Product Launch
Anthropic launches Claude Tag on Slack for team-wide AI collaboration
Anthropic's Claude Tag brings proactive, context-aware AI collaboration to Slack. Teams can tag @Claude in channels and assign tasks ranging from code generation to data analysis. The tool builds shared memory, works asynchronously, and can take initiative, with 65% of Anthropic's product team code now created by the internal version.

Anthropic rolled out Claude Tag today, a new feature that drops its Claude AI model straight into Slack channels, turning it into a persistent, multiplayer teammate. The tool is now in beta for Claude Enterprise and Team customers, and it signals the company’s push to make AI agents more proactive and deeply embedded in everyday workflows.
With Claude Tag, users can type @Claude in a Slack channel and hand off tasks like writing code, crunching product metrics, triaging support tickets, or tracking down bugs. The model breaks down complex requests into stages, works through them using connected tools and data sources, and then posts results back in the thread. Unlike one-off AI sessions, Claude Tag keeps context across a channel, so multiple team members can build on each other’s exchanges with the model.
The company’s own product team has already made heavy use of the pattern. “Today, 65% of our product team’s code is created by our internal version of Claude Tag,” Anthropic said. The use case has spread beyond engineering to include chasing product metrics, handling support tickets, and root cause analysis of bugs.
Anthropic designed the feature to feel more like a colleague than a tool. Within a given Slack channel, a single instance of Claude interacts with everyone, meaning any team member can see what it’s working on and pick up where another left off. It also learns over time by following channel conversations and building context automatically, cutting the need to re-explain tasks. If administrators turn on “ambient” behavior, Claude can proactively flag relevant information, follow up on unresolved threads, and keep users updated without needing a prompt.
Asynchronous work is another key advantage: users can assign a task to Claude and move on to other priorities while the model works autonomously, sometimes over hours or days. Claude can also schedule tasks for itself, supporting longer-running projects. For private queries, users can send Claude direct messages that use personal tools and connectors.
The new feature replaces the existing Claude in Slack app, and administrators have 30 days to opt in and migrate. Setting up Claude Tag involves pairing it with a Slack workspace, granting access to tools, setting a monthly spending limit, and testing in a private channel. Anthropic stresses tight control over access to sensitive data: system administrators can specify which tools and information the model can access in which channels, and memories remain scoped to those channels, preventing cross-departmental data leakage. For example, a model set up for sales work won’t pass memories to one set up for engineering, nor will it expose sales data or tools to engineers.
Administrators can also set token spend limits for the entire organization and for individual channels, and they can view a complete log of every action taken by @Claude, along with who requested each task. The model runs on Opus 4.8, Anthropic’s most capable model.
Anthropic is positioning Claude Tag as the next step for its Claude Code product. “We see Claude Tag as the beginning of an evolution of Claude Code: it makes the model even more proactive, and it works better with a full team,” the company said. A launch credit announced for eligible Enterprise and Team organizations is meant to encourage broad testing across companies.
Claude Tag is available immediately in beta for Claude Enterprise and Team customers. Anthropic has indicated plans to expand the feature to other collaboration platforms beyond Slack in the future.