HermesFusion Multi-Model Panel

Skill by ara.so — Hermes Skills collection.

HermesFusion is a model-agnostic, provider-agnostic orchestration framework that runs consensus panels using multiple LLM backends. Inspired by OpenRouter's Fusion API, it lets you bring your own models (local via Ollama, cloud via OpenAI/Anthropic, or custom CLI agents) and run structured panels in two modes:

• HF Lite: 2 models in parallel → judge → synthesizer (~4 calls total)
• HF Heavy: 3 models in parallel → judge → synthesizer (~5 calls total)

Each panel member is just a configured shell command (hermes, ollama run, openai chat, or your own). No hosted middleware, no per-call markup. Use for code review, architecture decisions, security audits, or any task where you want multi-model consensus before shipping.

Installation

pip install hermesfusion

Or from source: