@PrajwalTomar_: Hermes Agent just shipped the most interesting feature I've seen in a while. It combines multiple AI models into one an…

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Hermes Agent ships 'Mixture of Agents', a feature that runs multiple frontier AI models in parallel and aggregates their outputs, reportedly outperforming individual models like Opus 4.8 and GPT 5.5 on internal benchmarks.

Hermes Agent just shipped the most interesting feature I've seen in a while. It combines multiple AI models into one answer that beats any of them alone. It's called Mixture of Agents. Instead of sending your task to one model, it runs two or three frontier models in parallel and has an aggregator combine them into the final answer. One response, backed by several models cross-checking each other. Nous says it scores 8% higher than Opus 4.8 and 11% higher than GPT 5.5 on their own upcoming benchmark. You pick it from the model dropdown like any model, and toggle it mid-task with /moa. The honest catch: it costs more tokens, so I plan to use it for the 10% of work where quality really matters, like architecture calls and code review. I run Hermes across all 5 of my businesses, and this drops right into the setup I already use. I wrote the full breakdown of my setup and how I run Hermes as a team of agents. If you want the foundation this plugs into, read it and bookmark it.
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Cached at: 06/28/26, 01:54 AM

Hermes Agent just shipped the most interesting feature I’ve seen in a while. It combines multiple AI models into one answer that beats any of them alone.

It’s called Mixture of Agents. Instead of sending your task to one model, it runs two or three frontier models in parallel and has an aggregator combine them into the final answer. One response, backed by several models cross-checking each other.

Nous says it scores 8% higher than Opus 4.8 and 11% higher than GPT 5.5 on their own upcoming benchmark. You pick it from the model dropdown like any model, and toggle it mid-task with /moa.

The honest catch: it costs more tokens, so I plan to use it for the 10% of work where quality really matters, like architecture calls and code review.

I run Hermes across all 5 of my businesses, and this drops right into the setup I already use.

I wrote the full breakdown of my setup and how I run Hermes as a team of agents. If you want the foundation this plugs into, read it and bookmark it.

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@PrajwalTomar_: https://x.com/PrajwalTomar_/status/2064324584254710262

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Hermes Agent by Nous Research is an open-source autonomous AI agent that runs persistently on a server, remembers every conversation across sessions, and autonomously creates skill files, making it a fundamentally different category of agent compared to session-based coding tools like Claude Code and Cursor.

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Hermes Agent is an open-source, self-improving AI agent framework by Nous Research featuring a closed learning loop, cross-platform deployment, and compatibility with hundreds of LLMs. It provides a terminal interface, persistent memory, automated scheduling, and research-ready tooling for scaling AI workflows.