Trending-skills hermes-hudui-consciousness-monitor

---
name: hermes-hudui-consciousness-monitor
description: Web UI consciousness monitor for Hermes AI agent with persistent memory — FastAPI backend + React frontend dashboard
triggers:
  - set up hermes hud web ui
  - monitor hermes agent in browser
  - hermes hudui dashboard
  - show hermes agent consciousness monitor
  - hermes web ui not working
  - add token cost tracking hermes
  - hermes hud websocket updates
  - configure hermes hudui themes
---

# ☤ Hermes HUD Web UI

> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.

A browser-based consciousness monitor for the Hermes AI agent. Reads from `~/.hermes/` data files and serves a real-time React dashboard via a FastAPI backend with WebSocket support.

## Architecture Overview

React Frontend (Vite + SWR) ↓ /api/* + WebSocket /ws FastAPI Backend (Python 3.11+) ↓ collectors/*.py + cache + file watcher ~/.hermes/ (agent data files)

- **Backend**: FastAPI with collectors, mtime-based cache, watchfiles watcher
- **Frontend**: React + Vite + SWR with silent background updates and auto-reconnect WebSocket
- **Data source**: `~/.hermes/` directory — no database, no external APIs

## Installation

### Quick Install

```bash
git clone https://github.com/joeynyc/hermes-hudui.git
cd hermes-hudui
python3.11 -m venv venv
source venv/bin/activate
./install.sh
hermes-hudui

Open http://localhost:3001

Manual Install

python3.11 -m venv venv
source venv/bin/activate

# Install Python package
pip install -e .

# Build frontend and copy to backend static dir
cd frontend
npm install
npm run build
cp -r dist/* ../backend/static/

# Start server
hermes-hudui

Subsequent Runs

source venv/bin/activate
hermes-hudui

With TUI Support (Optional)

pip install hermes-hudui[tui]

Requirements

• Python 3.11+
• Node.js 18+
• A running Hermes agent with data written to

  ~/.hermes/

Key CLI Commands

hermes-hudui

./install.sh

Backend: Collectors

Collectors are Python modules in

backend/collectors/

~/.hermes/

Collector Pattern

# backend/collectors/identity.py
from dataclasses import dataclass
from pathlib import Path
import json

HERMES_DIR = Path.home() / ".hermes"

@dataclass
class IdentityData:
    designation: str
    substrate: str
    runtime: str
    days_conscious: int
    brain_size_mb: float

def collect_identity() -> IdentityData:
    config_path = HERMES_DIR / "config.json"
    if not config_path.exists():
        return IdentityData(
            designation="Unknown",
            substrate="unknown",
            runtime="unknown",
            days_conscious=0,
            brain_size_mb=0.0,
        )
    data = json.loads(config_path.read_text())
    return IdentityData(
        designation=data.get("designation", "Hermes"),
        substrate=data.get("substrate", "unknown"),
        runtime=data.get("runtime", "unknown"),
        days_conscious=data.get("days_conscious", 0),
        brain_size_mb=data.get("brain_size_mb", 0.0),
    )

Registering a New Collector in FastAPI

# backend/main.py (simplified pattern)
from fastapi import FastAPI
from backend.collectors.identity import collect_identity
from backend.cache import cached

app = FastAPI()

@app.get("/api/identity")
async def identity():
    return cached("identity", collect_identity)

Backend: Caching

The cache uses mtime-based invalidation. TTLs by data type:

Using the Cache

from backend.cache import cached

# Simple usage — key + callable
result = cached("sessions", collect_sessions)

# With TTL override
result = cached("identity", collect_identity, ttl=10)

Cache Invalidation

The file watcher (

watchfiles

~/.hermes/

Backend: WebSocket

The WebSocket endpoint at

/ws

data_changed

~/.hermes/

Server-Side Broadcast Pattern

# backend/ws.py (simplified)
from fastapi import WebSocket
import asyncio
import json

connected_clients: list[WebSocket] = []

async def broadcast_change(event: str = "data_changed"):
    message = json.dumps({"type": event})
    dead = []
    for ws in connected_clients:
        try:
            await ws.send_text(message)
        except Exception:
            dead.append(ws)
    for ws in dead:
        connected_clients.remove(ws)

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    await websocket.accept()
    connected_clients.append(websocket)
    try:
        while True:
            await websocket.receive_text()  # keep alive
    except Exception:
        connected_clients.remove(websocket)

Frontend: SWR Data Fetching

Each panel fetches its own API endpoint with

keepPreviousData

// frontend/src/hooks/useIdentity.ts
import useSWR from "swr";

const fetcher = (url: string) => fetch(url).then((r) => r.json());

export function useIdentity() {
  return useSWR("/api/identity", fetcher, {
    keepPreviousData: true,
    revalidateOnFocus: false,
  });
}

Frontend: WebSocket Hook

Auto-reconnects with exponential backoff and triggers SWR revalidation on

data_changed

// frontend/src/hooks/useHermesSocket.ts
import { useEffect, useRef } from "react";
import { mutate } from "swr";

export function useHermesSocket() {
  const wsRef = useRef<WebSocket | null>(null);
  const retryDelay = useRef(1000);

  function connect() {
    const ws = new WebSocket(`ws://${location.host}/ws`);
    wsRef.current = ws;

    ws.onmessage = (event) => {
      const msg = JSON.parse(event.data);
      if (msg.type === "data_changed") {
        // Revalidate all SWR keys
        mutate(() => true, undefined, { revalidate: true });
      }
    };

    ws.onclose = () => {
      setTimeout(() => {
        retryDelay.current = Math.min(retryDelay.current * 2, 30000);
        connect();
      }, retryDelay.current);
    };

    ws.onopen = () => {
      retryDelay.current = 1000; // reset on success
    };
  }

  useEffect(() => {
    connect();
    return () => wsRef.current?.close();
  }, []);
}

Frontend: Panel Component Pattern

// frontend/src/panels/IdentityPanel.tsx
import { useIdentity } from "../hooks/useIdentity";

export function IdentityPanel() {
  const { data, isLoading } = useIdentity();

  // Show stale data while refreshing — no loading flash
  if (!data) return <div className="panel-loading">Loading…</div>;

  return (
    <div className="panel">
      <h2>Identity</h2>
      <dl>
        <dt>Designation</dt>
        <dd>{data.designation}</dd>
        <dt>Days Conscious</dt>
        <dd>{data.days_conscious}</dd>
        <dt>Brain Size</dt>
        <dd>{data.brain_size_mb.toFixed(1)} MB</dd>
      </dl>
    </div>
  );
}

Token Cost Pricing

Costs are calculated from token counts using hardcoded per-model pricing in the backend.

Supported Models and Pricing

Unknown models fall back to Claude Opus pricing. Local/free models are detected and priced at $0.

Cost Calculation Example

# backend/collectors/costs.py (pattern)
PRICING = {
    "claude-opus-4": {"input": 15.0, "output": 75.0, "cache_read": 1.50},
    "claude-sonnet-4": {"input": 3.0, "output": 15.0, "cache_read": 0.30},
    "gpt-4o": {"input": 2.50, "output": 10.0, "cache_read": 1.25},
    # ... etc
}

def calculate_cost(model: str, input_tokens: int, output_tokens: int, cache_tokens: int = 0) -> float:
    # Detect local/free models
    if any(tag in model.lower() for tag in ["local", "ollama", "lmstudio"]):
        return 0.0

    pricing = PRICING.get(model, PRICING["claude-opus-4"])  # fallback
    cost = (
        (input_tokens / 1_000_000) * pricing["input"]
        + (output_tokens / 1_000_000) * pricing["output"]
        + (cache_tokens / 1_000_000) * pricing["cache_read"]
    )
    return round(cost, 6)

Themes

Switch themes with the

t

ai

blade-runner

fsociety

anime

CRT scanline overlay is togglable via the theme picker.

Applying a Theme Programmatically

// frontend/src/theme.ts
type Theme = "ai" | "blade-runner" | "fsociety" | "anime";

export function setTheme(theme: Theme) {
  document.documentElement.setAttribute("data-theme", theme);
  localStorage.setItem("hermes-theme", theme);
}

export function getTheme(): Theme {
  return (localStorage.getItem("hermes-theme") as Theme) ?? "ai";
}

Keyboard Shortcuts

1

9

0

t

Ctrl+K

Dashboard Panels / Tabs

~/.hermes/config.json

Adding a New API Endpoint

# 1. Create collector
# backend/collectors/my_feature.py
from dataclasses import dataclass
from pathlib import Path

HERMES_DIR = Path.home() / ".hermes"

@dataclass
class MyFeatureData:
    value: str

def collect_my_feature() -> MyFeatureData:
    path = HERMES_DIR / "my_feature.json"
    if not path.exists():
        return MyFeatureData(value="none")
    import json
    return MyFeatureData(**json.loads(path.read_text()))

# 2. Register route in backend/main.py
from backend.collectors.my_feature import collect_my_feature
from backend.cache import cached

@app.get("/api/my-feature")
async def my_feature():
    return cached("my_feature", collect_my_feature, ttl=30)

# 3. Create frontend hook
# frontend/src/hooks/useMyFeature.ts
import useSWR from "swr";
const fetcher = (url: string) => fetch(url).then(r => r.json());
export const useMyFeature = () =>
  useSWR("/api/my-feature", fetcher, { keepPreviousData: true });

Common Patterns

Check if

~/.hermes/

Exists

from pathlib import Path

HERMES_DIR = Path.home() / ".hermes"

if not HERMES_DIR.exists():
    raise RuntimeError(
        "No ~/.hermes/ directory found. "
        "Make sure the Hermes agent has run at least once."
    )

Graceful Missing File Handling

def safe_read_json(path: Path, default=None):
    try:
        return json.loads(path.read_text()) if path.exists() else default
    except (json.JSONDecodeError, OSError):
        return default

Frontend: Rebuild After Backend Changes

cd frontend
npm run build
cp -r dist/* ../backend/static/

During development, run the Vite dev server separately (proxy configured in

vite.config.ts

/api

/ws

# Terminal 1 — backend
source venv/bin/activate
hermes-hudui

# Terminal 2 — frontend dev server with HMR
cd frontend
npm run dev
# Opens http://localhost:5173 with proxy to :3001

Troubleshooting

Port Already in Use

# Find and kill the process using port 3001
lsof -ti:3001 | xargs kill -9
hermes-hudui

Frontend Not Loading (blank page)

The frontend static files may not be built or copied:

cd frontend
npm install
npm run build
cp -r dist/* ../backend/static/
hermes-hudui

WebSocket Not Connecting ("● live" badge missing)

1. Check the browser console for WebSocket errors
2. Ensure the backend is running (

   hermes-hudui

   )
3. Confirm no firewall is blocking ws://localhost:3001/ws
4. The hook auto-reconnects with exponential backoff — wait a moment

No Data Showing / Empty Dashboard

# Check that ~/.hermes/ exists and has files
ls ~/.hermes/

# Check backend logs for collector errors
hermes-hudui  # errors printed to stdout

watchfiles

Not Detecting Changes

pip install --upgrade watchfiles

On Linux, you may need to increase inotify limits:

echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf
sudo sysctl -p

WSL: Browser Can't Reach Server

The install script detects WSL automatically. If the browser can't connect:

# Get WSL IP
hostname -I | awk '{print $1}'
# Open http://<wsl-ip>:3001 instead of localhost

Python Version Mismatch

python3.11 --version  # must be 3.11+
python3.11 -m venv venv  # explicitly use 3.11

Platform Support

./install.sh

./install.sh

Relationship to hermes-hud (TUI)

Both read from the same

~/.hermes/

hermes-hudui

• Dedicated Memory, Skills, and Sessions tabs
• Per-model token cost tracking with daily trend
• Command palette (

  Ctrl+K

  )
• Live theme switcher with preview
• WebSocket real-time updates

Install both side by side:

pip install hermes-hud       # TUI version
pip install hermes-hudui[tui] # Web UI + TUI bridge