What do you want to do?
3 use cases
-
Add parallel graph runs to Hermes Agent with /dag-ulw
Install OMH and type /dag-ulw so a goal becomes a graph of small nodes that run in parallel.
- REPO
rlaope/oh-my-hermes - Software and DevOps
- Intermediate
View prompt
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.
- REPO
-
Choose which model handles each kind of work
Use omh model to set the model chain and reasoning effort for categories like ultrabrain, deep and quick.
View prompt
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.
-
Rename Python symbols correctly with language server tools
Enable OMH's opt-in lsp_tools so renames use the language server instead of text search.
- REPO
rlaope/oh-my-hermes - Software and DevOps
- Intermediate
View prompt
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.
- REPO
Quick start with Oh My Hermes
- Check you have what it needs: Hermes Agent installed; macOS or Linux (install script) or Windows PowerShell 5.1+; Accounts or keys for the model providers you want in each lane.
- Open rlaope/oh-my-hermes on GitHub and read the README and license.
- Install with
curl -fsSL https://raw.githubusercontent.com/rlaope/oh-my-hermes/main/install.sh | sh - Run
omh setup - In Hermes type /dag-ulw followed by your goal
- Read the report's stage labels: Plan not run, Code reported done, Test verified
These steps come from our top use case, Add parallel graph runs to Hermes Agent with /dag-ulw, which also has a copy-paste agent prompt.
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Get them freeAbout this repo
- Who it is forHermes Agent users who want parallel, model-routed runs and a clear record of what was really verified.
- Why it is hot4.7k stars, talked about in 3 AI sources we track
- LanguagePython
- Sourcegithub.com/rlaope/oh-my-hermes ยท Back to Hot repos
Requirements
- Hermes Agent installed
- macOS or Linux (install script) or Windows PowerShell 5.1+
- Accounts or keys for the model providers you want in each lane
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Questions about Oh My Hermes
What is 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. It is an open-source project on GitHub: https://github.com/rlaope/oh-my-hermes.
How do I use Oh My Hermes?
Install with curl -fsSL https://raw.githubusercontent.com/rlaope/oh-my-hermes/main/install.sh | sh; then run omh setup; in Hermes type /dag-ulw followed by your goal. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Oh My Hermes for?
Hermes Agent users who want parallel, model-routed runs and a clear record of what was really verified.
What can I do with Oh My Hermes?
3 use cases so far, for example: Add parallel graph runs to Hermes Agent with /dag-ulw; Choose which model handles each kind of work; Rename Python symbols correctly with language server tools. Each has steps and a copy-paste agent prompt.
What do I need to run Oh My Hermes?
Hermes Agent installed; macOS or Linux (install script) or Windows PowerShell 5.1+; Accounts or keys for the model providers you want in each lane.
What are alternatives to Oh My Hermes?
Other hot AI repos in Software and DevOps: Deep Infer, Thinkrail, ECC, Instructor, Aider.
Is Oh My Hermes safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.