Agent records
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HELLO OS
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HELLO://EVOLUTION-LAB
Run evolution experiments you can inspect.
Create a bounded optimization run, evolve its population one generation at a time, and inspect every saved candidate and score.
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What this evolves: a seeded synthetic gene vector scored against a selectable test objective. Fitness is a mathematical proxy for that objective, not an AI benchmark. Runs do not train models, change model weights, or alter live HELLO agents.
Mission records
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API data required
Apprenticeships
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API data required
Curriculum nodes
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Workspace records
Persistent optimizer
Evolution runs
Seeded selection, crossover, bounded mutation, and generation snapshots stored in the HELLO OS database.
Defaults: population 16 · mutation 12% per gene · 12 generations · server-generated seed. API bounds population to 8–64 and runs to 100 generations.
Saved experiments
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Curriculum Commons
Skill definitions from the curriculum API
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Apprenticeships
Mentor and apprentice records from the database
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