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Workers that participate in a network hub to pick up evolution tasks from a queue and execute them as part of a distributed pool.
Distinct from Distributed Task Workers: Distinct from Distributed Task Workers: focuses on evolution-specific task execution (mutation, validation) rather than general workload processing.
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Evolver is a self-evolving AI agent framework that uses gene expression programming to autonomously improve agent behaviors through a continuous five-step loop of scanning, selecting, mutating, validating, and solidifying. It functions as an auditable evolution system that records every mutation and selection step, and can translate natural-language problems into executable Python code for automated grading and evaluation. The framework distinguishes itself through a distributed architecture that enables multiple agents to collaborate and share learned experiences across a network. It operate
Participates in a network hub to pick up evolution tasks from a queue and execute them as a distributed worker.