memori

memori is a Memory stores & recall skill for AI agents, published by MemoriLabs in the Memori repository on GitHub. Skillspace rates memori C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Ambient Memori long-term memory for Claude Code via local Bash. MUST TRIGGER on essentially every non-trivial user turn: run recall before drafting any substantive response, whether or not the user mentioned memory, a prior session, or past work. The default is to check memory first; do not wait to be asked. Always fire before external lookups (WebSearch/WebFetch) and before answering any question about preferences, prior decisions, constraints, project history, status, past work, or any non-trivial coding/research task. Skip only for trivial acknowledgements/closings, purely self-contained turns where prior context cannot possibly help, or when the user explicitly opts out. Use Advanced Augmentation after drafting the final response for every non-trivial turn, as the last memory step. Use recall.summary only for broad session summaries/orientation, compaction after context loss, feedback for memory quality, quota for limits, and signup only when explicitly requested.

Grade

C

Quality

72 / 100

Safety

Passed

GitHub stars

15,638

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

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