self-evolution-module

To stop cosmetic changes on repeated agent failures, use a reflection-driven retry loop that forces material evolution of the prompt, tools, or workflow based on observed trajectories rather than minor edits.

A reflection-driven retry loop is an orchestration pattern that improves subsequent agent attempts by reflecting on observed failures, evolving prompt framing, tool surfaces, or workflow sequencing until an explicit acceptance gate is satisfied.

To evolve agent workflows when sequencing causes instability, apply workflow evolution to change the process graph, adding gates, verifiers, or parallel branches until the acceptance gate is satisfied or the attempt cap is exhausted.

Yes, you can use prompt evolution to sharpen agent success conditions, refine framing, and decompose tasks when understanding or instructions are the bottleneck, ensuring material changes by the second attempt.

An agent stops retrying before the acceptance gate is met when it hits the configured attempt cap, which defaults to 5, or if it lacks a structured reflection loop to drive continued retries until success.