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Team Aegis

THE 40-60 AI GAP 200M Indians aged 40-60 are left behind by AI—not because they can't learn, but AI isn't built for them.

Core trick

Joins wearable sleep data with spending records so a single spoken query gets cross-domain answers from a mostly local model.

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Description

THE 40-60 AI GAP 200M Indians aged 40-60 are left behind by AI—not because they can't learn, but AI isn't built for them. Current AI demands typing, English, prompts, app-switching. At this age, people manage businesses, families, health—no time for new tools. Three things matter: work-life balance, health, wealth—interconnected. A founder works 80hrs weekly, sleeps 5hrs, has critical meeting tomorrow—exhausted. Financial stress disrupts sleep. Poor sleep triggers emotional spending. This cycle destroys health and wealth—no AI connects these dots. Current tools fail: health apps ignore finances, financial apps ignore health, AI assistants need prompting, nothing works in native languages or voice-only. AEGIS: THE SOLUTION First AI managing work, health, wealth in one voice interface for 40-60 year-olds. BREAKS BARRIERS: - Voice-first (Hindi, English) - Zero typing, one command - Opus 4.6 cross-domain intelligence - 85% local (fast, private) Built with Opus 4.6. Open source.
Aegis-ai-labs/Aegis★ 10 forksPythonMITCreated Feb 11, 2026 · last push Feb 16, 2026

README excerpt

![AEGIS Banner](https://drive.google.com/uc?export=view&id=1U_Yo3SlqEXk9FVih5E0w1_cEwq0jfMj6)

# AEGIS — AI Wearable Personal Assistant

> **Contextual intelligence for everyone.** An AI assistant that actually knows your body.

Built for the Anthropic Claude Code Hackathon (Feb 10-16, 2026)

---

## The Problem

Generic AI assistants give generic advice. "Get 8 hours of sleep." "Save money."

But YOUR body is unique. Your patterns matter.

## The Solution

**AEGIS** is a voice-first AI pendant that combines health tracking with wealth management, making advice **contextually intelligent** by understanding YOUR actual patterns.

### Key Innovation: Body-Aware AI

Instead of generic advice, AEGIS says:

- "You averaged 6 hours on weekdays vs 7.9 on weekends — that 2-hour sleep debt explains your weekday fatigue."
- "You spent $12 on coffee after 5 hours of sleep. Your spending spikes when you're tired."
- "For 5K training, do lunchtime walks — evening exercise will hurt your already-limited weekday sleep."

---

## Architecture

```
┌─────────────┐
│   ESP32     │  16kHz PCM audio
│  (Pendant)  │  ←────────────────┐
│             │                   │
│ • INMP441   │                   │
│ • PAM8403   │                   │
│ • WiFi      │                   │
└─────────────┘                   │
                                  │
                          WebSocket (binary)
                                  │
┌─────────────────────────────────┼───────────────────────────┐
│  BRI

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