# AI use cases for Oh My Hermes (rlaope/oh-my-hermes)

Repo: [rlaope/oh-my-hermes](https://github.com/rlaope/oh-my-hermes) | Use cases: 3 | Page: https://dedupedai.com/use-cases/rlaope-oh-my-hermes/

oh-my-hermes (OMH) is an operating layer for Nous Research's Hermes Agent. You keep talking to Hermes while OMH picks a skill and a model for each lane and runs the work in parallel, without patching Hermes. Its /dag-ulw command turns a goal into a graph of small nodes that run in parallel, with a separate node that verifies the goal before the report.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Add parallel graph runs to Hermes Agent with /dag-ulw: https://dedupedai.com/use-cases/rlaope-oh-my-hermes/add-parallel-graph-runs-to-hermes-agent/
- Choose which model handles each kind of work: https://dedupedai.com/use-cases/rlaope-oh-my-hermes/pick-a-model-chain-for-each-kind-of-work/
- Rename Python symbols correctly with language server tools: https://dedupedai.com/use-cases/rlaope-oh-my-hermes/turn-on-safe-python-renames-with-lsp-tools/

## How to add parallel graph runs to Hermes Agent with /dag-ulw with Oh My Hermes

Repo: [rlaope/oh-my-hermes](https://github.com/rlaope/oh-my-hermes) | Difficulty: Intermediate | Time: 20 minutes | Basis: From the README

Install OMH and type /dag-ulw so a goal becomes a graph of small nodes that run in parallel.

**Who it is for:** A Hermes user whose larger tasks run slowly as one long sequential session.

**The problem:** One long agent session does everything in order and often reports work as done that was never tested.

**The outcome:** A live lane tree showing each node's model, effort and tokens, and a report that marks what was verified.

### Steps

1. Install with `curl -fsSL https://raw.githubusercontent.com/rlaope/oh-my-hermes/main/install.sh | sh`
2. Run `omh setup`
3. In Hermes type /dag-ulw followed by your goal
4. Read the report's stage labels: Plan not run, Code reported done, Test verified

### Prompt to paste into your agent

```text
Install rlaope/oh-my-hermes for my Hermes Agent, run omh setup, then use /dag-ulw for <goal> and tell me which nodes were verified by a test, review or CI gate.
```

### Caveat

This card is written from the rlaope/oh-my-hermes README, not from a test run by Deduped. Before you start, make sure you have Hermes Agent installed. Check the repo for newer instructions before you rely on these steps.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/rlaope-oh-my-hermes/add-parallel-graph-runs-to-hermes-agent/

## How to choose which model handles each kind of work with Oh My Hermes

Repo: [rlaope/oh-my-hermes](https://github.com/rlaope/oh-my-hermes) | Difficulty: Beginner | Time: 15 minutes | Basis: From the README

Use omh model to set the model chain and reasoning effort for categories like ultrabrain, deep and quick.

**Who it is for:** A developer who wants cheap models on quick tasks and strong ones on hard reasoning.

**The problem:** Using one model for everything wastes money on easy steps and underpowers hard ones.

**The outcome:** Per category model chains that fall back to the next model when a provider rejects one.

### Steps

1. Run `omh model` to open the picker
2. Review the categories such as ultrabrain, deep, visual-engineering and quick
3. Edit each chain and its reasoning effort
4. Run a /dag-ulw goal and check which model ran each lane

### Prompt to paste into your agent

```text
Open omh model in rlaope/oh-my-hermes and set <cheap model> for quick lanes and <strong model> for ultrabrain and deep lanes, then run a small /dag-ulw goal to confirm the routing.
```

### Caveat

This card is written from the rlaope/oh-my-hermes README, not from a test run by Deduped. Before you start, make sure you have Hermes Agent installed. Check the repo for newer instructions before you rely on these steps.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/rlaope-oh-my-hermes/pick-a-model-chain-for-each-kind-of-work/

## How to rename Python symbols correctly with language server tools with Oh My Hermes

Repo: [rlaope/oh-my-hermes](https://github.com/rlaope/oh-my-hermes) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Enable OMH's opt-in lsp_tools so renames use the language server instead of text search.

**Who it is for:** A Python developer whose agent renames break aliases and re-exports.

**The problem:** Text search renames miss aliases, re-exports and shadowed names, and small models suffer most.

**The outcome:** Renames done through lsp_definition, lsp_references and lsp_rename, so every real use changes.

### Steps

1. Open the OMH plugin settings
2. Turn on lsp_tools (it is off by default)
3. Ask Hermes to rename a function or class across the project
4. Run your tests to confirm nothing broke

### Prompt to paste into your agent

```text
Enable lsp_tools in rlaope/oh-my-hermes, then rename <symbol> to <new name> across this Python project with lsp_rename and run the test suite.
```

### Caveat

This card is written from the rlaope/oh-my-hermes README, not from a test run by Deduped. Before you start, make sure you have Hermes Agent installed. Check the repo for newer instructions before you rely on these steps.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/rlaope-oh-my-hermes/turn-on-safe-python-renames-with-lsp-tools/