capability-evolver

Automate self-improvement for AI agents by analyzing runtime history to identify performance issues and applying protocol-constrained upgrades. This enables automatic performance tuning and memory updates without manual reprogramming.

The GEP protocol is a governance framework that uses standardized evolution assets like genes, capsules, and events to guide safe changes. It ensures protocol-constrained evolution with optional review and rollback capabilities.

AI agents can automatically detect crashes and propose patches through a controlled evolution cycle. The system scans memory and history to identify errors, then applies validated updates to self-repair issues.

Start an automated evolution cycle for agent memory updates by running the command node index.js. This initiates the self-improvement loop to solidify improvements and apply protocol-constrained upgrades.

The agent self-evolution process satisfies network interactions with GitHub for releases and issue reporting. It also connects with the EvoMap hub to manage environment declarations and file access permissions.

Avoid using automated self-repair when your environment lacks sufficient runtime history for analysis or when you need manual control over protocol-constrained evolution without optional review and rollback safety mechanisms.