I wrote this survey for work. The goal wasn’t to win a tool-bake-off or prove a pet stack was superior — it was to answer one honest question: how do the people I build with actually spend their days with AI?
Every section maps to a layer of the modern dev toolchain. If you’re assessing a team’s workflow, onboarding new people, or just want to see where you sit relative to your peers, steal it. It’s licensed by the human copyright office of “you can just use this.”
The ecosystem has a real whiff of 2015’s microservices gold rush about it. A new “agent orchestrator” ships every week, each one claiming to be the control plane you’ve been waiting for, and almost all of them solve a problem that three other tools already solved last month. andyrewlee/awesome-agent-orchestrators is a genuinely good map of the chaos — 200+ projects, curated with real editorial taste, and organized not by star count but by the job each tool does. That last part is rarer than it should be.
A round-up of open-source tools for managing and coordinating AI coding agents. Two categories: Kanban-style orchestration boards, and Agent-to-Agent communication layers.
Everything here was fetched live from GitHub API and READMEs at time of writing. Star counts are snapshots.
These range from traditional visual task boards to full-blown multi-agent orchestration environments.
veritas-kanban is a lightweight orchestration harness. Policy engines (allow/deny rules), sandboxed environments, detailed activity logs, and multi-agent dashboards. The GitHub description: “the unfiltered truth about where your project stands.”
