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Multi-agent orchestration suite for Hermes — deep-research, deep-interview, ralph (execute→verify→iterate), triage, autopilot
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
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Semantic memory plugin — adds pgvector vector search to Hermes's built-in FTS5 memory. Fully local via Ollama, no API keys needed.
Multi-agent shared memory in an open engram format — enables portable shared context across multiple Hermes instances
Plugin that compresses terminal output via RTK before it reaches LLM context — 60-90% token reduction on shell commands, zero config
| name | hermes-oh-my |
| description | Multi-agent orchestration suite for Hermes — deep-research, deep-interview, ralph (execute→verify→iterate), triage, autopilot |
| category | hermes |
| version | 1.0.0 |
| author | witt3rd |
| source | https://github.com/witt3rd/oh-my-hermes |
| tags | ["multi-agent","orchestration","research","automation","hermes"] |
| platforms | ["linux","macos","windows"] |
Multi-agent orchestration skills for Hermes Agent, inspired by oh-my-claudecode and rebuilt on Hermes primitives.
git clone https://github.com/witt3rd/oh-my-hermes.git ~/.hermes/skills/hermes-oh-my
hermes skills config --enable hermes-oh-my
In Hermes session, load with:
/skill hermes-oh-my
Then invoke: /ralph "implement feature X" or /deep-research "topic Y"