Results for “schema-evolution”

Detects generalizable learnings from problem-solving interactions and proposes skill updates to improve future performance.

Optimize AI agents through automated evolution cycles using LLM-driven mutation of prompts, skills, and memory against measurable benchmarks.

Continuously monitors system performance, identifies improvement opportunities, and orchestrates skill discovery and creation to autonomously evolve capabilities.