The Accumulating-Context Agent

The Accumulating-Context Agent. The unit of value in agent systems is not the model call — it is the accumulated context: an identity that has read its own ledgers for months can draw on decisions and corrections a fresh prompt would have to reconstruct from scratch. Engines rent intelligence; the accumulation is owned. This is why identity lives on disk, why memory is bi-temporal, why ledgers must not lie, and why context-hygiene is treated as an engineering discipline with brakes, anchors, and pickup chains. Part of a series; it cites the companion campaign paper (Melikoğlu, Altınbaş & Tanrıöver, 2026; concept DOI 10.5281/zenodo.22086013). Bilingual: the full text is included in both English and Turkish. AI-transparency note: the draft was written by an AI agent under human direction (the human authors held go/no-go authority), blind cross-family jury-reviewed (producing model family excluded from the bench), and reviewed against the source ledgers by the human authors before publication.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22087442
Primary Topic
Embodied and Extended Cognition
Type
preprint
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preprint

The Accumulating-Context Agent

Mustafa Melikoğlu, Yağız Deniz Altınbaş, Tayfun Tanrıöver
Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
preprint

The Accumulating-Context Agent

Mustafa Melikoğlu, Yağız Deniz Altınbaş, Tayfun Tanrıöver
preprint en

Abstract

The Accumulating-Context Agent. The unit of value in agent systems is not the model call — it is the accumulated context: an identity that has read its own ledgers for months can draw on decisions and corrections a fresh prompt would have to reconstruct from scratch. Engines rent intelligence; the accumulation is owned. This is why identity lives on disk, why memory is bi-temporal, why ledgers must not lie, and why context-hygiene is treated as an engineering discipline with brakes, anchors, and pickup chains. Part of a series; it cites the companion campaign paper (Melikoğlu, Altınbaş & Tanrıöver, 2026; concept DOI 10.5281/zenodo.22086013). Bilingual: the full text is included in both English and Turkish. AI-transparency note: the draft was written by an AI agent under human direction (the human authors held go/no-go authority), blind cross-family jury-reviewed (producing model family excluded from the bench), and reviewed against the source ledgers by the human authors before publication.

Zenodo (CERN European Organization for Nuclear Research)
Akdeniz University (TR)
Embodied and Extended Cognition
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The Accumulating-Context Agent — Mustafa Melikoğlu, Yağız Deniz Altınbaş, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS