Smuxv1.0.0

Teams use separate tmux panes for each AI agent (code generator, reviewer, tester). The smux skill allows the reviewer agent to read output from the generator and send review requests with --expect-reply, ensuring structured feedback without constant polling.

In a tmux session, a monitoring pane alerts an incident handler agent. The handler uses smux to read the alert, then dispatches tasks to diagnostic and remediation agent panes with --no-reply for immediate actions and --expect-reply for confirmation, reducing mean time to resolution.

Data scientists run multiple analysis scripts in separate panes. An orchestrator agent reads intermediate results via smux, sends transformation commands to worker panes, and collects final outputs using --expect-reply, creating an efficient pipeline without manual intervention.

Support agents operate in tmux panes: one for ticket intake, one for knowledge base lookup, and one for response drafting. A triage agent uses smux to read incoming tickets, send lookups with --expect-reply, and route draft responses, handling high volumes seamlessly.

Writers and editors share a tmux session with panes for drafting, fact-checking, and formatting. A coordinator agent uses smux to assign sections with --expect-reply and read progress, ensuring all contributors stay synchronized without interrupting each other.

Offer pre-configured tmux sessions with smux-enabled agents for automated workflows (e.g., code review, incident response). Charge per session or per workflow execution.

Integrate smux as a plugin for existing AI agent platforms (e.g., Copilot, custom LLM orchestrators). License the plugin to enterprises for enhanced multi-agent coordination.

Provide expert services to set up smux-based multi-agent environments for clients with specific automation needs. Tailor workflows, train teams, and provide ongoing support.