gharasathi ("for home" in Marathi) is a household AI that runs entirely in our house. It brings together money, photos and documents so we can make better decisions as a family without sending our data to anyone's cloud.
It follows the same rules everywhere:
- The data stays home. Inference runs on a Mac Studio in the house.
- Code counts, the model explains. No figure comes from the model's head.
- Every finding shows its evidence. That means a transaction, or a line quoted from a document.
This page lists every series. I update it whenever a new part is published.
1. The idea: gharasathi: Building a Household AI
How it started: a $200 mini PC, Neo4j at the core, and a 3B model.
- A Privacy-First Household AI Running on a $200 Mini PC
- Running an LLM on 6GB RAM: Model Selection for Edge AI
- What OpenClaw Teaches Us About Personal AI Security
2. Finance: Hishob (हिशोब)
A private money dashboard. It reads bank data, bills and statements, finds where the money goes, and explains what to do about it.
- Hishob: A Private Money Dashboard With a Local AI That Finds Where It Goes
- Running Qwen3.5-122B on a Mac Studio as a Household Finance Analyst
- Reading Bills and Statements Without AI, and the Money They Found
Coming later
- Photos: Immich on the Mac Studio. Our photo library, off iCloud and Google Photos.
New parts are added to the series they belong to, and listed here.
Top comments (1)
What's gharasathi about? Curious to see what you're building.