Hermes Agent v0.18 “Judgment” Update: Mixture of Agents, /goal Loops, /learn Skills + Proof-of-WorkThis episode breaks down the Hermes Agent v0.18 “Judgment” release and demonstrates key additions, especially the new Mixture of Agents system that fuses outputs from multiple models (e.g., Claude Opus 4.8 and GPT 5.5) to improve quality, with results shown on Goldie Bench and described as a one-shot workflow that can take 10–15 minutes per run. It covers improved /goal “goal mode” with a judge-driven loop that verifies work against a definition of done, plus proof-of-work for coding by running project checks instead of accepting “done” claims. The script also highlights /learn for turning guides or repos into reusable skills, /journey for a timeline of what Hermes has learned, background fan-out for asynchronous sub-agents, three ways to update Hermes, and how these features are organized inside the creator’s Agent OS and AI Profit Boardroom system.00:00 Hermes V0.18 Overview00:25 Mixture Of Agents01:34 Benchmarks And Tradeoffs02:58 Goal Mode Looping04:15 Why Use Agent OS05:01 Learn And Journey06:30 Updating And Fan Out07:50 Delegating Sub Agents09:15 Proof Of Work10:00 Boardroom Systems Tour11:06 Community And Training12:21 Final Call To Action