rlaope/oh-my-hermes
⚚ The coding harness with Hermes Agent wired into IDE.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 2 days ago, with 30 contributors on GitHub.
Peaked at #54 in the weekly ranking the week of Sep 20, its best in the past year.
Use Cases & Benefits
- Provides an all-in-one plugin that enhances Hermes Agent with coding intelligence, long-term memory, and optimized AI workflow packages.
- Strengthens existing Hermes workflows by adding a professional operating layer with explicit evidence boundaries without replacing Hermes or hiding its executor.
- Use for improving AI-assisted coding workflows with per-model tuning, task splitting, and specialist skill integration to increase efficiency and accuracy.
- Use for managing and recalling long-term memory in AI agent sessions to maintain context and provenance across multiple interactions.
- Use for configuring and routing AI models dynamically per task category, enabling cost-effective and precise model selection for diverse AI workloads.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Install once. Keep Hermes. Add a stronger operating layer.
Planning, research, creation, coding handoffs, operations, and project memory with explicit evidence boundaries.
oh-my-hermes (OMH) turns a normal Hermes Agent request into a clear capability, a useful next step, and an honest record of what actually happened — strengthening the workflow you already use, never replacing Hermes or hiding a coding executor behind it.
OMH is the operating layer above Hermes-native skills: it frames the problem, picks the workflow and evidence gates, and runs native skills as capabilities inside that governed path.
Or paste this into your AI agent:
⭐ Then set it up (required):
omh updatedetects how the command was installed, upgrades the command package through its owning installer, then re-enters the updated command to refresh managed skills, the installed plugin bundle, and existing Hermes registration.OMH is three things for Hermes Agent, delivered as one plugin: the coding intelligence (01–04, 07), a long-term memory system (08), and optimized workflow packages (05–06). One scene each, drawn from the real surfaces.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+2,891 stars over 46 days across 16 snapshot days; best day +295 on Sep 15.
Forks
376+221
Open issues
13+0
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| rlaope/oh-my-hermes | 4.8K | — | 65 | 2 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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