Anthropic introduces Claude Tag in the investigation 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 information 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 now direct message @Claude within Slack or tag him in channels for on-demand help, and Code Claude in Slack directs coding tasks from channel mentions to full coding sessions on the web, posting updates to 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 job,” reads a statement from Anthropic. “Claude can also automatically collect data from other parts of the organization, if 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 remain limited to the channels that administrators define, so that a Claude configured for legal work cannot seed memories in the engineering channel, for example.
When given a specific task, Claude Tag will break the task into stages and work on them using whatever tools he has access to, replying in a Slack thread with what he’s created. But Claude Tag also features an ambient mode that proactively jumps into chat on its own to keep your team up to date, flag things across the organization, and keep track of threads or tasks that have been forgotten.
Anthropic says this makes you feel like you’re “working with a real colleague, one who can produce work in the public eye, with much greater context and understanding than before.”
That context is an increasingly critical part of enterprise implementations, 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 that contains tacit organizational knowledge that agents can leverage. Glean is also building an intelligence layer that understands the context of the business and sits between the model and the business data.
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