We’ve long been frustrated that, despite being insanely powerful, AI agents need a lot of handholding to arrive at a robust solution to the task you give it. Ralph Wiggum agents is the naive solution to this, but we’ve found that the need for this handholding completely disappears when independent review agents are tasked with validating the agents’ work.

So we build this open source tool on top of Claude code (will extend to other AIs soon!) that spawns a cluster of agents that operate together. They all have different roles, and can be triggered by different events. The framework is completely flexible and you can define any cluster configuration and collaboration structure among the agents that you want. However, the defaults should be quite powerful for most software dev.

By default, There’s also a routing agent (the conductor) tasked with classifying the task and deciding the optimal cluster for solving it. The clusters then usually accomplish the task to completion without any shortcuts, and key to this are the dedicated planning agents and independent review agents with separate mendates and veto power.

It’s easy to install and works out of the box with Claude code! Feel free to make issues if there you have improvement ideas or feature requests - we iterate very fast!