Cool to see more people building in this space. I built something similar called Ashlr AO (https://ashlrao.com) — also uses tmux session isolation under the hood, but focused more on the real-time monitoring and fleet management side: live terminal output with ANSI rendering, automatic status detection (working/waiting/error), file conflict warnings when two agents touch the same file, and an optional intelligence layer for fleet-wide analysis.
One thing I've found building in this space: the DAG-based task decomposition (which Astro does well) and the runtime orchestration layer (spawning, monitoring, coordinating live agents) are actually two complementary problems. Most tools do one or the other — Astro focuses on the planning/decomposition side, while tools like mine focus on the "mission control" side of watching 5-10 agents run simultaneously.
The biggest unsolved challenge IMO is the feedback loop: when Agent A modifies a file that Agent B is also working on, how do you handle that gracefully? We detect it and warn, but actually resolving the conflict automatically is still an open problem.
I'm actually selling Ashlr AO ($9,500) if anyone here is interested in a production-ready version of this concept — 22 modules, 2,700+ tests, desktop app, PyPI package. Details: https://ashlrao.com or email mason@ashlr.ai
One thing I've found building in this space: the DAG-based task decomposition (which Astro does well) and the runtime orchestration layer (spawning, monitoring, coordinating live agents) are actually two complementary problems. Most tools do one or the other — Astro focuses on the planning/decomposition side, while tools like mine focus on the "mission control" side of watching 5-10 agents run simultaneously.
The biggest unsolved challenge IMO is the feedback loop: when Agent A modifies a file that Agent B is also working on, how do you handle that gracefully? We detect it and warn, but actually resolving the conflict automatically is still an open problem.
I'm actually selling Ashlr AO ($9,500) if anyone here is interested in a production-ready version of this concept — 22 modules, 2,700+ tests, desktop app, PyPI package. Details: https://ashlrao.com or email mason@ashlr.ai