Datasets:
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Tags:
Machine Learning
Artificial Intelligence
Computer Use Agents
Reinforcement Learning
Vision-Language Models
GUI Agents
License:
| cff-version: 1.2.0 | |
| message: "This repository contains a research paper. Please cite it using the metadata in preferred-citation below." | |
| type: software # required by CFF schema — actual citation type is in preferred-citation | |
| title: "Memory Archive: A Memory-Grounded Training Paradigm for Computer Use Agents" | |
| authors: | |
| - given-names: "Kartik" | |
| name-suffix: "A." | |
| date-released: "2026-05-14" | |
| abstract: > | |
| A research analysis of the training paradigm enabled by the Memory Archive | |
| data collection system, developed as part of Project Dockyard. | |
| Memory Archive produces a structured, annotated dataset comprising per-step actuation records, | |
| process-level reasoning annotations, visual state triples, and compiled task | |
| guides called memories. This data is used across all four stages of the CUA | |
| training and deployment lifecycle: pre-training, supervised fine-tuning, | |
| post-training reinforcement, and inference-time retrieval. The central novelty | |
| is format consistency — the memory.md artifact is the same structured object | |
| at pre-training, fine-tuning, post-training, and inference time, eliminating | |
| the train-deploy distribution gap that undermines most CUA systems. | |
| keywords: | |
| - computer use agents | |
| - memory-grounded training | |
| - format consistency | |
| - reinforcement learning | |
| - retrieval-augmented execution | |
| - process supervision | |
| - vision-language models | |
| repository-code: "https://github.com/nullvoider07/memory-archive-paradigm" | |
| url: "https://github.com/nullvoider07/memory-archive-paradigm" | |
| license: CC-BY-NC-4.0 | |
| preferred-citation: | |
| type: report | |
| title: "Memory Archive: A Memory-Grounded Training Paradigm for Computer Use Agents" | |
| authors: | |
| - given-names: "Kartik" | |
| name-suffix: "A." | |
| year: 2026 | |
| institution: | |
| name: "Project Dockyard" | |
| url: "https://doi.org/10.5281/zenodo.20176599" | |
| doi: "10.5281/zenodo.20176599" | |
| notes: "Independent research. Preprint available at Zenodo." | |
| references: | |
| - type: software | |
| title: "Memory Archive" | |
| authors: | |
| - given-names: "Kartik" | |
| name-suffix: "A." | |
| url: "https://github.com/nullvoider07/Memory-Archive" | |
| notes: "The data collection system that generates the training corpus described in this paper." | |