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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.
total-recall is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Total Recall — Autonomous Agent Memory **The only memory skill that watches on its own.** No database. No vectors. No manual saves. Just an LLM observer that. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding total-recall to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install gavdalf/total-recallReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Total Recall — Autonomous Agent Memory **The only memory skill that watches on its own.** No database. No vectors. No manual saves. Just an LLM observer that compresses your conv