recall

recall is a Memory stores & recall skill for AI agents, published by msbaek in the dotfiles repository on GitHub. Skillspace rates recall C (77/100) and it passed the safety scan; the rating is based on static analysis only.

Load context from vault memory. Temporal queries (yesterday, last week, session history) use agf (history.jsonl) for fast session lookup. Topic queries use vis semantic search. "recall graph" generates interactive temporal graph of sessions and files. Every recall ends with "One Thing" - the single highest-leverage next action synthesized from results. Use when user says "recall", "what did we work on", "load context about", "remember when we", "prime context", "yesterday", "what was I doing", "last week", "session history", "recall graph", "session graph".

Grade

C

Quality

77 / 100

Safety

Passed

GitHub stars

40

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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