8bit64k

8bit64k / cronalytics

Public

Hermes Agent plugin for cron observability. Turn hidden automation into visible spend.

13
0
100% credibility
Found May 13, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Cronalytics adds a dashboard tab to Hermes Agent for tracking costs, token usage, success rates, and projections of scheduled automation jobs.

How It Works

1
🕵️ Spot the tool

While checking your Hermes dashboard, you find Cronalytics in the plugins section to watch your scheduled tasks.

2
📥 Add it simply

Paste the project name into the install spot and click to bring it into your dashboard.

3
📊 Unlock the view

Refresh the page and open the new Cronalytics tab to see a colorful overview of your automations.

4
⏳ Collect first info

Run a few scheduled tasks or hit sync now, and watch real details like costs and runs fill the cards.

5
🔍 Explore freely

Filter by successes or types, sort the job list, click leaders to peek at top spenders and paces.

🚀 Optimize happily

Spot pricey jobs, trim waste, and keep your automations running smooth and cheap.

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Star Growth

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AI-Generated Review

What is cronalytics?

Cronalytics is a Python plugin for the Hermes agent desktop app that tracks costs, tokens, durations, and success rates of cron-scheduled automations. It hooks into session ends to log data from Hermes agent AI runs into a local SQLite store, then displays it in a dedicated dashboard tab with summaries, leaderboards, model breakdowns, and per-job tables. Users get visibility into hidden spend from agent automation, plus schedule-based projections like monthly pace (trend vs. nominal budget).

Why is it gaining traction?

It stands out by integrating directly into the Hermes agent dashboard—no extra tools needed—while offering filters for success/failure and agent/no-agent modes, sortable run histories up to 200 deep, and a "Sync Now" button for backfilling historical data. Devs love the CLI for quick terminal summaries (e.g., `python -m cronalytics.cli summary`) and API endpoints for custom queries. Compared to generic monitoring, its Hermes-specific cron parsing delivers actionable pace metrics to optimize automation budgets.

Who should use this?

Hermes agent GitHub repo users building scheduled AI agents, like those running Ollama models via cron for daily reports or data pipelines. Ideal for solo devs or small teams managing Hermes agent skills in Docker setups, tracking token burn from hermes github ai agent workflows versus lighter alternatives like OpenClaw.

Verdict

Grab it via Hermes plugins tab (github.com/8bit64k/cronalytics) if you run cron jobs—solid docs, 83 tests, and intuitive UI make it production-ready despite 13 stars and 1.0% credibility score. Maturity is early (solo dev, best-effort fixes), but low risk for Hermes users watching automation costs.

(198 words)

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