# 2026-02-18

## Proton Mail Bridge Integration

**Explored integrating Proton Mail via the Proton Bridge**

### Bridge Connection Details
- **IMAP Server**: 127.0.0.1:1143
- **SMTP Server**: 127.0.0.1:1025
- **Username**: alexthenerdyai@proton.me
- **Security**: AUTH=PLAIN (credentials sent in clear over local connection)
- **Bridge Version**: Proton Mail Bridge 03.22.00 - gluon

### Test Results
- ✅ Connected successfully to Bridge IMAP
- ✅ Authenticated with Bridge password
- ✅ Retrieved folder list (10 folders found)
- ✅ INBOX has 3 messages, all unread

### Folders Available
- INBOX
- Sent
- Drafts
- Starred
- Archive
- Spam
- Trash
- All Mail
- Folders
- Labels

### Files Created
- `tools/proton_imap_test.py` - Initial test script (unicode issues)
- `tools/proton_imap_simple.py` - Working IMAP test script

### Next Steps
- Can read emails from INBOX
- Can search, mark read/unread, move messages
- Can send emails via SMTP
- Potential: Daily email digest, notifications, automated responses

---

## Memory Cleanup
- Corey went through memory files to correct outdated info
- Updated LAMP Stack Project section (dashboard location corrected)
- Clean foundation established after 3 OpenClaw installs, 2 OS changes

---

## 🏗️ HIERARCHICAL MEMORY SYSTEM — MAJOR ARCHITECTURE CHANGE

**Time:** 2026-02-18 20:42-20:45
**Source:** https://github.com/ucsandman/OpenClaw-Hierarchical-Memory-System
**Impact:** TRANSFORMATIVE — 60-70% token reduction on session start

### What We Built

Replaced flat MEMORY.md with **index + drill-down structure**:

**New Directory Structure:**
```
memory/
├── people/
│   └── corey.md              (user profile, 679 bytes)
├── projects/
│   ├── home-assistant.md     (HA project details)
│   ├── coding-workflow.md    (Git/repos setup)
│   ├── discord-voice-bot.md  (GLaDOS voice bot)
│   └── memory-system.md      (meta documentation)
├── decisions/
│   └── 2026-02.md            (February decision log)
└── context/                   (temp files, ready for use)
```

**MEMORY.md Rebuilt:**
- **Before:** 5-10k tokens (full detail, everything crammed in)
- **After:** 2.4k tokens (lightweight index, drill-down references)
- **Savings:** 60-70% reduction on session start
- **Drill-down cost:** ~1k per detail file (only when needed)

### Key Features

1. **Trigger Words** — Each entry has keywords for auto-drill
2. **Active Context Section** — 4 projects always visible in index
3. **Drill-Down Rules** — Max 5 drill-downs per session
4. **Hard Cap** — 3k token limit on index
5. **Integration Points** — Table showing where to find what

### Token Math

| Scenario | Before | After | Savings |
|----------|--------|-------|---------|
| Session start | 5-10k tokens | ~2.4k tokens | **70%** |
| Drill down 1 file | N/A | +~1k tokens | On-demand |
| Full context | 15-20k tokens | ~5-6k tokens | **65%** |

### Files Created

- `memory/people/corey.md` — User profile extracted
- `memory/projects/home-assistant.md` — HA project
- `memory/projects/coding-workflow.md` — Coding setup
- `memory/projects/discord-voice-bot.md` — Voice bot
- `memory/projects/memory-system.md` — Meta docs
- `memory/decisions/2026-02.md` — February decisions
- `MEMORY_MIGRATION_LOG.md` — Full migration notes
- `WORKSPACE_STRUCTURE.md` — Quick reference guide

### Cleanup

**Moved to `unused_files/`:**
- hello.txt
- ha_entities.csv (replaced by ha_devices.csv)
- 4x YouTube transcript .vtt files

### Why This Matters

This is **Phase 1 of 4-layer memory**:
1. ✅ **Hierarchical index** (today) — structured lookups
2. 🔄 **Vector memory** — fuzzy search (future)
3. ✅ **Daily logs** — timeline queries (existing)
4. ✅ **SQLite database** — lesson retrieval (existing)

All complementary, all token-efficient.

### Next Review

Check if index stays under 3k tokens. Archive inactive items if it grows.

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## End of Day