Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Docs: add GitHub Issues support link (aoi-skills).
What This Skill Does
A plugin-free memory system for AI agents using three layers: a MEMORY.md log, dated daily notes, and structured decision notes in a context/ folder. Search is handled by ripgrep across the workspace. No external databases or sync services involved.
Because it requires no embeddings database or external service, it works in any environment where ripgrep is available and leaves no sensitive data outside the local workspace.
When to use it
- Searching past project decisions by keyword
- Logging daily work context without a plugin
- Creating tagged decision notes for architecture choices
- Reviewing what was decided about a feature last month
- Keeping a lightweight agent memory in a public or shared repo
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: find notes about the royalty rail decision
- 1Run aoi-memory search with query 'royalty rail'
- 2ripgrep scans workspace files including MEMORY.md and context/ notes
- 3Return matching lines with file paths and line numbers
- 4User opens the relevant context/ note for full details
List of matching file locations and excerpts referencing the royalty rail decision