OpenAI announces workspace agents in ChatGPT, letting teams create Codex-powered shared agents for complex tasks, and says they are “an evolution of GPTs”
Codex-powered agents for teams. — Create an agent(opens in a new window)Contact sales(opens in a new window)
OpenAI
Context & Ripple Effects
OpenAI’s Codex coverage has moved from a software-engineering agent offered to paid ChatGPT business tiers toward an agent the company describes as able to handle a much wider range of computer-based professional work.
Workspace agents put that broader Codex capability into a shared-team form inside ChatGPT, framing them as the next step beyond individually created GPTs rather than as a separate product category.
First-order effects
ChatGPT teams can create shared, Codex-powered agents for complex work, making team-specific agent setups reusable by colleagues rather than confined to an individual user’s GPT configuration.
OpenAI further connects Codex to ChatGPT’s workplace product, positioning coding-derived agent capabilities as part of the core collaboration environment.
Second-order effects
Teams evaluating AI workflows can centralize reusable agent configurations in ChatGPT, increasing the practical importance of shared workspace access and governance over one-off prompts or personal assistants.
The move strengthens the product logic for integrating Codex with ChatGPT: broader professional-task agents become more valuable when they are available where teams already collaborate.
Third-order effects
If this product direction persists, the distinction between coding agents and general workplace assistants will continue to erode, with agent capability becoming a shared layer of the work surface rather than a specialist tool.
The longer-term competitive question shifts from model access alone to who controls the team workspace where agents are created, shared, and embedded in routine work.
The trend: This is part of the shift from standalone AI assistants and coding agents toward shared, general-purpose agentic workspaces inside enterprise collaboration products.
This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have access to any of the tools and data you want to work with, with complete coding and tool use available to them. Here's an example of…
We just shipped an important new primitive: Agents with their own identities, that live in the cloud and work in your tools. Just like human teammates! Under the hood, Workspace Agents are running a fully-powered Codex coding agent.
Build workspace agents for your team, on top of a cloud-hosted Codex harness. Hook them up to tools, give them recurring tasks, and talk to them from surfaces like Slack. Easier than ever to bring the power of agents to your computer work.
OpenAI just released a new open-source model it's “a bidirectional token-classification model for personally identifiable information (PII) detection and masking in text” https://github.com/... https://huggingface.co/... [image]
Accuracy is really high, though not 100%. The highlight for me is the multi-linguality, for such a tiny model, it performs incredible on other languages! [image]
This is a genuinely great contribution to open source AI. It also proves a point: local vs. hosted isn't black & white, it's a spectrum. Small, useful models running locally — there will be a lot more of these, and it's only going to accelerate.
I left @GoogleDeepMind a few months ago and joined the amazing privacy team at @OpenAI. Really proud that the first project I got to contribute to was open-sourced!!
SHIPPED: My first release at @OpenAI with a ton of work from an awesome team: a privacy filter model that is small enough it can run in the browser while also pushing the frontier in the space. …