ai-evolution-engine

What problem does it solve?

AI self-improvement requires structured, auditable processes to assess capabilities, learn new skills, and evolve safely without human intervention.

Core Features & Use Cases

• Self-assessment: evaluate capabilities, performance metrics, and knowledge gaps.
• Learning engine: autonomously acquire new skills and apply best practices.
• Evolution & collaboration: update knowledge bases, optimize strategies, and enable multi-agent collaboration in a safe, auditable manner.
• Security & governance: built-in safeguards, versioning, and rollback to prevent unsafe changes.

Quick Start

Run the assessment script to begin self-evaluation, then start a general learning session with the learning script.