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Hermes Mixture of Agents: Build a Model Council That Beats Single Frontier Models (Goldy Bench #2)
Hermes released Hermes Mixture of Agents, which the speaker integrates as a “Hermes Council Engine” tab inside their Agent OS to run a panel of frontier models (e.g., Opus 4.8 and GPT 5.5) that answer privately while a third “chair” model judges and fuses a better final response. They tested it across a 42-task leaderboard on Goldy Bench where Hermes Mixture of Agents ranks #2 overall, behind Fusion, and they show side-by-side examples versus Fusion and Claude Opus 4.8, claiming Hermes outputs are often less buggy and more usable. The episode argues to “stop chasing the model” and instead build swappable systems that squeeze more from existing models, and it promotes the Agent OS/AI Profit Boardroom bundle with the Mixture tab, Fusion and Sakana panels, shared memory dashboard, tutorials, coaching, and setup roadmap.
00:00 Hermes Mixture Intro
00:41 Council Engine Explained
03:53 Leaderboard Results
04:38 Showcase Game Outputs
05:44 Fusion Comparison
06:32 Opus Side By Side
09:20 Stop Chasing Models
10:08 Agent OS Workflow Demo
11:36 Get The Agent OS
12:06 Why Systems Win
14:34 Recap Key Lessons
15:41 Join The Community
16:31 Final Thanks
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