Anthropic Introduces Cross-Session Messaging for Claude Code
Anthropic has launched cross-session messaging for Claude Code, enabling independent AI coding sessions to communicate directly. The feature allows agents to share critical updates, warn about breaking code changes, and transmit solutions across different worktrees. This capability aims to improve coordination in parallel software development workflows without manual intervention from human developers.
Key points
- Anthropic, the artificial intelligence company behind the Claude model family, developed the cross-session messaging feature for its Claude Code tool.
- The functionality allows one Claude Code session to send text messages directly to another independent session, subagent, or team member.
- Claude utilizes two specific tools for this feature: ListAgents to discover reachable agents and SendMessage to deliver the content by name.
- Common use cases include handing over findings about breaking changes, coordinating parallel worktrees in the same repository, and checking the status of long-running tasks.
Anthropic has rolled out a new cross-session messaging feature for Claude Code, designed to allow independent artificial intelligence coding sessions to communicate directly with one another. According to the company, this update addresses the challenge of managing multiple concurrent AI workflows within software development environments.
Under the new system, Claude employs two dedicated tools—ListAgents and SendMessage—to discover reachable agents and transmit text-based notifications. This allows an AI agent in one session to warn another session about breaking changes, share newly discovered answers, or coordinate parallel worktrees operating on the same repository. Anthropic notes that the feature transmits text messages rather than full conversation histories or files, keeping interactions focused and efficient.
The update is intended to streamline multi-session development by reducing the need for human developers to manually relay information between different instances. By automating communication, teams running long tasks or parallel codebases can maintain synchronization as changes occur across different environments.
Sources
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