GumbyEnder

GumbyEnder / hermes-plugins

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Hermes Dashboard plugins — Honcha Memory, and more

19
1
100% credibility
Found Apr 30, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of dashboard add-ons for the Hermes AI agent framework, featuring a plugin to monitor, search, and explore agents' persistent memory with live stats and detail views.

How It Works

1
🔍 Discover the Memory Tool

While managing your AI assistants in their dashboard, you find a helpful add-on to peek into what they remember over time.

2
📁 Add It to Your Setup

You place a simple folder link into your assistant's personal area and refresh the dashboard program.

3
🔄 See the New Tab

Reload your web page, and a fresh 'Memory' section pops up ready to explore.

4
📊 View Live Insights

Instantly see colorful gauges, charts of memory growth, agent activity lists, and health checks that update automatically.

5
🔎 Search What They Know

Type natural questions to smartly find stored facts, chats, or observations from your agents.

6
📋 Dive into Details

Click cards to browse lists of memories, messages, and summaries with easy previews and navigation.

✅ Master Your Agents' Minds

Now you effortlessly track, search, and understand your AI assistants' growing knowledge, keeping everything under control.

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AI-Generated Review

What is hermes-plugins?

This repo delivers dashboard plugins for the Hermes agent framework, starting with Honcho Memory to monitor your github hermes agents' long-term recall. Plug it into the hermes dashboard github control interface, and you get live stats on documents, messages, and embeddings stored in a self-hosted Honcho instance, plus semantic search across agent memories via the hermes agent web dashboard. Built in Python with FastAPI backend and React frontend, it solves the black-box problem of invisible AI memory in hermes ai dashboard setups.

Why is it gaining traction?

Unlike bare-bones hermes github lite 2 or workspace tools, it exposes queue health gauges, per-agent breakdowns with last-active timestamps, and paginated drill-downs into documents and messages—all auto-refreshing every 30 seconds. Developers hook it fast via symlink to a Hermes profile plugins dir, restart the hermes dashboard port service, and boom: a new tab with sparklines, CSV exports, and proxy semantic search over Honcho's vector DB. The hermes agent plugins shine for real-time visibility without custom scripting.

Who should use this?

AI engineers running multi-agent Hermes setups with Honcho memory, especially those debugging session persistence or queue backlogs in hermes github smm workflows. Ops folks managing hermes github token auth and local web dashboards will dig the health checks and config snapshots. Skip if you're not deep into self-hosted hermes ai plugins or github hermes repo experiments.

Verdict

Grab it for Hermes + Honcho stacks—solid docs, 20 pytest tests, and a detailed roadmap make it production-ready despite 19 stars and 1.0% credibility score. Maturity lags big projects, but the quick-start symlink and endpoint stability lower risk for early adopters.

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