Evo-Memory

A persistent learning layer that accumulates research knowledge across ideation and experimentation cycles. Maintains two memory stores and implements three evolution mechanisms that feed learned patterns back into future research.

When to Use This Skill

• User has completed an research-ideation and needs to update Ideation Memory
• User has completed (or failed) an experiment-pipeline and needs to update memory
• User is starting a new research cycle and wants to load prior knowledge
• User asks about research memory, learned patterns, or cross-cycle knowledge
• User mentions "evo-memory", "update memory", "what worked before", "research history", "evolution"

The Learning Layer

Research is iterative. Each cycle — from ideation through experimentation — generates knowledge that should inform the next cycle. Without persistent memory, every new project starts from scratch, repeating mistakes and rediscovering patterns.

Evo-memory solves this by maintaining two structured memory stores and three evolution mechanisms that extract, classify, and inject knowledge across cycles.

Two Memory Stores