openclaw-workspace/memory/2026-02-18.md

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

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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• Corey went through memory files to correct outdated info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

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🏗️ 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