistant models, progress paused when the user stopped interacting. Workspace agents change that by running in the cloud and supporting long-running workflows. Teams can also set them to run on a schedule. That means a recurring reporting agent can pull data on a set cadence, generate charts and summaries, and share the results with a team without anyone manually kicking off the process.

Agents also retain memory across runs. OpenAI says they can be guided and corrected in conversation, so they improve the more a team uses them. Over time they start to reflect how a team actually works — its processes, its standards, its preferred ways of handling recurring jobs — which is a meaningfully different proposition from the static instruction-set GPTs that preceded them.

The integrated ecosystem

OpenAI's claim is that agents should gather information and take action where work already happens, rather than forcing teams into a separate interface. That point becomes clearest in the Slack examples. OpenAI's launch materials show a product-feedback agent operating inside a channel answering questions with themed summaries pulled from multiple sources.

Workspace agents are explicitly positioned by OpenAI as an evolution of its custom GPTs. However, now OpenAI says it is deprecating the custom GPT standard for organizations in a yet-to-be determined future date, and will require Business, Enterprise, Edu and Teachers users to update their GPTs to be new workspace agents. Individuals who have made custom GPTs can continue using them for the foreseeable future.