Silvio OS

The Problem

Capturing information is effortless. Processing it is not. I was saving articles, notes, ideas, and tasks across half a dozen tools, but nothing connected them. Knowledge saved was knowledge lost. Commitments fell through cracks because no system tracked them proactively. And the work of organizing, tagging, and surfacing insights was always manual.

I wanted to invert the traditional PKM labor model: AI handles the processing, I handle the judgment. One interface, always on, that turns raw captures into actionable intelligence without me having to think about filing, tagging, or scheduling.

Architecture

A single FastAPI process runs on a VPS as a systemd service. Telegram is the universal interface: text, URLs, voice notes, and images all flow in through one chat. Gemini handles the intelligence layer. Two SQLite databases separate concerns: gateway (commitments, routing, scheduling) and knowledge (notes, embeddings, enrichment logs).

Telegram (You)
    ↓
FastAPI Gateway (webhook / polling)
    ├── Message Router → classifies intent
    ├── APScheduler → 10+ cron jobs
    │
    ├── Knowledge System
    │   ├── Capture → vault/inbox/
    │   ├── Enrich (every 5 min) → tag, classify, link
    │   ├── Index (every 6 min) → vector embeddings
    │   └── Retrieve → /ask RAG pipeline
    │
    ├── Commitments Tracker
    │   └── Tasks, shopping, errands with reminders
    │
    ├── Career Integration (read-only)
    │   └── Pipeline status from CareerOS
    │
    └── Briefs Engine
        ├── Daily (7 AM) → captures, commitments, serendipity
        └── Weekly (Sunday 8 AM) → patterns, drift, analytics

Key Decisions

What I Built

Tech Stack

What I Learned

The most important feature in Silvio OS isn't RAG or embeddings. It's the daily brief. Everything else is infrastructure to make that 7 AM message useful. When I stopped thinking about "knowledge management" and started thinking about "what do I need to know right now," the architecture simplified dramatically.

I also learned that always-on systems need to be boring. No Docker, no Postgres, no Kubernetes. One Python process, two SQLite files, one systemd service. The system has been running for weeks without intervention because there's nothing fancy to break. Reliability comes from simplicity, not redundancy.