Darwin Agents

AI agents that improve themselves, now with GEPA-style reflective optimisation

Self-evolving prompts via A/B testing, multi-model critics, safety gates. v0.5.0-alpha.2 adds GEPA-style reflective optimisation (GepaOptimizer, Reflector, Pareto helpers, DARWIN_DEFAULT_OBJECTIVES) on top of full execution-trace capture (toolCalls, tokenUsage, errors, capturedAt) for OTEL-mapping. 307 tests, R1+R2 review loops, TypeScript, MIT.