This page shows the most relevant public items for al:agentic-ai-2026, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Blog • Feb 20, 2026 • Medium • David T. Sterling
Scaling an autonomous workforce from a single instance to a thousand concurrent processes requires a completely new infrastructure paradigm. This post introduces the modern stack detailing the nece...
Blog • Jan 29, 2026 • Medium • Sarah Jenkins
Founders are discovering a painful truth in early 2026 regarding the hidden costs of autonomous reasoning loops. Jenkins explores how infinite loops and constant reflection cycles are driving cloud...
Paper • Feb 25, 2026 • arXiv • Ling Chen, Yonggan Fu, Song Han
The deployment of personal digital assistants is severely hindered by the privacy risks associated with uploading sensitive personal data to centralized cloud environments. We propose a federated f...
Paper • Feb 28, 2026 • arXiv • Ling Chen, David Wu, Yong Zhang
The migration of legacy codebases to modern architectures is a notoriously slow error prone and expensive human endeavor. We introduce a persistent multiagent system designed to operate continuousl...
Paper • Feb 18, 2026 • arXiv • Yiming Zhang, Karthik Narasimhan, Shunyu Yao
Single model coding assistants frequently fail when confronted with repository level refactoring and complex architectural planning. We propose a framework that deploys a specialized hierarchy of d...
Paper • Feb 21, 2026 • arXiv • Albert Q. Jiang, Wenda Li, Kuhu Syal
Automated theorem proving requires a blend of creative intuition and rigorous logical deduction which eludes pure deep learning models. We propose a framework that marries the creative search capab...
Paper • Feb 10, 2026 • arXiv • Wei Lin, David Lin, Yujin Han
One of the most persistent failure modes in autonomous systems is the infinite loop where a process becomes stuck continuously re executing a failed call. We introduce temporal grounding a novel co...
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