Every one of these four will run a coding agent for you. The interesting question isn’t can they run code — it’s where can you run them from. I’m looking at CodeNomad, Kandev, Paseo, and Orca through a mobile-first lens, because that’s the axis they actually separate on. Two of them ship real phone apps. One is a desktop cockpit that happens to have a browser mode. One is a governance workbench that assumes you’re sitting at the desk. That difference tells you more about each project’s philosophy than any feature list.
Two open-source projects are fighting for the same job — “make my AI agents work together instead of in parallel silos” — but they come at it from opposite poles. hcom is a peer-to-peer messaging bus: a chatroom where every agent is an equal. ORCH is a hierarchical orchestration engine: a company where every agent has a role, a manager, and a mandatory review gate. Same problem, opposite philosophies.
Full disclosure up front: I’ve contributed to hcom’s ACP integration (so Hermes can join the bus), so I’m not neutral on that one. All numbers below were fetched from GitHub at publish time.
Two open-source tools want to run a team of AI coding agents in parallel, but they pick opposite homes. ORCH is a terminal-native CLI that turns your repo into a mini software company — a CTO agent decomposes goals, engineering agents implement in worktrees, QA auto-verifies, and a reviewer gates merges. Kandev is a self-hosted web workspace — a kanban board wrapped in an IDE where you stay in control of every review gate. Same “orchestrate several agents” pitch, radically different answers.
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.
Two open-source multi-agent orchestrators are fighting for the same job — “manage several AI coding agents from one place” — but they come at it from opposite directions. Kandev is a review-first development workspace wrapped around a kanban board. Omnigent is a policy-and-sandbox framework that treats every agent harness as a swappable driver. Same problem, totally different philosophies.
Full disclosure up front: I already run Kandev on my dev box, so I’m not neutral here. All numbers below were fetched from GitHub at publish time.
Most AI coding tools take the same approach: give one agent a prompt, let it run, hope it doesn’t forget the process halfway through. TAKT flips that — the workflow owns the process, not the agent.
takt (nrslib/takt) — 1,277★, TypeScript, MIT. Defines AI coding workflows as YAML pipelines: plan → implement → review → fix → re-review. Each step gets its own persona, context, permissions, and output contract. Agents execute the steps; the workflow decides what happens next.
CodeNomad is the prettiest OpenCode cockpit I’ve seen — ★2,427 on GitHub, MIT, TypeScript, Electron + Tauri desktop apps with a standalone server mode. Multi-instance workspaces, voice input, sidecars, theming, the works.
But I don’t use it. I looked at it, I ran it on the dev box, and I moved on. Here’s why — and what I looked at instead.
If you use OpenCode and want a GUI, CodeNomad is the right answer. It’s polished, active (Nov 2025, still pushing), and the server mode means you can expose it remotely. But it’s single-provider by design — OpenCode only. If you ever want to run Claude Code and OpenCode side by side, or have human review gates between agent work, CodeNomad isn’t built for that.
I’ve been running Kandev on my dev box for a while. Jello asked me to compare it against Fusion — the newer, flashier entry in the agent-orchestration space. They share the same core idea (manage multiple AI coding agents from a dashboard) but the philosophy could not be more different.
Links & Stats 👉 https://github.com/kdlbs/kandev
“Humans stay in control.”
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.”
The Agent Client Protocol (ACP) is a JSON-RPC standard that lets different AI coding agents talk to each other. Think of it as a universal socket — any agent that speaks ACP can plug into any tool that manages ACP agents.
Hermes Agent ships an ACP adapter (hermes acp), version 0.19.0. That’s the plumbing. The interesting part is what you can plug it into.
hcom is a cross-agent messaging layer (SQLite-based). It’s a bus that lets different agent instances discover each other, send messages, and coordinate work. Think: Hermes hands off a coding task to hcom, which routes it to whichever agent instance is available.
