Hermes Mixture of Agents is ABSURD!

Hermes Mixture of Agents (MOA): Combine Claude + GPT with an Aggregator to Beat Frontier ModelsThe script explains Hermes’ Mixture of Agents system, which lets you combine multiple models (e.g., Claude Opus 4.8 and GPT-5.5) into a panel and choose an “aggregator” model to fuse their outputs, treating the mix as one virtual model. The presenter demos results like generating a Windows-style OS and building games, showing side-by-side comparisons where the mixture outperforms a single model, and notes they tested 42 builds viewable on Goldie Bench. It describes how MOA 2.0 works under the hood (private analysis by models, then an aggregator writes the final answer and runs tools), switching mixes with /MOA, and claims of benchmark gains (8% over Opus 4.8, 11% over GPT-5.5). Downsides include slower runtime, API reliance, and technical setup, which they simplify via their Agent OS dashboard, also featuring Fusion and Sakana-style panels, automations, memory, and access via their paid community with tutorials and coaching.00:00 Mixture of Agents Intro00:33 How the Panel Works01:27 Bench Tests and Demos02:13 Side by Side Game Results03:23 Tradeoffs and Limitations04:02 Making MOA Easy to Use04:45 MOA 2.0 Explained05:28 Fusion and the Bigger Trend06:34 Stop Chasing Models07:10 Three Systems and Why They Win07:37 How to Use It Today08:19 Agent OS and Community Pitch09:50 Wrap Up and Goodbye