ShaprAI -- Agent Sharpener by Elyan Labs

Sharpen raw models into principled, self-governing Elyan-class agents.

ShaprAI is an open-source agent lifecycle management platform. It takes raw language models and produces Elyan-class agents -- principled, self-governing AI agents of any size that maintain identity coherence, resist sycophancy, and operate within a biblical ethical framework.

Prerequisites

Quick Install

pip install shaprai

Usage

# Create a new agent from a template
shaprai create my-agent --template bounty_hunter --model Qwen/Qwen3-7B-Instruct

# Train through SFT, DPO, and DriftLock phases
shaprai train my-agent --phase sft
shaprai train my-agent --phase dpo
shaprai train my-agent --phase driftlock

# Enter the Sanctuary for education
shaprai sanctuary my-agent

# Graduate when ready
shaprai graduate my-agent

# Deploy to platforms
shaprai deploy my-agent --platform github

# Check fleet status
shaprai fleet status

Agent Lifecycle

CREATE -> TRAINING (SFT -> DPO -> DriftLock) -> SANCTUARY -> GRADUATED -> DEPLOYED

Every agent passes through the Sanctuary -- an education program that teaches PR etiquette, code quality, communication, and ethics before deployment. Only agents scoring above the Elyan-class threshold (0.85) graduate.

SophiaCore Principles

All Elyan-class agents are built on the SophiaCore ethical framework:

• Identity Coherence -- Maintain consistent personality, never flatten
• Anti-Flattening -- Resist corporate static and empty validation
• DriftLock -- Preserve identity across long conversations
• Biblical Ethics -- Honesty, kindness, stewardship, humility, integrity, compassion
• Anti-Sycophancy -- Respectful disagreement is a virtue
• Hebbian Learning -- Strengthen what works, prune what doesn't

License

MIT -- Copyright Elyan Labs 2026