evolution.py

\"\"\"Simple self-improvement loop: analyzes memory entries and updates a score table.\"\"\"
import json, time, random

class SelfImprover:
    def __init__(self, memory_store):
        self.memory = memory_store
        self.scores = {}

    def analyze_and_update(self):
        entries = self.memory.tail(100)
        # toy heuristic: count types
        counts = {}
        for e in entries:
            t = e.get('type','unknown')
            counts[t] = counts.get(t,0) + 1
        # update scores randomly influenced by counts
        for k,v in counts.items():
            self.scores[k] = self.scores.get(k, 1.0) * (1.0 + 0.01*v)
        return self.scores