Anthropic has introduced Claude Tag in research preview, an "always-on Claude" that lives in Slack and functions as an AI teammate. Starting in research preview, this feature allows users to tag @Claude for insights in chats and assign tasks. It will be available through Slack for Claude Enterprise and Claude Team customers.
Claude Tag represents an evolution of several existing integrations. Users could already DM @Claude within Slack or tag it in channels for on-demand help. Additionally, Claude Code in Slack routes coding tasks from channel mentions to full coding sessions on the web, posting updates back into the thread.
However, Claude Tag adds a layer of persistent context and memory that previous tools could not maintain. "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. This means "anyone can see what Claude has been working on, and can pick up the conversation from where the last person left off." System administrators specify which tools, information, and channels Claude can access. Each Claude identity remains scoped to the channels defined by admins, ensuring that a Claude set up for legal work cannot seed memories into the engineering channel, for instance.
When assigned a specific task, Claude Tag breaks it down into stages and works through them using its available tools, responding in a Slack thread with its results. However, Claude Tag also features an ambient mode that proactively jumps into the chat to keep teams updated, flag information from across the organization, and follow up on forgotten threads or tasks.
Anthropic says this makes the experience feel like "working with a real colleague — one that can produce work in public view, with far greater context and understanding than before."
This context is becoming increasingly critical for enterprise deployments, and Anthropic is not alone in focusing on it. Microsoft has Graph, 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.
via TechCrunch AI