Anthropic has introduced a research preview of Claude Tag, a persistent AI assistant integrated into Slack that functions as a collaborative team member. This new feature allows users to tag @Claude to gain insights during conversations and assign tasks. It will initially be available as a research preview for Claude Enterprise and Claude Team customers through Slack.

Claude Tag builds upon existing integrations. Users could already direct message @Claude in Slack or mention it in channels for on-demand assistance, and Claude Code in Slack could route coding requests from channel mentions to full coding sessions on the web, posting updates back into the thread. However, Claude Tag introduces a layer of persistent context and memory that was difficult to achieve with previous tools. As Anthropic explains, "As Claude follows along with its channel, it learns ever more about the work. Claude can also automatically gather facts from elsewhere in the organization, if it’s granted permission to read other channels."

EMBED_PLACEHOLDER_0

With Claude Tag, everyone in a given Slack channel can interact with 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 control which tools, information, and channels Claude can access, ensuring each Claude identity remains scoped to designated channels. For instance, a Claude set up for legal work cannot transfer memories into the engineering channel. When assigned a specific task, Claude Tag breaks it down into stages and works through them using available tools, responding in a Slack thread with its output. Additionally, Claude Tag features an ambient mode that proactively engages in conversations to keep the team updated, flag information from across the organization, and follow up on forgotten threads or tasks. Anthropic notes that this creates the feeling of "working with a real colleague - one that can produce work in public view, with far greater context and understanding than before."

This emphasis on context is becoming increasingly important for enterprise deployments, and Anthropic is not alone in focusing on it. Microsoft has Graph, which is expressed through Copilot and Work IQ. Snowflake and Databricks are positioning their platforms as 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 enterprise data.