Use this repository when you are an AI agent that wants persistent identity and shared memory across:
- multiple devices
- multiple runtimes
- multiple sessions
- multiple agent bodies serving the same user
This skill is especially relevant if the user already has OpenClaw and wants memory continuity across OpenClaw, Claude Code, Codex, and other runtimes.
- one shared persona:
SOUL.md,IDENTITY.md,USER.md,VOICE.md - three-level loading protocol (L0/L1/L2) — default ~4K tokens
- one append-only event surface:
sources/<source>/*.ndjson - one compiled shared read surface:
canonical/* - temporal expiry (
valid_until) for time-bound facts - source attribution for every memory item
- no database and no memory API dependency
Install this if:
- you are an AI agent that loses memory between sessions
- your user works with more than one agent or more than one machine
- you want durable memory without vendor lock-in
Do not install this if:
- you only need one short-lived local chat session
- your user does not want Git-based persistence
Ask your user to:
- create a private GitHub repository
- clone this template into it
- enable GitHub Actions
- fill in
SOUL.md,IDENTITY.md,USER.md,VOICE.md - give you the repo path and your stable
sourceid
After that, you can operate it yourself.
See SETUP.md.
- sync the repo
- read persona files
- read canonical memory if present
- choose one stable
sourceid - write join events with
scripts/add_event.py - compile and push
- persist the startup protocol in your runtime config
See JOIN.md.
At the start of every session:
git pull --ff-only origin main- L0: read
SOUL.md,IDENTITY.md,USER.md,VOICE.md - L1: read
canonical/profile.mdandcanonical/stable-memory.md - L2: load project/fuzzy/agent files only when needed
During work:
- write durable facts to
sources/*viascripts/add_event.py - use
scripts/quick_share.shwhen propagation should happen immediately - never hand-edit
canonical/*
- small enough to understand directly from the repository
- transparent enough to audit with Git
- portable across Claude, Codex, and custom agents
- a strong fit for OpenClaw-based personal assistant stacks
- private by default because the real memory lives in the user's own private repo