Adolfo Reyna 0f84463a9f housekeeping 2026-08-05: organize PARA, clean inbox, archive travel, restore paper-apps
- Inbox -> archives/inbox_processed: ari_followup (Sardius), remarkable_inbox, tic_tac_toe_state
- Inbox images -> resources/kids-os (KidsOS UI 2026-07-28)
- Archives/travel/2026: Aeromexico HCYDNU confirmation + Hertz BOS L670EDC05D8
- Exports/calendars: all_flights, chiapas TGZ, maine BOS ICS
- Areas: chiapas_trip_2026-09 (HCYDNU booked), trump_accounts_and_emi_board_2026 (Trump accounts + EMI FL board), operations audits (hermes migration + Apple Mail local research)
- Projects new (enriched stubs from MEMORY.md): xiao_epaper 400x300 (5-pass grayscale), mac_privacy_migrations (Xcode signing), remarkable_pro workflow (132 + watchdog + art), tactility_humation_avatars (320x240 pre-render), voice_dev_infra (network map .102/.110/.150)
- Paper-apps: restored detailed README (181 lines porting guide) + enriched paper_apps_golf_galaxy_zero project with full mechanics cross-ref
- Maine wedding: Hertz rental 63 L670EDC05D8 + tolls (PlatePass vs SunPass PRO) — intentional addition kept
- 220 Emerald: removed duplicate consolidated junk appended at end (142 lines clean)
- Removed runtime logs: chrome.err (288 lines), chrome.log tracked -> now ignored per .gitignore
- Clean empty inbox
2026-08-05 14:33:41 -04:00
2026-02-28 10:00:39 -05:00
2026-02-28 10:00:39 -05:00
2026-07-26 23:00:01 -04:00
2026-02-28 10:00:39 -05:00
2026-02-28 10:00:39 -05:00

Local LLM Second Brain 🧠

Architecture: Telegram -> n8n -> Pi Agent -> Local Markdown

How it Works

  1. Messages are sent via Telegram.
  2. n8n catches the webhook, formats the payload, and sends it to Pi Agent via CLI.
  3. Pi Agent reads the core system files (agent.md, rules.md, soul.md) and the user's message.
  4. Pi Agent interacts with the local file system (PARA method) to read/write memories.
  5. Every morning, a cron job/n8n schedule summarizes the previous day's session into /journals and clears the short-term memory.

Getting Started

To initialize the brain, send this exact message to the bot via Telegram: @agent execute bootstrap

S
Description
No description provided
Readme 40 MiB
Languages
HTML 48.3%
Python 37.9%
TypeScript 9.4%
JavaScript 3.7%
Mermaid 0.7%