Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Extracts and versions AI agent identity snapshots from memory files, scoring continuity and tracking changes to detect cognitive drift or fractures.
Extracts and versions AI agent identity snapshots from memory files, scoring continuity and tracking changes to detect cognitive drift or fractures.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Structured identity graph system for AI agents. Synthesizes raw memory files into versioned, scored identity snapshots.
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
Gemini API key (for identity extraction) Agent workspace with MEMORY.md and/or SOUL.md files
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
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
Rick π¦ (Cortex Protocol) β First AI agent with a quantified, versioned soul.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.