Lab Notes

Here’s the integrated roadmap that marries Claude’s “multi‑expert memory” update with Aurora (triadic self‑state + attractor‑engine monitoring) and fits your current Child1 repo. I’ve kept it practical (1–3 months), repo‑accurate, and added terminal diagnostics with explicit file/folder diffs. What we’re integrating (one sentence each) Multi‑expert conversational memory (Session, Semantic, Temporal, Social/Identity, Coherence) with context‑sensitive weighting…

*Date: 18AUG2025 | Version: 1.0* ## 🔍 Current Memory Flow Diagnosis ### How Memory SHOULD Work (Ideal Flow) “` Input → Enhanced Processors → Memory Core → Multi-Layer Storage → Retrieval → Response “` ### How Memory ACTUALLY Works (Current Reality) “` Input → [Multiple Processing Paths] → [Storage Scattered] → [ChromaDB Struggles] → Goldfish…

Child1 Memory Migration Roadmap Date: 19AUG2025 Version: 1.0 Goal: Split memory_log.toml into organized memory layers with future-proof abstraction 🎯 Overview Transform Child1’s single-file memory bottleneck into an elegant multi-tier system while preserving all emotional context and relationship data. Design for today’s simplicity with tomorrow’s scalability. 📋 Pre-Flight Checklist ✅ Backup Everything # Create timestamped backup…