How to Run Hermes Agent FREE Forever!

How to Run Hermes Agent FREE Forever!

4 Free Ways to Use Hermes Agent (News Portal, OpenRouter, Local Models, OAuth)The script explains four ways to use Hermes Agent for free and ranks the options, highlighting how to switch models and manage setups. It covers using free models that appear on News Portal, connecting Hermes to OpenRouter with a free API key and selecting free models (with a preference for models like Gemma 4 or Owl Alpha), and running local models via Ollama or LM Studio (including pulling models like Ornif and choosing hardware-appropriate options). It also shows how to create separate Hermes profiles and use “Blank Slate” to reduce tool usage and token consumption. The fourth method is OAuth, letting existing subscriptions (e.g., ChatGPT/OpenAI or Groq via Twitter) work in Hermes without extra cost. The video argues this approach improves privacy, flexibility, and cost control, and it promotes the creator’s AI Profit Boarding community and Agent OS setup.00:00 Free Models Overview00:18 News Portal Picks01:09 OpenRouter Free APIs02:42 Profiles and Agent OS03:35 Run Local Models05:09 Create Lean Profiles06:34 OAuth With Subscriptions07:38 Cut Tokens and Stay Private08:43 Agent OS Features Tour09:45 Community and Wrap Up

Hermes Agent OS: Mixture of Agents + Hermes Oracle + Obsidian!

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 Intro00:41 Council Engine Explained03:53 Leaderboard Results04:38 Showcase Game Outputs05:44 Fusion Comparison06:32 Opus Side By Side09:20 Stop Chasing Models10:08 Agent OS Workflow Demo11:36 Get The Agent OS12:06 Why Systems Win14:34 Recap Key Lessons15:41 Join The Community16:31 Final Thanks

Ornith-1.0 is INSANE (FREE + Local + Open Source)!

Ornif 1.0: Free Self-Learning Local Coding Model (Runs on Ollama + Works with Hermes Agents)The video tests Ornif 1.0, a new free self-learning local open coding model from Deep Reinforce, showing benchmark comparisons where it outperforms models like Gemma 4 31B and even compares well against larger flagship options. The model can be downloaded via Ollama with a simple command and is integrated into the creator’s agent operating system, including Hermes profiles for agentic workflows. Ornif’s key idea is “self-scaffolding”: it writes its own plans/instructions, generates multiple solution rollouts, gets graded, and improves both planning and coding through reinforcement learning. The creator highlights a gallery of apps, games, tools, and visual outputs made with Ornif, plus local and frontier leaderboards, and demonstrates local offline systems like a Hermes engine, agent Kanban orchestration, and local chat, emphasizing local AI benefits like being free, private, fast, and improving.00:00 [https://www.youtube.com/watch?v=6VDFEMc-xUs] Meet Ornif 1.000:34 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=34s] Setup With Ollama00:45 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=45s] What Ornif Is01:04 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=64s] Real Build Examples01:51 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=111s] Benchmark Reality Check02:11 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=131s] Self Improving Framework03:02 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=182s] Reinforcement Learning Loop03:52 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=232s] Self Scaffolding Explained05:31 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=331s] Local Leaderboards Demos06:21 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=381s] Agent OS Integrations07:32 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=452s] Model Comparisons Use Cases08:05 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=485s] Join The Community09:05 [https://www.youtube.com/watch?v=6VDFEMc-xUs&t=545s] Final Thanks

Hermes Mixture of Agents DESTROYS Claude?

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 [https://www.youtube.com/watch?v=mNTbhYOANrE] Hermes Mixture Intro00:41 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=41s] Council Engine Explained03:53 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=233s] Leaderboard Results04:38 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=278s] Showcase Game Outputs05:44 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=344s] Fusion Comparison06:32 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=392s] Opus Side By Side09:20 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=560s] Stop Chasing Models10:08 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=608s] Agent OS Workflow Demo11:36 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=696s] Get The Agent OS12:06 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=726s] Why Systems Win14:34 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=874s] Recap Key Lessons15:41 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=941s] Join The Community16:31 [https://www.youtube.com/watch?v=mNTbhYOANrE&t=991s] Final Thanks

Qwythos 9B is INSANE (FREE + Local + Open Source)!

Qwythos 9B on Ollama: A Free, Private Claude-Style Local Model (1M Context?)The video tests Qwythos 9B, a Claude-style creative reasoning model built on a Qwen 3.5 9B base and available on Ollama, showing how to install and run it locally on a Mac for free with no cloud or token costs. The creator wires it into their Agent OS local engine and demonstrates it building several small apps (to-do list, digital clock, Snake game, landing page, calculator), noting it can produce surprisingly solid designs but can also be glitchy or messy. While it advertises a one million token context window, the practical window depends on available RAM and Ollama settings, and it may cut off or load smaller than expected. They compare it with other local models like Qwikboss and Ornif 9B (with Ornif 1.0 seemingly outperforming) and promote the AI Profit Boardroom and Agent OS for running local models and agents.00:00 [https://www.youtube.com/watch?v=cCk2hMXCGug] Meet Qwythos 9B00:26 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=26s] Install via Ollama00:43 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=43s] Agent OS Integration01:39 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=99s] Apps Built Locally02:29 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=149s] Speed and Comparisons03:26 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=206s] Why It Works04:20 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=260s] Million Token Reality04:54 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=294s] Model Sizes and Quantization05:36 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=336s] Pros and Cons06:30 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=390s] Offline Wrap Up07:09 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=429s] Plug Into Any Agent07:40 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=460s] AI Profit Boardroom Pitch08:07 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=487s] Agent OS Feature Tour08:57 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=537s] Community and Coaching09:24 [https://www.youtube.com/watch?v=cCk2hMXCGug&t=564s] Final Thanks