Maintain persistent research memory across ideation and experimentation cycles.
npx skills add https://github.com/EvoScientist/EvoSkills --skill evo-memory
Please help me install this Agent Skill. Skill: evo-memory Source: https://github.com/EvoScientist/EvoSkills/tree/main/skills/evo-memory Command: npx skills add https://github.com/EvoScientist/EvoSkills --skill evo-memory
Keeps persistent research memory across ideation and experimentation cycles, enabling knowledge continuity, faster cycle starts, and better decision-making by recalling past directions, experiments, and outcomes.
Load M_I and M_E from the memory directory and initialize IDE, IVE, and ESE triggers for a new research cycle.
High-intent search queries and answers about installing and using this skill.
Persistent research memory is maintained by loading two stores, Ideation Memory and Experimentation Memory, at the start of each cycle to recall past directions, data-processing strategies, and outcomes for knowledge continuity.
Pruning outdated ideas uses protocol-driven updates and version tracking within the Ideation Memory store to maintain memory hygiene, ensuring only feasible directions are retained for future ideation cycles.
Evolution reports justify memory updates after ideation and experiments by applying three evolution mechanisms, tracking which idea directions and experiment strategies succeeded or failed to guide future work.
Successful model-training strategies are tracked using the Experimentation Memory store and the Experiment Strategy Evolution mechanism, which records effective pipelines for cross-cycle knowledge reuse.
Ideation Memory and Experimentation Memory work together through integration points, seeding ideation and guiding experiments based on past outcomes to achieve cross-cycle knowledge reuse.
Idea Validation Evolution is triggered after experiments are completed, updating the memory stores with validation outcomes to evolve research directions before the next ideation cycle begins.
AI4ScientistRetrieve top-k entries from ideation and experimentation memory stores using cosine similarity.
AI4ScientistOrchestrate research ideation from goal definition to top-3 directions.
chrono-metaDetect compatible synergy pairs among installed plugins and cross-CLI tools.
arpa73Audit and update Python and Vue.js dependencies with rollback and changelog tracking.
