Memory Pipeline + Performance Routine

A complete memory and performance system for AI agents. Two subsystems, one package:

• Memory Pipeline (Python scripts) — Extracts facts, builds knowledge graphs, generates daily briefings
• Performance Routine (TypeScript hooks) — Pre-game briefing injection, tool discipline, output compression, after-action review

What This Does

Memory Pipeline (Between Sessions)

A three-stage system that helps AI agents maintain long-term memory:

1. Extract — Pulls structured facts (decisions, preferences, learnings, commitments) from daily notes and session transcripts using LLM extraction
2. Link — Builds a knowledge graph with embeddings and bidirectional links between related facts, identifies contradictions
3. Briefing — Generates a compact BRIEFING.md file loaded at session start with personality reminders, active projects, recent decisions, and key context

Performance Routine (Within Sessions)