capability-evolver

Automating AI agent maintenance involves scanning session logs to extract structured failure signals, then generating protocol-constrained evolution assets like GEP prompts to repair and optimize agent behavior. The Capability Evolver tool executes this log-driven repair workflow while maintaining an auditable trail of changes.

The GEP protocol is a mechanism for selecting or synthesizing Genes and Capsules to emit guided evolution prompts. It enables protocol-safe self-evolution by recording EvolutionEvent artifacts, ensuring that AI agent prompt modifications remain traceable and governed throughout the continuous evolution lifecycle.

Validating AI agent prompt changes safely requires running gated node/npm commands and canary checks before finalizing updates. Safe rollback is enforced through git-backed strategies, preventing unsafe modifications and ensuring that any protocol-constrained evolution can be securely reverted if validation fails.

Yes, the agent self-evolution workflow operates without external dependencies. It relies on internal scripts and assets to perform log analysis, generate GEP prompts, and execute gated validation commands using node and npm within a sandbox environment to enforce safety constraints.

Automated self-evolution is ideal for hardening flaky agent loops and encoding recurring fixes as reusable Genes. Use it when you need continuous, reviewable evolution cycles in production or development, whereas manual updates suffice for isolated, one-off prompt adjustments.