Anthropic introduces Claude Tag in the research preview, an “always-on Claude” who lives in Slack and acts as an AI teammate. The new feature – which allows users to tag @Claude to provide insight into 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 in Slack or tag it in channels for on-demand help, and Claude Code in Slack routes coding tasks from channel discussions to full coding sessions on the web, sending 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 his channel, he learns more and more about the work,” reads a statement from Anthropic. “Claude can also automatically gather facts from elsewhere in the organization if it is given permission to read other channels.”
With the 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 where the last person left off.” System administrators will specify which tools, information, and channels Claude can access, and each Claude identity will remain within the channels defined by the administrators, so a Claude set up for legal work, for example, cannot view memories in the engineering channel.
When assigned a specific task, Claude Tag will break the task down into phases and will work through them using the tools it has access to, responding in a Slack thread with what it has created. But Claude Tag also has an ambient mode that proactively jumps into the chat on its own 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 — someone who can produce work in the public eye, with far greater context and understanding than before.”
This context is an increasingly critical part of enterprise implementations, and Anthropic is not the only company focusing on it. Microsoft also has Graph, expressed through Copilot and Work IQ. Snowflake and Databricks position their platforms as the back-end support that contains tacit organizational knowledge that agents can tap into. Glean also builds an intelligence layer that understands the company’s context and sits between the model and the company’s data.
When you buy through links in our articles, we may earn a small commission. This does not affect our editorial independence.