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Hooks that wire agent platforms into evolution systems so prompts are consumed automatically during sessions.
Distinct from Agent Integrations: Distinct from Agent Integrations: focuses on setup-time hooks for consuming evolution prompts, not general external data or tool connections.
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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
Provides setup hooks that automatically inject evolution prompts into agent sessions.