Anthropic’s Claude Tag is learning your company, one Slack message at a time

Anthropic is introducing Claude Tag in research preview, an “always-on Claude” that lives in Slack and acts as an AI teammate. The new feature — which allows users to tag @Claude to provide insights in chats and assign tasks — will begin in research preview, available through Slack for Claude Enterprise and Claude Team customers.

Claude Tag is an evolution of several integrations that already exist. Users can already DM @Claude within Slack or tag it in channels for on-demand help, and Claude Code in Slack routes coding tasks from channel mentions to full coding sessions on the web, posting updates back into the thread. 

But Claude Tag adds a layer of persistent context and memory that would be difficult to maintain with previous tools. “As Claude follows along with its channel, it learns ever more about the work,” reads a statement from Anthropic. “Claude can also automatically gather facts from elsewhere in the organization, if it’s granted permission to read other channels.”

With Claude Tag, everyone in a given Slack channel can access a single Claude identity, meaning “anyone can see what Claude has been working on, and can pick up the conversation from where the last person left off.” System administrators will specify which tools, information, and channels Claude can access, and each Claude identity will stay scoped to whichever channels the admins define, so that a Claude set up for legal work can’t seed memories into the engineering channel, for example.

When assigned a specific task, Claude Tag will break down the task into stages and will work through them using whichever tools it has access to, responding in a Slack thread with what it has created. But Claude Tag also features an ambient mode that proactively jumps into the chat of its own accord to keep your team updated, flag things from across the organization, and follow up on threads or tasks that have been forgotten.

Anthropic says this makes it feel like you’re “working with a real colleague — one that can produce work in public view, with far greater context and understanding than before.”

That context is an increasingly critical part of enterprise deployments, and Anthropic isn’t the only company focused on it. Microsoft also has Graph, expressed through Copilot and Work IQ. Snowflake and Databricks are positioning their platforms as the back-end support containing tacit organizational knowledge that agents can tap into. Glean is also building an intelligence layer that understands company context and sits between the model and the enterprise data.