GitHub – msitarzewski/agency-agents: A complete AI agency at your fingertips – From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.

The Agency feels like the kind of project that only shows its value once you’ve actually tried to coordinate real work across too many moving parts. A smart model can help, sure. But a smart model with no structure is still just a clever person wandering into a meeting without a job title.

You can explore it here: https://github.com/msitarzewski/agency-agents

This GitHub repo collects a complete AI agency, split into specialized agents with defined roles, personalities, and deliverables. There are frontend specialists, Reddit community operators, whimsy injectors, reality checkers, and plenty of other focused contributors. The idea is refreshingly practical, instead of asking one agent to do everything, you assemble a team that behaves more like a real agency, with clear boundaries and expectations.

That matters because most AI workflows fall apart at the handoff points. One prompt writes decent copy, another prompt tweaks the design, then someone else has to clean up the strategy. It gets messy fast. The Agency tries to reduce that friction by making each role explicit. You do not just get “an agent,” you get a specialist that knows what good looks like in its lane.

There’s also a quiet operational detail here that’s easy to miss. The project notes that OpenCode currently registers only about 119 agents and may silently drop the rest, so you can install only the divisions you need with –division. That’s the kind of constraint that feels small until you’ve spent an hour wondering why half your system isn’t showing up. Real systems live or die on these details.

The most useful part, in my view, is how this repo treats AI as an operating model, not a toy. It suggests a future where you don’t just prompt harder, you organize better. And honestly, that’s closer to how actual teams work anyway.

If you’re building with agents, this is worth a serious look. Not because it promises magic, but because it respects the boring parts that make work ship.