2026-03-02 — Monday (Heartbeat Check)

Morning (04:13)

Heartbeat initiated — systems check
Monday weekly maintenance triggered

Weekly Maintenance (Monday Tasks)

Backup logs reviewed — some expected errors (UniFi credential path, private IP blocks)
MEMORY.md reviewed — current and accurate
Store key decisions from past week — no major decisions since Feb 28

Log Review — Issues Flagged

🔴 UniFi Skill — Credential Write Failing

Error: write failed: Path escapes workspace root (5+ occurrences since midnight)
Root cause: Skill trying to use write tool for ~/.clawdbot/credentials/unifi
Fix: Update skill to use exec + file operations (like Obsidian CLI pattern)
Impact: UniFi monitoring may not have credentials cached

🟡 Expected/Normal

web_fetch blocked for 192.168.0.39 — security policy blocking private IPs
read failed for 2025-03-02.md — date math error (old date), non-critical

Active Projects (Carried Forward)

UniFi Network Monitoring — needs credential fix
Research Agent Spawning — active
Mission Control Python — stable
Discord Reminder System — stable ✅

Notes

Supermemory backup running via cron (status nominal)
Discord voice bot operational
All core systems green

Evening — Memory Vector System Complete

What We Built

Replaced flaky Supermemory embedding with local SQLite-vector solution.

Components:

Component	File	Purpose
`memory_vector.py`	`/workspace/`	Core wrapper for sqlite-vector
`memory_embedding_worker.py`	`/tools/`	Daily memory processor
`session_snapshotter.py`	`/tools/`	Real-time conversation capture
`search_memories.py`	`/tools/`	CLI search tool
`bulk_memory_loader.py`	`/tools/`	One-time historical import
`memory-embeddings-cron.ps1`	`/scripts/`	Cron wrapper

Technical Details:

Database: ~/.openclaw/memory.db with memory_embeddings table
Dimensions: 768 (nomic-embed-text)
Extension: sqlite-vector (sqliteai) via Python package
Backup: memory-backup-20260302-215210.db created before migration

Bulk Load Results:

Daily notes: 818 embeddings
Project files: 332 embeddings
MEMORY.md: 33 embeddings
Total: 1,186 embeddings in vector DB

Automation:

Daily cron at 3 AM: Processes yesterday's memory file
Session snapshotter: Every 15 substantial messages
Manual tools: search_memories.py for CLI queries

Search Example:

python tools/search_memories.py "home assistant automation"

Session Memory Tracker

Message count tracked in workspace-context.md
Auto-snapshot at message #15, #30, #45, etc.
Audit trail visible in Session Memory Tracker table
All snapshots stored with source_type="session_snapshot"

Status

🟢 Operational — Supermonkey-powered memory system active

Session: Heartbeat | Monday maintenance mode | Evening: Memory Vector System deployed Session ended: 23:00 CST | 46 messages | 1,187 total embeddings

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