rlaope/oh-my-hermes

Health v2 · maintenance only

Flags: young

Adoption not part of the score

1166 stars · 114 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

oh-my-hermes (OMH) is an installable enhancement layer for the Hermes Agent that adds planning, research, coding handoffs, agentic memory, subagents, and model routing on top of the existing agent runtime. It ships 103 skills and 9 workflows, routes work to coding executors like Claude Code or Codex, and keeps evidence boundaries without patching Hermes itself.

Use cases

• add structured workflows and skills to hermes agent
• route ai coding tasks to claude code or codex with prepared handoffs
• set up per-task model routing across multiple llm providers
• give my ai agent persistent project memory
• orchestrate planning research and coding handoffs in a terminal agent
• install agent skills with a single setup command
• run multi-model agent workflows locally

When to choose

• you already use Hermes Agent and want a stronger operating layer without replacing it
• you want vendor-neutral routing across coding executors like Claude Code, Codex, or pi
• you want editable model chains per kind of work with graceful fallback
• you want local contracts and explicit evidence boundaries for agent runs

When to avoid

• you don't use Hermes Agent and aren't willing to install it as the host runtime
• you need a standalone agent framework rather than an enhancement layer for a specific host
• you need a hosted or cloud-managed agent orchestration service

Facets

plugin · maturity active

agent-framework prompt-engineering workflow-automation developer-tools cli large-language-models developer-tools windows cli python hermes-agent claude-code codex agent-skills agentic-memory model-routing subagents ai-workflows ai-agents automation macos linux

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markdown · JSON · MCP: product_card(name="rlaope/oh-my-hermes")