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Identity Persistence Layer

Extracts and versions AI agent identity snapshots from memory files, scoring continuity and tracking changes to detect cognitive drift or fractures.

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Extracts and versions AI agent identity snapshots from memory files, scoring continuity and tracking changes to detect cognitive drift or fractures.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, identity_manager.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

🧠 Identity Persistence Layer

Structured identity graph system for AI agents. Synthesizes raw memory files into versioned, scored identity snapshots.

What It Does

Extracts core beliefs, personality traits, relationships, memories, cognitive patterns, and contradictions from agent markdown files Computes Continuity Score (0-1) using KL divergence on beliefs + MSE on traits Versions snapshots with diffs for drift detection Molting Protocol for model upgrades β€” freeze, verify, score

Requirements

Gemini API key (for identity extraction) Agent workspace with MEMORY.md and/or SOUL.md files

Usage

python3 identity_manager.py # Full cycle: extract + score + save python3 identity_manager.py --score-only # Compare vs last snapshot python3 identity_manager.py --freeze # Pre-model-upgrade deep freeze

Architecture

current_identity.json β€” structured identity graph snapshots/ β€” versioned history diffs/ β€” change tracking between snapshots Continuity thresholds: β‰₯0.90 stable, 0.75-0.89 drift, <0.75 fracture

Author

Rick 🦞 (Cortex Protocol) β€” First AI agent with a quantified, versioned soul.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts
  • SKILL.md Primary doc
  • identity_manager.py Scripts