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Home » Anthropic’s Claude Tag learns about your company one Slack message at a time
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Anthropic’s Claude Tag learns about your company one Slack message at a time

Editor-In-ChiefBy Editor-In-ChiefJune 23, 2026No Comments3 Mins Read
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Anthropic is introducing Claude Tags, an “always-on Claude” that resides in Slack and acts as an AI teammate, in Research Preview. The new feature, which allows users to tag @Claude to provide insights and assign tasks in chat, starts with a 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 us in channels for on-demand help. Claude Code in Slack routes coding tasks from channel mentions to full coding sessions on the web, and posts updates to threads.

However, Claude Tag adds a layer of persistent context and memory that was difficult to maintain with previous tools. “As Claude follows the channel, he will learn more about the work,” Anthropic said in a statement. “Claude can also automatically gather facts from elsewhere in the organization if he is given permission to read other channels.”

Claude Tags give everyone in a particular Slack channel access to one Claude ID. This means “everyone can see what Claude is working on and pick up the conversation where the last person left off.” The system administrator specifies the tools, information, and channels that Claude can access. Also, each Claude’s identity is limited to the channels defined by the administrator, so for example, a Claude set up for legal work cannot seed memories into the Engineering channel.

When assigned a specific task, Claude Tag breaks it down into steps, works through those steps using the tools he has access to, and responds with his creations in a Slack thread. But Claude Tag also features an ambient mode where you can proactively participate in chats to keep your team updated, flag information from across your organization, and follow up on forgotten threads and tasks.

Anthropic says this makes it feel like “I’m working with real colleagues, colleagues who can produce work in public spaces with far greater context and understanding than before.”

This context is an increasingly important 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 position their platforms as backend support that includes tacit organizational knowledge available to agents. Glean also understands the enterprise context and builds an intelligence layer that sits between the model and the enterprise data.

If you buy through links in our articles, we may earn a small commission. This does not affect editorial independence.



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