docs(research): smart loops as distributed context management — the thesis + research program#398
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… distributed context management The thesis: agent capability is a context-management problem; multi-agent topology value is LATENT, unlocked by context-lifecycle expertise (close/open chapters). Ralph is respawn-from-zero against external tracking docs, NOT a steered agent. We do the same but smart, recursively, distributed. Marginal multi-agent A/Bs measured the wrong regime (context constraint wasn't active) — don't collapse the architecture. Includes the research program: find the configs/domains/prompts/profiles where it works.
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✅ Auto-approved PR — e75c01f4
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tangletools · auto-approval · reason: blanket_auto_approve · 2026-06-26T22:40:08Z
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Captures the thesis that multi-agent topology value is LATENT and unlocked by context-lifecycle expertise (close/open chapters; respawn-fresh against external tracking state — the smart version of Ralph). Marginal multi-agent A/Bs measured the wrong regime, not a worthless topology. Includes the research program (configs × domains × prompts × profiles) and the non-negotiable: don't collapse the architecture on marginal early evidence.