Productividad

total-recall

Provides autonomous cross-session memory for OpenClaw by observing conversation transcripts, compressing them into prioritized notes, consolidating large logs, and recovering missed sessions.

★ 273 GitHub Stars
91 Puntuación de calidad
1 Archivos

Sobre esta Skill

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.

Casos de uso

  • Persisting conversation context across sessions
  • Recovering context missed by scheduled observation
  • Consolidating large memory logs
  • Capturing context before compaction
  • Triggering memory capture during high activity

Funciones

  • LLM-based conversation observer
  • Automatic observation consolidation
  • Session recovery on new or reset sessions
  • Linux inotify-based reactive watcher
  • Pre-compaction memory capture

Requisitos

  • OpenClaw
  • Bash
  • jq
  • curl
  • OPENROUTER_API_KEY

Agents compatibles

Other

Archivos de Skill

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