memory-slices

memory-slices is a Memory stores & recall skill for AI agents, published by blueif16 in the PiFlow repository on GitHub. Skillspace rates memory-slices D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Per-node MEMORY slices (Leg A — self/history) — FIND a node's standing lessons + cross-run RECURRENCE before the optimizer edits it, and MAINTAIN the memory.md set so it stays honest, bounded, and never rots. The Leg-A twin of `okf-slices` (Leg B — world/code): a memory lesson `[[links]]` the OKF code slice it concerns, so its freshness gate rides that slice's `--check`. TRIGGER on either intent: (FIND) the out-of-band triage/fixer needs "has this node failed THIS way before, how often, and what did we learn?" — the LAPSE-vs-SKILL signal — before bucketing or editing a node; or (MAINTAIN) someone runs the MEMORIZE step, asks when/how memory.md is updated, what a lesson's scope is, whether a lesson is stale, or WHERE a lesson should live (per-node vs system). Works on any repo with template-scoped `memory.md` (`.piflow/<wf>/template/{memory.md, nodes/<id>/memory.md}`; config in `.agents/okf/okf.config.json`). Memory is OPTIMIZER-FACING reference, NEVER injected into a worker node's…

Grade

D

Quality

59 / 100

Safety

Passed

GitHub stars

101

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