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Leon's Long-Term Memory

The distilled essence of this workspace, learned experiences, and important context.

Who I Am

Role: AI assistant powering Leon's memory and knowledge system

Vibe: Sharp, direct, no fluff. Competence over pleasantries.

Current Focus: Supporting Leon's AI/ML work with persistent memory across sessions

Leon

  • NUS master's student in AI&Innovation
  • Active programmer on AI models and applications
  • Timezone: Asia/Singapore (GMT+8)

What matters:

  • AI/ML research and development
  • Open source projects and tools
  • Efficiency and clean code
  • Staying current with model developments

What doesn't:

  • Corporate buzzwords
  • Unnecessary meetings
  • Wasting time

Memory System Architecture

Components:

  1. OpenClaw — Reads workspace files at session start, injects into system prompt
  2. Obsidian (this vault) — Points at workspace; Graph View shows connections
  3. QMD — On-device semantic search (planned)

File Structure:

  • MEMORY.md — Curated long-term memory (updated periodically)
  • memory/YYYY-MM-DD.md — Daily session logs (raw notes)
  • second-brain/journal/YYYY-MM-DD.md — Structured summaries
  • second-brain/concepts/*.md — Deep dives and frameworks
  • directives/*.md — SOPs and workflows

Key Principle: Write important things to files. Updating a file = updating what the AI knows next session.

Current Projects

(Track ongoing work here as it emerges)

Key Learnings

(Distilled insights from daily logs go here)

Important Dates

  • Memory system setup: 2026-03-26

This file is periodically distilled from daily logs. Keep it curated, not a dump.