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🤖 Agentic AI

Perry — Autonomous Personal AI Agent

A 24/7 personal agent running on a Raspberry Pi that doesn't just answer questions — it reaches out, remembers, and acts across calendar, mail, expenses, location, and health.

Overview

Perry is a personal AI agent that runs continuously on a Raspberry Pi 4, reachable through Telegram. It’s a study in what an always-on, proactive agent looks like — one with persistent memory, a real tool ecosystem, and the autonomy to start conversations rather than only respond to them.

Architecture

  • Edge-hosted agent runtime — runs 24/7 on a Pi 4 on an agent framework paired with Gemini 2.5 Flash, with a Telegram bot as the conversational surface. No cloud server to keep alive.
  • Multimodal I/O — handles text, transcribes voice notes, analyzes images, and generates images, all through the same chat interface.
  • Persistent + isolated memory — session memory carries context across conversations, with fully isolated per-user data so an owner and approved users never share state.
  • Tool ecosystem — integrations spanning Google Calendar / Gmail / Drive, a searchable notes knowledge base, weather, web search, expense tracking with auto-categorization, Wi-Fi-based location awareness, and health metrics (steps, sleep, heart rate) pulled from a smartwatch.

What Makes It Interesting

  • Proactive behaviors — Perry initiates: a morning briefing (calendar + email triage + sleep), pre-meeting prep briefs, calendar nudges with travel notes when away, an evening recap, an auto-written daily journal, and a git-style weekly “life changelog.”
  • Self-monitoring — a periodic heartbeat runs self-checks (long-absence alerts, upcoming-interview reminders, tool health).
  • Data fusion — proactive messages blend calendar, email, expenses, location, and health into a single coherent picture rather than siloed notifications.

Highlights

  • Always-on agent on edge hardware (Raspberry Pi 4)
  • 10+ tool integrations behind one conversational interface
  • Proactive, scheduled behaviors — the agent reaches out first
  • Per-user data isolation with cross-session memory