evo-memory

evo-memory is a Memory stores & recall skill for AI agents, published by EvoScientist in the EvoSkills repository on GitHub. Skillspace rates evo-memory C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Manages persistent research memory across ideation and experimentation cycles. Maintains two stores: Ideation Memory M_I (feasible/unsuccessful directions) and Experimentation Memory M_E (reusable strategies for data processing, model training, architecture, debugging). Three evolution mechanisms: IDE (after research-ideation), IVE (after experiment failure — classifies failures as implementation vs fundamental), ESE (after experiment success — extracts reusable strategies). Use when: updating memory after completing research-ideation cycles or experiment pipelines, classifying why a method failed (implementation vs fundamental failure), starting a new research cycle needing prior knowledge, user mentions 'update memory', 'classify failure', 'what worked before', 'research history', 'evolution'. Do NOT use for running experiments (use experiment-pipeline), debugging experiment code (use experiment-craft), or generating ideas (use research-ideation).

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

411

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

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