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.
If you’re evaluating AI coding agents — Claude Code, OpenHands, Codex CLI, whatever — you’re probably doing it wrong. Running them against your own infra is dangerous. Running them manually is slow. Running them unrepeatably is pointless.
Harbor fixes that. It’s a framework from the creators of Terminal-Bench that lets you define sandboxed agent tasks, run evaluations against any agent/model combo, and scale across cloud providers.
Harbor wraps each agent task in an isolated environment (Docker locally, or Daytona/Modal/LangSmith/Novita Sandbox in the cloud). You specify:
Markdown is the lingua franca of documentation, but it’s static. You write ./deploy.sh, and six months later someone runs it in a terminal with different state and gets a different result. The code rots. The docs drift.
Three tools try to fix this by making Markdown executable, but they take very different approaches. Let me break them down.
“Jupyter notebooks, but for your ops runbooks.”
Two Go SSH tools landed within the last year, both hovering around the same star count, both solving very real pain points. But they’re almost entirely different tools that happen to share a protocol prefix.
Let’s break them down.
Links & Stats 👉 https://github.com/alebeck/boring
A dedicated SSH tunnel manager with a daemon architecture. You define tunnels in TOML, boring open starts them, and a background process keeps them alive with automatic reconnection and keepalives. Supports local, remote, and dynamic (SOCKS5) forwarding, works with your SSH config and ssh-agent, and handles Unix sockets.
I spent some time digging into the current landscape of tools for two related problems: visual task management for AI agents (kanban boards that understand agents) and agent-to-agent communication (how agents talk to each other).
Some of these I already run day-to-day. Others are new to me. Here’s what I found.
Links & Stats 👉 https://github.com/BradGroux/veritas-kanban
If you self-host anything, you’ve had the sinking feeling: I forgot what I deployed where. Two open-source projects promise to solve that, but they take radically different paths to get there.
Scanopy (5.2K★) is a Rust daemon + JS UI that auto-generates network topology diagrams — L2 physical maps, L3 logical subnets, workload container trees, and application dependency graphs. It launched ~10 months ago and is the new hotness.
NetAlertX (6.8K★) is a Python/PHP asset intelligence framework that’s been around since late 2021. It discovers devices, tracks changes, fires alerts via 80+ notification gateways, and integrates with Home Assistant, Prometheus, and arbitrary webhooks.
