gavdalf / total-recall
total-recall
The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into prioritised notes, consolidates when they grow, and recovers anything missed. Five layers of redundancy, zero maintenance. ~$0.00/month (using free-tier models). While other memory skills ask you to remember to remember, this one just pays attention.
Preview
The only memory skill that watches on its own.
No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into prioritised notes, consolidates when they grow, and recovers anything missed. Five layers of redundancy, zero maintenance. ~$0.00/month (using free-tier models).
While other memory skills ask you to remember to remember, this one just pays attention.
Architecture
Layer 1: Observer (cron, every 15-30 min)
↓ compresses recent messages → observations.md
Layer 2: Reflector (auto-triggered when observations > 8000 words)
↓ consolidates, removes superseded info → 40-60% reduction
Layer 3: Session Recovery (runs on every /new or /reset)
↓ catches any session the Observer missed
Layer 4: Reactive Watcher (inotify daemon, Linux only)
↓ triggers Observer after 40+ new JSONL writes, 5-min cooldown
Layer 5: Pre-compaction hook (memoryFlush)
↓ emergency capture before OpenClaw compacts contextWhat It Does
SKILL.md