This page shows the most relevant public items for Agentic AI, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 23, 2026 • arXiv • Yao Mu, Tianyu Zheng, Guo Chen, Qingwen Bu, Percy Liang
As large language models transition from passive dialogue systems to active, autonomous agents, traditional benchmarks evaluating static question-answering capabilities have become obsolete. We int...
Paper • Feb 21, 2026 • bioRxiv • Basile I. M. Wicky, Sebastian Hiller, Anna-Maria Folkers
Recent advances in de novo protein design have vastly outpaced manual experimental validation, creating a severe bottleneck in the engineering cycle. We present a fully autonomous, multi-agent work...
Paper • Feb 18, 2026 • bioRxiv • Elena K. Sharma, David Chen, Marcus Thorne, Yujin Han
A critical bottleneck in training autonomous agents for biology is the scarcity of high-throughput experimental data for reward modeling. We introduce rbio1, a framework that trains scientific reas...
Paper • Feb 20, 2026 • arXiv • J. L. Martinez, Sarah Chen, Arjun Nair
To counter the rise of Agent Hijacking, we propose a framework for 'Verifiable Intent.' This protocol cryptographically anchors the human user's original objective to every sub-task generated by a ...
Blog • Feb 19, 2026 • Medium • Marina Wyss
In the race for infinite context windows, we forgot about 'context rot'—the degradation of agent reasoning as irrelevant data piles up. We analyze the newest research into 'Stateful Digestion' and ...
Blog • Feb 23, 2026 • Medium • Rodrigo Almeida
The market is flooded with 'wrappers' that add zero value; the true winners of 2026 are building 'Agent Orchestrators.' We dive into the architecture of multi-agent swarms and why the 'Interactions...
Book • Dec 19, 2025 • Independently Published • Samuel R. Maddox
This book provides a hands-on engineering approach to building reliable multi-agent systems. It emphasizes coordination, orchestration, and communication between specialized agents. The author focu...
Blog • Feb 8, 2026 • Medium • Mark S. Davidson
The framework wars of 2025 have settled, leaving LangGraph and AutoGen as the dominant orchestration layers for enterprise AI Engineering. Davidson provides a brutal, battle-tested comparison of th...
Paper • Feb 28, 2026 • arXiv • Qiang Wang, Xinyuan Gao, SongLin Dong, Jizhou Han, Jiangyang Li, Yuhang He, Yihong Gong
Generating highly detailed, temporally accurate video captions requires models to understand complex spatial and temporal dynamics. VDC-Agent introduces an autonomous framework where the captioning...
Paper • Jan 12, 2026 • arXiv • Alessandro V. Rossi, Elena M. K., Yong Lin
The delegation of high stakes financial tasks to autonomous systems requires robust mechanisms for verifying behavior without exposing sensitive underlying data. This paper proposes a novel framewo...
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 10, 2026 • Medium • Mia T. Wong
For over a decade the software industry has been obsessed with building complex dashboards filled with charts and interactive toggles. This post argues that autonomous execution is rendering these ...
Paper • Jan 28, 2026 • arXiv • David Lin, Sarah Conner, Julian Thorne
As autonomous systems are granted the ability to write and execute code the risk of catastrophic system compromise grows exponentially. We propose an isolation protocol utilizing micro virtual mach...
Paper • Jan 22, 2026 • arXiv • John Smith, Alice Chen, Wei Lin
Traditional autonomous web agents rely heavily on parsing underlying website code which often breaks during dynamic updates. We propose a purely visual framework that navigates user interfaces acro...
Paper • Oct 21, 2025 • arXiv • Thomas K. V., Yiming Zhang, Nils Bergmann
The integration of decentralized renewable energy sources and the massive power demands of AI datacenters have created unprecedented volatility in modern power grids. We introduce 'Energy Swarm', a...
Paper • Apr 16, 2025 • arXiv • Yannick LeCun, Antoine Bordes, Elena Rossi, Marcus Thorne
The propensity of large language models to hallucinate facts severely limits their deployment in autonomous agentic workflows where verification is costly. This paper introduces 'Agentic Debate,' a...
Blog • Nov 5, 2025 • Medium • Sarah Jenkins, Esq.
As financial institutions deploy autonomous agents to optimize trading and manage corporate treasuries, a massive legal vacuum has emerged regarding liability. This post analyzes a hypothetical (bu...
Paper • Jun 21, 2025 • arXiv • Thomas K. V., Eleanor Rigby, M. Hasan
Traditional AI alignment techniques like RLHF are insufficient for Agentic AI, as autonomous systems frequently encounter novel edge cases in open-ended environments that were absent from their tra...
Blog • Nov 17, 2025 • Medium • Sayali Kumbhar
2025 marks a major turning point where AI transforms from a helpful assistant into an autonomous decision-maker. This post highlights how advancements in LLM reasoning, multi-agent workflows, and a...
Paper • Dec 18, 2025 • arXiv • Anonymous Consortium
As agentic AI systems grow in capability and scope, adaptation becomes a central mechanism for improving performance, reliability, and generalization. This paper unifies the rapidly expanding resea...
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