What problem does it solve?
This Skill gives long-running Agent work a durable, inspectable memory layer so important facts, daily progress, and lasting lessons are not lost between sessions. It is designed to replace ad hoc notes and unsafe full-transcript retention with a structured, reviewable memory system.
Core Features & Use Cases
- Three-layer memory model: Stores structured facts in Layer 1, daily notes in Layer 2, and durable tacit knowledge in Layer 3.
- Cross-session continuity: Loads only bounded, relevant memory so new sessions can resume context without flooding the prompt.
- Legacy migration and review: Migrates old .claude/memory data, checks for conflicts or duplicates, and supports explicit promotion to superseded status.
- Platform-neutral operation: Works with Claude Code and Codex through Hooks, while still supporting a manual core for other hosts.
- Use case: A team can keep project decisions, recurring implementation details, and daily progress synchronized across multiple agent sessions without relying on raw chat logs.
Quick Start
Ask the Skill to initialize or load the project memory, then record only confirmed facts or migrate legacy .claude/memory data when you need a clean, platform-neutral memory tree.