langgraph vs oh-my-hermes
langgraph is much bigger: 41.5k stars against 1.7k. Over the days we have tracked them langgraph moved +19.4% and oh-my-hermes +84.2%, so oh-my-hermes is growing faster right now.
oh-my-hermes leads on context depth and noise control and customization and privacy and model freedom. langgraph does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Provides low-level orchestration for long-running, stateful agents with durable execution and human-in-the-loop capabilities that typical stateless workflow engines do not emphasize.
- Stars
- 41.5k
- Tracked growth
- +19.4%
- Maturity
- ●●●●●
- Last commit
- 15h ago
- Language
- Python
- License
- MIT
- Cost to run
- Free, open-source
Provides a local-first operating layer for Hermes that enforces explicit evidence boundaries and verification gates while keeping executors and provider access observable.
- Stars
- 1.7k
- Tracked growth
- +84.2%
- Maturity
- ●●●●●
- Last commit
- 1h ago
- Language
- Python
- License
- MIT
- Cost to run
- Your API key, per-use
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | langgraph | oh-my-hermes |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Diff only | ●●●●● Diff + related files |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● None mentioned | ●●●●● Evidence gates |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● No config | ●●●●● Configurable workflows |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Third-party cloud | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Fixed provider | ●●●●● Bring your own key |
Setup ease What it takes to get a first useful run out of it. | ●●●●● One-command install | ●●●●● One-command setup |
Which one to pick
Pick langgraph if…
Durable execution — choose LangGraph when you need persistent, stateful agents with human-in-the-loop oversight and production deployment support.
Pick oh-my-hermes if…
Local-first control plane — pick OMH when you want an installable, evidence-first workflow catalog and gating layer for Hermes that keeps execution ownership explicit and configurable.
- Context depth: Diff + related files (3/5 against 1/5)
- Noise control: Evidence gates (4/5 against 1/5)
- Customization: Configurable workflows (4/5 against 1/5)
- Privacy: Self-hostable (4/5 against 1/5)
- Model freedom: Bring your own key (5/5 against 1/5)
What people want from each one
langchain-ai/langgraph
Hacker News: We chose LangGraph to build our coding agent drew 83 points and 20 comments.
Questions people ask
Is langgraph better than oh-my-hermes?
oh-my-hermes leads on context depth and noise control and customization and privacy and model freedom. langgraph does not take any axis by a clear margin. langgraph is worth picking when durable execution — choose LangGraph when you need persistent, stateful agents with human-in-the-loop oversight and production deployment support.
Which of langgraph and oh-my-hermes keeps my code private?
langgraph: Third-party cloud (1/5). oh-my-hermes: Self-hostable (4/5).
What does each one cost to run?
langgraph: Free, open-source. oh-my-hermes: Your API key, per-use.
Full profiles: langchain-ai/langgraph and rlaope/oh-my-hermes. Everything else in Workflow & graph engines.