Tenex: Terminal multiplexer for AI coding agents (github.com)

Tenex has launched as a powerful terminal multiplexer designed for managing multiple AI coding agents simultaneously, optimizing workflows for tasks like research, planning, or code reviews. Each AI agent operates in its own isolated Git worktree and branch, enabling parallel execution without interference. Users can spawn agent swarms with a single keystroke, aggregate outputs into parent agents, and view changes in real-time, significantly streamlining collaborative coding efforts. The significance of Tenex lies in its ability to enhance productivity for developers and researchers in the AI/ML community. By allowing teams to coordinate and synthesize insights from multiple agents efficiently, it minimizes the cognitive load associated with switching between tasks. Key features, such as live previews, Git operations integration, and the ability to persist agent state across sessions, make it a robust tool for advanced collaborative coding. Developers can easily push updates, open pull requests, and manage merging conflicts through a terminal user interface, driving faster iteration cycles in AI development projects.