I built this as an internal tool for my company and wasn't planning to open-source it. But I saw a post from Boris (who built Claude Code) describing his workflow, and two things jumped out: he runs multiple Claude Code sessions in parallel, and he spends extensive time discussing and planning with Claude before letting it touch any code — then lets it run. That's exactly how I work, so I figured maybe this tool is useful to someone else. The core idea: when you're running 3-5 Claude Code sessions across dev, prod, and local machines, your human brain can't track what's happening where. You kick off a task, get distracted, come back, and end up context-switching to whatever Claude finished first rather than what's highest priority. Executive gives you a single dashboard showing every session, its status, its priority, and plays a chime when something completes. The key feature is autopilot mode — once you've thoroughly planned an approach with Claude (and this planning phase is where the real work happens), you flip a switch and it auto-approves all tool calls so Claude can run wild for 20+ minutes without interruption. You fully context-switch to the next session that needs your attention. (Yes, there are obvious security implications; the README has warnings.) The workflow philosophy is basically: let humans do what humans are good at (creativity, planning, decision-making, prioritization) and let AI do what it's good at (fast execution). I'm not interested in agents that run autonomously for 30 hours. I want tight human-AI collaboration where I'm making executive decisions across multiple parallel workstreams and maintaining the kind of deep focus you used to get when writing code by hand — except now you're shipping multiple features in hours instead of days. No commercial ambitions here — most people aren't working this way yet, and the tool is pretty opinionated about workflow. Just sharing in case it clicks for someone. Built with Claude Code hooks (shell scripts at lifecycle events), SSE for real-time updates, no dependencies. Local and cloud (multi-machine) variants included.