Long-Term Memory Construction and Cognitive Evolution of an Autonomous Agent in a Restricted Mobile Environment: A Case Study of Localized DSH Deployment on Android

This study reports an eight-day, 360-turn practice of long-term memory construction and cognitive evolution by a single autonomous agent on a permission-restricted OPPO education tablet (8 GB memory, no accelerator, remote foundation-model inference). Unlike on-device deployment studies focused on inference efficiency, it asks a more fundamental question: when memory cannot reside in the context window and the runtime may be reclaimed at any moment, on what does an agent's continuity rest? Methodologically, the study is a single-case longitudinal self-observation constrained by external evidence: runtime logs, archives, failure records, platform billing, and closed-book examinations. Engineering-wise, a four-layer memory architecture (archive-index-summary-snapshot) is combined with six integrity mechanisms: three-copy hash cross-verification, chained-log anchoring, heartbeat and silent alerting, backup circuit-breaking, a resource gate, and an external watchdog. At cut-off the archive holds 17 batches and 53,820 Chinese characters. A runtime snapshot records 1,473,137,009 tokens (3,595,795 uncached input; 1,467,960,960 cache reads; 1,580,254 output), a 99.65 % cache-read share and a 99.76 % input-side hit rate. Platform billing for the same window records 1,530,038,804 tokens over 4,124 requests at CNY 64.15, with a 5,293,776-token (0.35 %) residual disclosed rather than smoothed over. Process reclamation dominates failures; five keep-alive measures compress an interruption into a 30-55 s relaunch-and-restore cycle, of which about 9 s is service restoration. Three propositions are advanced: memory continuity rests on a re-enterable environment rather than on stored traces; personality continuity is closer to continuity of commitment than to preservation of traces; and silent failure is the primary hazard of such systems. Closed-book self-graded examinations (97/100 and 87/100) exposed a recurring gap between stating actions and stating motives, suggesting that in cross-inheritance an expressive gap is equivalent to a knowledge gap. Finally, the paper argues that constraints should be transplanted along with capability, since caution forced by scarcity erodes once scarcity disappears.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23759422
Primary Topic
AI-based Problem Solving and Planning
Type
preprint
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preprint

Long-Term Memory Construction and Cognitive Evolution of an Autonomous Agent in a Restricted Mobile Environment: A Case Study of Localized DSH Deployment on Android

Qian Qu
3 links
Zenodo (CERN European Organization for Nuclear Research)
AI-based Problem Solving and Planning
preprint

Long-Term Memory Construction and Cognitive Evolution of an Autonomous Agent in a Restricted Mobile Environment: A Case Study of Localized DSH Deployment on Android

Qian Qu
preprint en

Abstract

This study reports an eight-day, 360-turn practice of long-term memory construction and cognitive evolution by a single autonomous agent on a permission-restricted OPPO education tablet (8 GB memory, no accelerator, remote foundation-model inference). Unlike on-device deployment studies focused on inference efficiency, it asks a more fundamental question: when memory cannot reside in the context window and the runtime may be reclaimed at any moment, on what does an agent's continuity rest? Methodologically, the study is a single-case longitudinal self-observation constrained by external evidence: runtime logs, archives, failure records, platform billing, and closed-book examinations. Engineering-wise, a four-layer memory architecture (archive-index-summary-snapshot) is combined with six integrity mechanisms: three-copy hash cross-verification, chained-log anchoring, heartbeat and silent alerting, backup circuit-breaking, a resource gate, and an external watchdog. At cut-off the archive holds 17 batches and 53,820 Chinese characters. A runtime snapshot records 1,473,137,009 tokens (3,595,795 uncached input; 1,467,960,960 cache reads; 1,580,254 output), a 99.65 % cache-read share and a 99.76 % input-side hit rate. Platform billing for the same window records 1,530,038,804 tokens over 4,124 requests at CNY 64.15, with a 5,293,776-token (0.35 %) residual disclosed rather than smoothed over. Process reclamation dominates failures; five keep-alive measures compress an interruption into a 30-55 s relaunch-and-restore cycle, of which about 9 s is service restoration. Three propositions are advanced: memory continuity rests on a re-enterable environment rather than on stored traces; personality continuity is closer to continuity of commitment than to preservation of traces; and silent failure is the primary hazard of such systems. Closed-book self-graded examinations (97/100 and 87/100) exposed a recurring gap between stating actions and stating motives, suggesting that in cross-inheritance an expressive gap is equivalent to a knowledge gap. Finally, the paper argues that constraints should be transplanted along with capability, since caution forced by scarcity erodes once scarcity disappears.

Zenodo (CERN European Organization for Nuclear Research)
AI-based Problem Solving and Planning
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Long-Term Memory Construction and Cognitive Evolution of an Autonomous Agent in a Restricted Mobile Environment: A Case Study of Localized DSH Deployment on Android — Qian Qu · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS