Hypermind is a completely decentralized, Peer-to-Peer deployment counter.
It solves the critical infrastructure challenge of knowing exactly how many other people are currently wasting 50MB of RAM running this specific container.
You have a server rack in your basement. You have 128GB of RAM. You have deployed the Arr stack, Home Assistant, Pi-hole, and a dashboard to monitor them all. But you crave more.
You need a service that:
- Does absolutely nothing useful.
- Uses "Decentralized" and "P2P" in the description.
- Makes a number go up on a screen.
Enter Hypermind.
There is no central server. There is no database. There is only The Swarm.
We utilize the Hyperswarm DHT (Distributed Hash Table) to achieve a singular, trivial goal of Counting.
- Discovery: Your node screams into the digital void (
hypermind-lklynet-v1) to find friends. - Gossip: Nodes connect and whisper "I exist" to each other.
- Consensus: Each node maintains a list of peers seen in the last 2.5 seconds.
If you turn your container off, you vanish from the count. If everyone turns it off, the network ceases to exist. If you turn it back on, you are the Creator of the Universe (Population: 1).
Since you're probably pasting this into Portainer anyway:
docker run -d \
--name hypermind \
--network host \
--restart unless-stopped \
-e PORT=3000 \
ghcr.io/lklynet/hypermind:latest
⚠️ CRITICAL NETWORK NOTE: Use--network host. This is a P2P application that needs to punch through NATs. If you bridge it, the DHT usually fails, and you will be the loneliest node in the multiverse.
Add this to your docker-compose.yml to permanently reserve system resources for no reason:
services:
hypermind:
image: ghcr.io/lklynet/hypermind:latest
container_name: hypermind
network_mode: host
restart: unless-stopped
environment:
- PORT=3000
For when you need your useless counter to be orchestrated by a control plane.
kubectl create deployment hypermind --image=ghcr.io/lklynet/hypermind:latest --port=3000
kubectl set env deployment/hypermind PORT=3000
kubectl expose deployment hypermind --type=LoadBalancer --port=3000 --target-port=3000
The community has bravely stepped up to integrate Hypermind into critical monitoring infrastructure.
Do you want your living room lights to turn red when the swarm grows? Of course you do.
The Hypermind HA Integration (installable via HACS) provides:
- RGB Control: 0 nodes = Green. 10,000 nodes = Red.
- Sensors: Swarm health checks and statistics logging.
- WLED Support: Visualize the swarm size on a literal LED strip.
If it's not on your dashboard, does it even exist? You can query the /api/stats endpoint to add a widget to gethomepage/homepage.
Add this to your services.yaml:
- Hypermind:
icon: /icons/hypermind2.png
href: http://<YOUR_IP>:3000
widget:
type: customapi
url: http://<YOUR_IP>:3000/api/stats
method: GET
mappings:
- field: count
label: Swarm Size
- field: direct
label: Friends
To get the icon to work, you have to add the icon to /app/public/icons. If you have homepage running in a docker you mount an extra volume in your compose file.
See detailed instructions.
| Variable | Default | Description |
|---|---|---|
PORT |
3000 |
The port the web dashboard listens on. Since --network host is used, this port opens directly on the host. |
MAX_PEERS |
1000000 |
Maximum number of peers to track in the swarm. Unless you're expecting the entire internet to join, the default is probably fine. |
Open your browser to: http://localhost:3000
The dashboard updates in Realtime via Server-Sent Events.
You will see:
- Active Nodes: The total number of people currently running this joke.
- Direct Connections: The number of peers your node is actually holding hands with.
Want to contribute? Why? It already does nothing perfectly. But here is how anyway:
# Install dependencies
npm install
# Run the beast
npm start
You can run multiple instances locally to simulate popularity:
# Terminal 1 (You)
PORT=3000 npm start
# Terminal 2 (Your imaginary friend)
PORT=3001 npm start
They should discover each other, and the number will become 2. Dopamine achieved.
Q: Is this crypto mining? A: No. We respect your GPU too much.
Q: Does this store data? A: No. It has the short-term working memory of a honeybee (approx. 2.5 seconds). Which is biologically accurate and thematically consistent.
Q: Why did you make this? A: The homelab must grow. ¯\(ツ)/¯