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Hermes Tabular

Tabular AI that grows with your tables — Hermes skills for honest tabular ML, one entry point.

Good to know before installing

Installing pulls numpy, pandas, scikit-learn, pyarrow, joblib and pyyaml into Hermes's environment. The skills have the agent run Python on your data files, may ask it to pip install catboost, tabicl/torch, mapie or matplotlib, and the TabICL skill downloads a pretrained checkpoint of a few hundred MB on first use. Saved checkpoints are pickles: load only ones you made.

From the plugin's catalog listing.

How to install

  1. Install it. Hermes asks for any API keys it needs, then asks whether to turn it on.
    hermes plugins install hermes-tabular
  2. Said no? Turn it on later:
    hermes plugins enable hermes-tabular
  3. Restart Hermes so it loads the plugin.

Some plugins also need a sign-in or settings: see Full setup & settings. Memory plugins ask whether to become your memory provider instead. Steps follow the official plugins guide (opens in a new tab).

Category
Coding & developer tools
Maintained by
frankiethull (Community)
Needs
No API keys declared
Needs Hermes
0.21.6 or newer
Version
0.2.0
In the catalog
2026-10-12
GitHub stars
2

Full setup & settings ↗Source code ↗

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