Anthropic launches Claude Tag: An AI agent that becomes a full-fledged member of your team in Slack
The market for corporate AI solutions continues to evolve rapidly. Anthropic has introduced the Claude Tag tool—a specialized AI agent for integration into Slack. This service transforms the neural network from a passive assistant into an active participant in work channels, capable of independently performing complex tasks.
The mechanics of operation are maximally simple and elegant: simply mention the model via @Claude, and it breaks down the task into logical stages, executing them in the background. Claude Tag has access to connected databases, program code, and third-party applications, making it a versatile tool for development, analytics, and support teams.
Key Features of Claude Tag
The tool stands out from its counterparts with four important features. First, there is multi-user mode: all channel participants see the AI's actions and can pick up a dialogue started by a colleague. Second, context accumulation—the neural network remembers details of discussions, saving the team from repeated explanations. Third, proactivity: when background mode is activated, the AI independently informs about important updates and reminds about unresolved tasks. And finally, autonomy: the model can plan and execute long-term projects spanning several days.
Within Anthropic itself, Claude Tag is already demonstrating impressive results—it accounts for 65% of all software code created. Beyond development, the tool is actively used for analyzing metrics and processing support tickets.
Administrators get flexible security settings: they can restrict the neural network's access to confidential data and set limits on token usage. The service runs on the Opus 4.8 model and is available in beta testing mode for users of Claude Enterprise and Team plans, fully replacing the standard Claude application for Slack.
Expert opinion: Claude Tag is not just another plugin, but a serious step toward autonomous AI agents in the corporate environment. The ability to execute long-term projects without constant human oversight fundamentally changes the approach to task distribution within a team. However, the key challenge will remain the balance between AI autonomy and administrator control, especially in security-sensitive industries.