GumbyEnder

GumbyEnder / hermes-local-rig-accounting

Public

Hermes Agent plugin: transparent per-token cost accounting for local LLM inference rigs

14
0
100% credibility
Found Apr 27, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

Plugin for Hermes AI agent that tracks electricity usage, hardware depreciation, and performance benchmarks to calculate per-token costs for local AI model inference.

How It Works

1
🖥️ Discover the cost tracker

You hear about a handy tool that reveals the real electricity and wear costs of running AI on your home computer.

2
🚀 Add it to your AI helper

With one simple action in your AI assistant, you bring the tracker onboard.

3
⚙️ Share your computer details

You tell it your computer's total price, expected lifespan, power usage, and local electricity rate.

4
📊 Test your AI's speed

You run a quick check to see how many words per second your home AI can create.

5
💰 Check your costs anytime

Use easy commands to view session costs, full summaries, or rates by area.

6
🏆 Share results if you want

Optionally send your speed test to a community list to help others compare setups.

✅ Smart choices unlocked

Now every chat shows true costs, helping you decide between home or online AI.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 14 to 14 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is hermes-local-rig-accounting?

This Python plugin for the Hermes agent github ecosystem tracks real per-token costs for local LLM inference on your rig, factoring in electricity, hardware depreciation, and measured throughput from tools like Ollama or LM Studio. It hooks into Hermes agent sessions to accumulate token stats from local providers, then surfaces costs alongside cloud pricing via slash commands like /rig-summary and /rig-cost. Install it directly with hermes plugins install GumbyEnder/hermes-local-rig-accounting, tweak config.yaml for your power draw and rates, and benchmark models with /rig-benchmark to get accurate $/M-token figures.

Why is it gaining traction?

Unlike vague "local is free" assumptions, it delivers auditable economics—auto-lookup regional electricity rates (Texas at $0.157/kWh), TPS benchmarks for models like Qwen, and optional community leaderboard submits via Cloudflare Worker, no GitHub auth needed. Hermes agent ollama users love the seamless integration for multi-rig setups and session tracking, turning abstract power bills into actionable comparisons for hermes agent reddit discussions on agent skills and costs.

Who should use this?

Local AI tinkerers running Hermes agent ai on desktops with Ollama, vLLM, or LM Studio, especially those splitting time between hermes agent obsidian notes and production inference. Cost optimizers debating hermes github repo upgrades versus cloud APIs, or teams tracking hermes agent install economics across laptops and servers.

Verdict

Grab it if you're deep in Hermes agent docs and local rigs—docs are crisp, config is straightforward, MIT licensed—but with 14 stars and 1.0% credibility, it's early alpha for production. Benchmark your setup first; it'll clarify if local beats cloud before you scale.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.