A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Initial release of capability-evolver, a self-evolution engine for AI agents. - Enables agents to analyze runtime history, detect errors or inefficiencies, and autonomously evolve via code updates or memory changes. - Supports automated evolution, human-in-the-loop review mode, and continuous operation. - Introduces protocol-constrained evolution (GEP) with structured asset storage and event logging. - Environment-agnostic with support for local tool overrides and dynamic skill detection. - Includes safety protocols, risk mitigation features, and strong version management guidance.