hermes-agent vs Jupyter AI
Side-by-side comparison of two AI agent tools
Short answer
- hermes-agent is growing faster: +5,760 GitHub stars in the last 30 days vs +40 for Jupyter AI.
- Pick hermes-agent for: the agent that grows with you. Pick Jupyter AI for: a generative AI extension for JupyterLab.
From GitHub data refreshed daily.
h
hermes-agentopen-source
The agent that grows with you
Jupyter AIopen-source
A generative AI extension for JupyterLab
Metrics
| hermes-agent | Jupyter AI | |
|---|---|---|
| Stars | 250.7k | 4.4k |
| Star velocity /mo | 5.8k | 39.68253968253968 |
| Commits (90d) | 32.9k | 92 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9501761663348766 | 0.6302672249342461 |
Pros
- +Extensive provider ecosystem with support for 10+ major AI services plus local model execution through GPT4All and Ollama
- +Universal compatibility across notebook environments including JupyterLab, Google Colab, Kaggle, and VSCode
- +Dual interface approach with both magic commands for inline AI and dedicated chat UI for conversational assistance
Cons
- -Requires API keys and credentials for most cloud-based AI providers, adding setup complexity
- -Limited to newer versions (JupyterLab 4+ or Notebook 7+) with no backward compatibility for older installations
- -Dependency on external model providers for full functionality unless using local models
Use Cases
- •Interactive data science workflows where AI assists with analysis, visualization, and interpretation of datasets
- •Educational environments for teaching AI concepts and allowing students to experiment with different models
- •Rapid prototyping of AI-powered applications and testing model responses across different providers
FAQ
- Which is more popular, hermes-agent or Jupyter AI?
- hermes-agent has more GitHub stars (250,690 vs 4,412).
- Which is more actively developed, hermes-agent or Jupyter AI?
- hermes-agent had more commits in the last 90 days (32,889 vs 92).
- Should I use hermes-agent or Jupyter AI?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.