Tameru

Big tool outputs, kept small, nothing lost: old tool results shrink to the lines that matter and every distinct error, and the tameru_expand tool brings back the exact original. Deterministic and local, with no LLM calls.

Good to know before installing

Subclasses Hermes's built-in ContextCompressor and overrides its private prune/demote methods (checks their shape at startup and falls back to stock compaction when they change). Unless you set compression.proactive_prune_tokens yourself, turns on proactive tool-result pruning with a trigger scaled to the model's context window, and after each prune shortens Hermes's re-prune runway. Adds a model-callable tameru_expand tool that returns pruned tool output from memory or from this session's archive (web, browser and MCP output stays wrapped as untrusted data); complex regex greps run in a short-lived local Python child process. No network calls; the render log is off by default.

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 tameru
  2. Said no? Turn it on later:
    hermes plugins enable tameru
  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
Cost, speed & monitoring
Maintained by
0xWhiteMage (Community)
Needs
No API keys declared
Adds tools
tameru_expand
Works on
linux
Needs Hermes
0.21.7 or newer
Version
1.5.0
In the catalog
2026-10-12, updated 2026-10-16

Full setup & settings ↗Source code ↗

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