Tootfinder

A look at 10 AI agent startups from YC's first-ever spring Demo Day; the batch included 144 companies, 70 of which focused on agentic AI (Samantha Stokes/Business Insider)
https://africa.businessinsider.com/new

The 10 most exciting AI agent startups at Y Combinator's Demo Day for its first-ever spring cohort
Christmas came early for Y Combinator

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN
Ilias Chatzistefanidis, Andrea Leone, Ali Yaghoubian, Mikel Irazabal, Sehad Nassim, Lina Bariah, Merouane Debbah, Navid Nikaein
https://arxiv.org/abs/2508.09197

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN
Future 6G radio access networks (RANs) will be artificial intelligence (AI)-native: observed, reasoned about, and re-configured by autonomous agents cooperating across the cloud-edge continuum. We introduce MX-AI, the first end-to-end agentic system that (i) instruments a live 5G Open RAN testbed based on OpenAirInterface (OAI) and FlexRIC, (ii) deploys a graph of Large-Language-Model (LLM)-powered agents inside the Service Management and Orchestration (SMO) layer, and (iii) exposes both observ…

Microsoft Windows head Pavan Davuluri says the next Windows version will be more ambient, pervasive and multi-modal, with voice becoming more important (Zac Bowden/Windows Central)
https://www.windowscentral.com/microsoft/w

Microsoft's Windows lead says the next version of Windows will be "more ambient, pervasive, and multi-modal" as AI redefines the desktop interface
In a new video, Microsoft CVP and Windows boss Pavan Davuluri has teased that the future of Windows will consist of a truly ambient and multi-modal experience made possible by AI that will redefine our usage of computers.

AI Agents and the Law
Mark O. Riedl, Deven R. Desai
https://arxiv.org/abs/2508.08544 https://arxiv.org/pdf/2508.08544…

AI Agents and the Law
As AI becomes more "agentic," it faces technical and socio-legal issues it must address if it is to fulfill its promise of increased economic productivity and efficiency. This paper uses technical and legal perspectives to explain how things change when AI systems start being able to directly execute tasks on behalf of a user. We show how technical conceptions of agents track some, but not all, socio-legal conceptions of agency. That is, both computer science and the law recognize the problems …

Moonshot's Kimi K2 uses a 1T-parameter MoE architecture with 32B active parameters and outperforms models like GPT-4.1 and DeepSeek-V3 on key benchmarks (Michael Nuñez/VentureBeat)
https://venturebeat.com/ai/moonshot-ais-kimi-k2-outperfor…

Moonshot AI’s Kimi K2 outperforms GPT-4 in key benchmarks — and it’s free
Chinese AI startup Moonshot releases open-source Kimi K2 model that outperforms OpenAI and Anthropic on coding tasks with breakthrough agentic capabilities and competitive pricing.

Agentic Document Extraction – #Python Library for Complex Document Processing 📄
powered by https://landing.ai
🔍 Extracts structured data from complex documents with tables, pictures & charts - retu…

Co-Investigator AI: The Rise of Agentic AI for Smarter, Trustworthy AML Compliance Narratives
Prathamesh Vasudeo Naik, Naresh Kumar Dintakurthi, Zhanghao Hu, Yue Wang, Robby Qiu
https://arxiv.org/abs/2509.08380

Co-Investigator AI: The Rise of Agentic AI for Smarter, Trustworthy AML Compliance Narratives
Generating regulatorily compliant Suspicious Activity Report (SAR) remains a high-cost, low-scalability bottleneck in Anti-Money Laundering (AML) workflows. While large language models (LLMs) offer promising fluency, they suffer from factual hallucination, limited crime typology alignment, and poor explainability -- posing unacceptable risks in compliance-critical domains. This paper introduces Co-Investigator AI, an agentic framework optimized to produce Suspicious Activity Reports (SARs) sign…

Despite the country's financial straits, this is a wonderful time to be a technologist in government, according to Paul Mukherjee, CTO of the UK Department for Environment, Food and Rural Affairs (Defra).
https://www.computing.co.uk/news/2025/ai/g

Government CTO: 'I had a lightbulb moment with agentic AI'
Defra’s CTO believes AI may help government thinking move from processes to outcomes, while agents could assist in complex technical tasks like cloud migrations.

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey
Yang Lu, Shengli Zhang, Chang Liu, Ruichen Zhang, Bo Ai, Dusit Niyato, Wei Ni, Xianbin Wang, Abbas Jamalipour
https://arxiv.org/abs/2508.08620

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey
The rapid advancement of communication technologies has driven the evolution of communication networks towards both high-dimensional resource utilization and multifunctional integration. This evolving complexity poses significant challenges in designing communication networks to satisfy the growing quality-of-service and time sensitivity of mobile applications in dynamic environments. Graph neural networks (GNNs) have emerged as fundamental deep learning (DL) models for complex communication ne…

#AIForensics' study (07/2025) reveals how AI-generated content floods #TikTok & #Instagram, with platforms failing to adequately label synthetic material.
>

AI Generated Algorithmic Virality
This investigation systematically analyzes AI-generated content across TikTok and Instagram in three European countries. We found that 25% of TikTok's top search results contain synthetic AI imagery, with over 80% produced by "Agentic AI Accounts." Despite platforms' DSA commitments, only half of AI content receives proper labeling, creating significant risks for users.

Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference
Haoran Wu, Can Xiao, Jiayi Nie, Xuan Guo, Binglei Lou, Jeffrey T. H. Wong, Zhiwen Mo, Cheng Zhang, Przemyslaw Forys, Wayne Luk, Hongxiang Fan, Jianyi Cheng, Timothy M. Jones, Rika Antonova, Robert Mullins, Aaron Zhao
https://arxiv.org/abs/2509.09505

Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference
LLMs now form the backbone of AI agents for a diverse array of applications, including tool use, command-line agents, and web or computer use agents. These agentic LLM inference tasks are fundamentally different from chatbot-focused inference -- they often have much larger context lengths to capture complex, prolonged inputs, such as entire webpage DOMs or complicated tool call trajectories. This, in turn, generates significant off-chip memory traffic for the underlying hardware at the inferenc…

LightAgent: Production-level Open-source Agentic AI Framework
Weige Cai, Tong Zhu, Jinyi Niu, Ruiqi Hu, Lingyao Li, Tenglong Wang, Xiaowu Dai, Weining Shen, Liwen Zhang
https://arxiv.org/abs/2509.09292

LightAgent: Production-level Open-source Agentic AI Framework
With the rapid advancement of large language models (LLMs), Multi-agent Systems (MAS) have achieved significant progress in various application scenarios. However, substantial challenges remain in designing versatile, robust, and efficient platforms for agent deployment. To address these limitations, we propose \textbf{LightAgent}, a lightweight yet powerful agentic framework, effectively resolving the trade-off between flexibility and simplicity found in existing frameworks. LightAgent integra…

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
Souza, Gueroudji, DeWitt, Rosendo, Ghosal, Ross, Balaprakash, da Silva

Agoran: An Agentic Open Marketplace for 6G RAN Automation
Ilias Chatzistefanidis, Navid Nikaein, Andrea Leone, Ali Maatouk, Leandros Tassioulas, Roberto Morabito, Ioannis Pitsiorlas, Marios Kountouris
https://arxiv.org/abs/2508.09159

Agoran: An Agentic Open Marketplace for 6G RAN Automation
Next-generation mobile networks must reconcile the often-conflicting goals of multiple service owners. However, today's network slice controllers remain rigid, policy-bound, and unaware of the business context. We introduce Agoran Service and Resource Broker (SRB), an agentic marketplace that brings stakeholders directly into the operational loop. Inspired by the ancient Greek agora, Agoran distributes authority across three autonomous AI branches: a Legislative branch that answers compliance q…

Goldman Sachs CTO Marco Argenti says the bank is "going to start augmenting our workforce with Devin", Cognition's AI coding assistant, as Wall Street adopts AI (Hugh Son/CNBC)
https://www.cnbc.com/2025/07/11/goldman-sachs-auto…

Goldman Sachs is piloting its first autonomous coder in major AI milestone for Wall Street
The arrival of agentic AI at Goldman Sachs, in which programs don't just help with tasks but execute complex jobs, signals a shift on Wall Street.

An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems
Saakaar Bhatnagar
https://arxiv.org/abs/2509.07283 https://

An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems
Parameter identification for mechanistic Ordinary Differential Equation (ODE) models underpins prediction and control in several applications, yet remains a labor-intensive and brittle process: datasets are noisy and partial, models can be stiff or misspecified, and differentiable implementations demand framework expertise. An agentic AI workflow is presented that converts a lightweight, human-readable specification into a compiled, parallel, and differentiable calibration pipeline. Users suppl…

Open Webinar IIP – 16 settembre 2025 – Come cambia il diritto dei dati con l’Agentic AI
https://www.istitutoitalianoprivacy.it/2025/09/08/open-webinar-iip-16-settembre-2025-come-cambia-il-diritto-dei-dati-co…

AgentX: Towards Orchestrating Robust Agentic Workflow Patterns with FaaS-hosted MCP Services
Shiva Sai Krishna Anand Tokal, Vaibhav Jha, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan
https://arxiv.org/abs/2509.07595

AgentX: Towards Orchestrating Robust Agentic Workflow Patterns with FaaS-hosted MCP Services
Generative Artificial Intelligence (GenAI) has rapidly transformed various fields including code generation, text summarization, image generation and so on. Agentic AI is a recent evolution that further advances this by coupling the decision making and generative capabilities of LLMs with actions that can be performed using tools. While seemingly powerful, Agentic systems often struggle when faced with numerous tools, complex multi-step tasks,and long-context management to track history and avo…

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web
Sree Bhargavi Balija, Rekha Singal, Abhishek Singh, Ramesh Raskar, Erfan Darzi, Raghu Bala, Thomas Hardjono, Ken Huang
https://arxiv.org/abs/2507.07901

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web
The fragmentation of AI agent ecosystems has created urgent demands for interoperability, trust, and economic coordination that current protocols -- including MCP (Hou et al., 2025), A2A (Habler et al., 2025), ACP (Liu et al., 2025), and Cisco's AGP (Edwards, 2025) -- cannot address at scale. We present the Nanda Unified Architecture, a decentralized framework built around three core innovations: fast DID-based agent discovery through distributed registries, semantic agent cards with verifiable…

Is the client vendor now responsible for you getting scammed when their agent gives away your financial information to scam sites?
https://guard.io/labs/scamlexity-we-put-agentic-ai-browsers-to-the-test-they-clicked-they-paid-they-fa…

"Scamlexity": When Agentic AI Browsers Get Scammed
We Put Agentic AI Browsers to the Test - They Clicked, They Paid, They Failed

Interesting and worrying article by Marcus and Hamiel going over recent work exploring the very serious security weaknesses of agentic AI:
https://garymarcus.substack.com/p/llms-coding-agents-security-nightmare

LLMs + Coding Agents = Security Nightmare
Things are about to get wild

🌟 Real-World Impact
Companies are already seeing incredible results: • Goldman Sachs piloting autonomous AI coders • Developer tools integrating for enhanced productivity • Research institutions building custom agentic systems • Startups leveraging cost-effective AI infrastructure 🏢

Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
Sahar Salimpour, Lei Fu, Farhad Keramat, Leonardo Militano, Giovanni Toffetti, Harry Edelman, Jorge Pe\~na Queralta
https://arxiv.org/abs/2508.05294

Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
Foundation models, including large language models (LLMs) and vision-language models (VLMs), have recently enabled novel approaches to robot autonomy and human-robot interfaces. In parallel, vision-language-action models (VLAs) or large behavior models (BLMs) are increasing the dexterity and capabilities of robotic systems. This survey paper focuses on those words advancing towards agentic applications and architectures. This includes initial efforts exploring GPT-style interfaces to tooling, a…

"AI Generated Algorithmic Virality"
https://aiforensics.org/work/gen-ai-slop
A recent report by
@…
🔹 "25% of…

AI Generated Algorithmic Virality
This investigation systematically analyzes AI-generated content across TikTok and Instagram in three European countries. We found that 25% of TikTok's top search results contain synthetic AI imagery, with over 80% produced by "Agentic AI Accounts." Despite platforms' DSA commitments, only half of AI content receives proper labeling, creating significant risks for users.

Guard [.] io says a new era of scam complexity is on the way because AI-powered browsers can interact with phishing pages and malicious prompts without human detection.
https://guard.io/labs/scamlexity-we-put-agentic-ai-browsers-to-t…

"Scamlexity": When Agentic AI Browsers Get Scammed
We Put Agentic AI Browsers to the Test - They Clicked, They Paid, They Failed

The US DOD announces OpenAI, Google, Anthropic, and xAI have won DOD contracts, each with a $200M ceiling, aimed at enabling agentic AI workflows and more (Deborah Sophia/Reuters)
https://www.reuters.com/business/autos-trans…

Agentic AI in 6G Software Businesses: A Layered Maturity Model
Muhammad Zohaib, Muhammad Azeem Akbar, Sami Hyrynsalmi, Arif Ali Khan
https://arxiv.org/abs/2508.03393 https://

Agentic AI in 6G Software Businesses: A Layered Maturity Model
The emergence of agentic AI systems in 6G software businesses presents both strategic opportunities and significant challenges. While such systems promise increased autonomy, scalability, and intelligent decision-making across distributed environments, their adoption raises concerns regarding technical immaturity, integration complexity, organizational readiness, and performance-cost trade-offs. In this study, we conducted a preliminary thematic mapping to identify factors influencing the adopt…

Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective
Bui Duc Manh, Soumyaratna Debnath, Zetong Zhang, Shriram Damodaran, Arvind Kumar, Yueyi Zhang, Lu Mi, Erik Cambria, Lin Wang
https://arxiv.org/abs/2509.09154

Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective
Recent advances in agentic AI have led to systems capable of autonomous task execution and language-based reasoning, yet their spatial reasoning abilities remain limited and underexplored, largely constrained to symbolic and sequential processing. In contrast, human spatial intelligence, rooted in integrated multisensory perception, spatial memory, and cognitive maps, enables flexible, context-aware decision-making in unstructured environments. Therefore, bridging this gap is critical for advan…

Agentic DDQN-Based Scheduling for Licensed and Unlicensed Band Allocation in Sidelink Networks
Po-Heng Chou, Pin-Qi Fu, Walid Saad, Li-Chun Wang
https://arxiv.org/abs/2509.06775

Agentic DDQN-Based Scheduling for Licensed and Unlicensed Band Allocation in Sidelink Networks
This paper presents an agentic artificial intelligence (AI)-driven double deep Q-network (DDQN) scheduling framework for licensed and unlicensed band allocation in New Radio (NR) sidelink (SL) networks. SL must share licensed spectrum with cellular communications (CC) and unlicensed bands with Wi-Fi, posing significant challenges for coexistence. Unlike prior rule-based or threshold-based methods, the proposed agentic scheduler autonomously perceives queueing dynamics, channel conditions, and c…

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks
Alaa Saleh, Roberto Morabito, Sasu Tarkoma, Anders Lindgren, Susanna Pirttikangas, Lauri Lov\'en
https://arxiv.org/abs/2508.09147

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks
As 6G networks evolve into increasingly AI-driven, user-centric ecosystems, traditional reactive handover mechanisms demonstrate limitations, especially in mobile edge computing and autonomous agent-based service scenarios. This manuscript introduces WAAN, a cross-layer framework that enables intent-aware and proactive handovers by embedding lightweight TinyML agents as autonomous, negotiation-capable entities across heterogeneous edge nodes that contribute to intent propagation and network ada…

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Hashim Hayat, Maksim Kudrautsau, Evgeniy Makarov, Vlad Melnichenko, Tim Tsykunou, Piotr Varaksin, Matt Pavelle, Adam Z. Oskowitz
https://arxiv.org/abs/2507.22902

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Background: Globally we face a projected shortage of 11 million healthcare practitioners by 2030, and administrative burden consumes 50% of clinical time. Artificial intelligence (AI) has the potential to help alleviate these problems. However, no end-to-end autonomous large language model (LLM)-based AI system has been rigorously evaluated in real-world clinical practice. In this study, we evaluated whether a multi-agent LLM-based AI framework can function autonomously as an AI doctor in a vir…

EnvX: Agentize Everything with Agentic AI
Linyao Chen, Zimian Peng, Yingxuan Yang, Yikun Wang, Wenzheng Tom Tang, Hiroki H. Kobayashi, Weinan Zhang
https://arxiv.org/abs/2509.08088

EnvX: Agentize Everything with Agentic AI
The widespread availability of open-source repositories has led to a vast collection of reusable software components, yet their utilization remains manual, error-prone, and disconnected. Developers must navigate documentation, understand APIs, and write integration code, creating significant barriers to efficient software reuse. To address this, we present EnvX, a framework that leverages Agentic AI to agentize GitHub repositories, transforming them into intelligent, autonomous agents capable o…

They say "agentic AI", I think "self-driving bot". It helps me focus on what's actually being proposed beyond the expression I loathe.

So, @… is working on using LLMs to process XML Except for, the models can’t write legal XML. So he’s using the model to generate a sloppy-XML parser: https://lucumr.pocoo.org/202…

My First Open Source AI Generated Library
In a first for me, I published some agentic programmed AI slop to PyPI.

Towards Postmortem Data Management Principles for Generative AI
Ismat Jarin, Elina Van Kempen, Chloe Georgiou
https://arxiv.org/abs/2509.07375 https://arxi…

Towards Postmortem Data Management Principles for Generative AI
Foundation models, large language models (LLMs), and agentic AI systems rely heavily on vast corpora of user data. The use of such data for training has raised persistent concerns around ownership, copyright, and potential harms. In this work, we explore a related but less examined dimension: the ownership rights of data belonging to deceased individuals. We examine the current landscape of post-mortem data management and privacy rights as defined by the privacy policies of major technology com…

Research by Anthropic how GenAI models blackmail in laboratory situations. Underlines the importance of checks and human oversight.
#AI

Agentic Misalignment: How LLMs could be insider threats
New research on simulated blackmail, industrial espionage, and other misaligned behaviors in LLMs

Agentic large language models improve retrieval-based radiology question answering
Sebastian Wind, Jeta Sopa, Daniel Truhn, Mahshad Lotfinia, Tri-Thien Nguyen, Keno Bressem, Lisa Adams, Mirabela Rusu, Harald K\"ostler, Gerhard Wellein, Andreas Maier, Soroosh Tayebi Arasteh
https://arxiv.org/abs/2508.00743

Agentic large language models improve retrieval-based radiology question answering
Clinical decision-making in radiology increasingly benefits from artificial intelligence (AI), particularly through large language models (LLMs). However, traditional retrieval-augmented generation (RAG) systems for radiology question answering (QA) typically rely on single-step retrieval, limiting their ability to handle complex clinical reasoning tasks. Here we propose an agentic RAG framework enabling LLMs to autonomously decompose radiology questions, iteratively retrieve targeted clinical …

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL
Jiaxuan Gao, Wei Fu, Minyang Xie, Shusheng Xu, Chuyi He, Zhiyu Mei, Banghua Zhu, Yi Wu

AI use cases introduced by Rob Finn from EMBL-EBI, as pointed out in his #CORDI2025 keynote "Delivering life science data resources in a world of growing data and impacts from AI"
https://www.nfdi.de/cordi-2025/keynotes/

Moonshot AI just dropped something incredible - Kimi K2, a massive 1-trillion parameter Mixture-of-Experts (MoE) model that's specifically designed for "agentic intelligence" 🤖. But here's the kicker: it's completely open-source under a Modified MIT License!

Discovery of Disease Relationships via Transcriptomic Signature Analysis Powered by Agentic AI
Ke Chen, Haohan Wang
https://arxiv.org/abs/2508.04742 https://

Discovery of Disease Relationships via Transcriptomic Signature Analysis Powered by Agentic AI
Modern disease classification often overlooks molecular commonalities hidden beneath divergent clinical presentations. This study introduces a transcriptomics-driven framework for discovering disease relationships by analyzing over 1300 disease-condition pairs using GenoMAS, a fully automated agentic AI system. Beyond identifying robust gene-level overlaps, we develop a novel pathway-based similarity framework that integrates multi-database enrichment analysis to quantify functional convergence…

Agentic AI promises a swift revolution for cybersecurity defenders, with one expert calling it a "Cambrian explosion" and another likening it to "the fastest train ever made."
But it's a technology still in its infancy, and other experts caution CISOs to take it slow until the kinks can be worked out.
Check out my latest CSO piece on agentic AI for more details. Thanks to Jimmy Mesta of RAD Security, Andres Riancho and Hillai Ben-Sasson of Wiz, Ben Seri of…

Agentic AI promises a cybersecurity revolution — with asterisks
Experts say agentic AI will rapidly change cybersecurity, freeing up talent to focus on more dynamic work. But with AI agents still in their infancy, they also urge CISOs to ask a lot of questions before committing to this new security paradigm.

CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at Scale
Jonathan Hyun, Nicholas R Waytowich, Boyuan Chen
https://arxiv.org/abs/2507.05178 h…

CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at Scale
Despite rapid progress in large language model (LLM)-based multi-agent systems, current benchmarks fall short in evaluating their scalability, robustness, and coordination capabilities in complex, dynamic, real-world tasks. Existing environments typically focus on small-scale, fully observable, or low-complexity domains, limiting their utility for developing and assessing next-generation multi-agent Agentic AI frameworks. We introduce CREW-Wildfire, an open-source benchmark designed to close th…

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
Renan Souza, Amal Gueroudji, Stephen DeWitt, Daniel Rosendo, Tirthankar Ghosal, Robert Ross, Prasanna Balaprakash, Rafael Ferreira da Silva
https://arxiv.org/abs/2508.02866

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
Foundation models, such as Large Language Models (LLMs), are increasingly used as core components of AI agents in complex, large-scale workflows across federated and heterogeneous environments. In agentic workflows, autonomous agents plan tasks, interact with humans and peers, and shape scientific outcomes. This makes transparency, traceability, reproducibility, and reliability essential. However, AI-based agents can hallucinate or reason incorrectly, and their decisions may propagate errors th…

Agentic AI in Product Management: A Co-Evolutionary Model
Nishant A. Parikh
https://arxiv.org/abs/2507.01069 https://arxiv.org/pdf/25…

Agentic AI in Product Management: A Co-Evolutionary Model
This study explores agentic AI's transformative role in product management, proposing a conceptual co-evolutionary framework to guide its integration across the product lifecycle. Agentic AI, characterized by autonomy, goal-driven behavior, and multi-agent collaboration, redefines product managers (PMs) as orchestrators of socio-technical ecosystems. Using systems theory, co-evolutionary theory, and human-AI interaction theory, the framework maps agentic AI capabilities in discovery, scoping, b…

Google hires Windsurf CEO Varun Mohan, co-founder Douglas Chen, and some of Windsurf's R&D employees to focus on agentic coding efforts at DeepMind (Hayden Field/The Verge)
https://www.theverge.com/openai/705999/google-windsurf-ceo-openai

OpenAI’s Windsurf deal is off — and its CEO is going to Google
Key researchers from the AI coding startup are also heading to Google.

🤦‍♂️ https://brave.com/blog/comet-prompt-injection/

Agentic Browser Security: Indirect Prompt Injection in Perplexity Comet | Brave
The attack we developed shows that traditional Web security assumptions don't hold for agentic AI, and that we need new security and privacy architectures for agentic browsing.

Agentic AI Empowered Multi-UAV Trajectory Optimization in Low-Altitude Economy Networks
Feibo Jiang, Li Dong, Xitao Pan, Kezhi Wang, Cunhua Pan
https://arxiv.org/abs/2508.16379 …

Agentic AI Empowered Multi-UAV Trajectory Optimization in Low-Altitude Economy Networks
This paper proposes a novel Agentic Retrieval-augmented generation with Mamba-Attention Integrated Transformer (ARMAIT) framework for multi-Unmanned Aerial Vehicle (UAV) trajectory optimization. The framework is built upon Large Language Models (LLMs), incorporating Retrieval-Augmented Generation (RAG) empowered by Agentic AI and integrated with a UAV-specific knowledge base. Through the Agentic RAG, the LLM autonomously interprets high-level task requirements and identifies the key components …

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood, Nadeem Shahzad, Ken Huang, Muhammad Aziz Ul Haq, Muhammad Awais, Kamal Ahmed, Anthony Green
https://arxiv.org/abs/2508.01997

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
The rapid advancement and widespread adoption of generative artificial intelligence (AI) pose significant threats to the integrity of personal identity, including digital cloning, sophisticated impersonation, and the unauthorized monetization of identity-related data. Mitigating these risks necessitates the development of robust AI-generated content detection systems, enhanced legal frameworks, and ethical guidelines. This paper introduces the Digital Identity Rights Framework (DIRF), a structu…

RAG has revolutionised AI by merging search and generation. Agentic behaviour takes this search to the next level by enabling LLMs to make decisions and call tools. At Berlin Buzzwords 2025, Bilge Yücel discussed how agentic behaviour enhances pipelines, what it means for a system to act as an 'agent', and core concepts such as routing, tool calling and reasoning, along with a live demo.
Watch the full session: #bbuzz returns on 7-9 June 2026: https://tickets.plainschwarz.com/bbuzz26/c/uIWaci8Cm/

from my link log —
Cracking the Vault: flaws in authentication, identity, and authorization in HashiCorp Vault.
https://cyata.ai/blog/cracking-the-vault-how-we-found-zero-day-flaws-in-authe…

Cracking the Vault: how we found zero-day flaws in authentication, identity, and authorization in HashiCorp Vault - Cyata | The Control Plane for Agentic Identity
Introduction: when the trust model can’t be trusted Secrets vaults are the backbone of digital infrastructure. They store the credentials, tokens, and certificates that govern access to systems, services, APIs, and data. They’re not just a part of the trust model, they are the trust model. In other words, if your vault is compromised, your […]

VirtLab: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations
Mohammed Almutairi, Charles Chiang, Haoze Guo, Matthew Belcher, Nandini Banerjee, Maria Milkowski, Svitlana Volkova, Daniel Nguyen, Tim Weninger, Michael Yankoski, Trenton W. Ford, Diego Gomez-Zara
https://arxiv.org/abs/2508.04634

VirtLab: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations
Simulating how team members collaborate within complex environments using Agentic AI is a promising approach to explore hypotheses grounded in social science theories and study team behaviors. We introduce VirtLab, a user-friendly, customizable, multi-agent, and scalable team simulation system that enables testing teams with LLM-based agents in spatial and temporal settings. This system addresses the current frameworks' design and technical limitations that do not consider flexible simulation s…

Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AI
Botao Zhu, Jeslyn Wang, Dusit Niyato, Xianbin Wang
https://arxiv.org/abs/2509.08151 https…

Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AI
Accurate trustworthiness evaluation of potential collaborating devices is essential for the effective execution of complex computing tasks. This evaluation process involves collecting diverse trust-related data from potential collaborators, including historical performance and available resources, for collaborator selection. However, when each task owner independently assesses all collaborators' trustworthiness, frequent data exchange, complex reasoning, and dynamic situation changes can result…

France's Capgemini plans to acquire US-listed IT outsourcing company WNS for $3.3B in cash, seeking to boost its agentic AI services; WNS serves 600 clients (Bloomberg)
https://www.bloomberg.com/news/articles/2025-07…

Capgemini to Buy WNS for $3.3 Billion to Boost ‘Agentic’ AI
France’s Capgemini SE plans to acquire IT outsourcing company WNS Holdings Ltd. for $3.3 billion in cash, beating rival suitors to a deal aimed at expanding its AI operations.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation
Aniket Johri, Divyanshi Dwivedi, Mayukha Pal
https://arxiv.org/abs/2508.04170

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation
The increasing vulnerability of electrical distribution systems to extreme weather events and cyber threats necessitates the development of economically viable frameworks for resilience enhancement. While existing approaches focus primarily on technical resilience metrics and enhancement strategies, there remains a significant gap in establishing market-driven mechanisms that can effectively commercialize resilience features while optimizing their deployment through intelligent decision-making.…

AI Agent Smart Contract Exploit Generation
Arthur Gervais, Liyi Zhou
https://arxiv.org/abs/2507.05558 https://arxiv.org/pdf/2507.0555…

AI Agent Smart Contract Exploit Generation
We present A1, an agentic execution driven system that transforms any LLM into an end-to-end exploit generator. A1 has no hand-crafted heuristics and provides the agent with six domain-specific tools that enable autonomous vulnerability discovery. The agent can flexibly leverage these tools to understand smart contract behavior, generate exploit strategies, test them on blockchain states, and refine approaches based on execution feedback. All outputs are concretely validated to eliminate false …

Autonomic Microservice Management via Agentic AI and MAPE-K Integration
Matteo Esposito, Alexander Bakhtin, Noman Ahmad, Mikel Robredo, Ruoyu Su, Valentina Lenarduzzi, Davide Taibi
https://arxiv.org/abs/2506.22185

Autonomic Microservice Management via Agentic AI and MAPE-K Integration
While microservices are revolutionizing cloud computing by offering unparalleled scalability and independent deployment, their decentralized nature poses significant security and management challenges that can threaten system stability. We propose a framework based on MAPE-K, which leverages agentic AI, for autonomous anomaly detection and remediation to address the daunting task of highly distributed system management. Our framework offers practical, industry-ready solutions for maintaining ro…

AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI
Ren\'e Bohnsack, Mickie de Wet
https://arxiv.org/abs/2506.17339

AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI
This article develops the concept of Autonomous Business Models (ABMs) as a distinct managerial and strategic logic in the age of agentic AI. While most firms still operate within human-driven or AI-augmented models, we argue that we are now entering a phase where agentic AI (systems capable of initiating, coordinating, and adapting actions autonomously) can increasingly execute the core mechanisms of value creation, delivery, and capture. This shift reframes AI not as a tool to support strateg…

Nominal, which develops AI agents for ERP systems to automate tasks for finance teams, raised a $20M Series A led by Next47, bringing its total funding to ~$30M (Meir Orbach/CTech)
https://www.calcalistech.com/ctechnews/article/hjp11cpislx

Ex-Cognigo founders raise $20M Series A to bring AI automation to CFOs
Nominal’s agentic platform promises to cut thousands of hours of manual accounting work.

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/6]:
- On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows
Chakraborty, Pourreza, Sun, Song, Scherrer, Huang, Bedi, Beirami, Gu, Palangi, Pfister

The latest large opensource AI model from China.
Kimi-K2
#AI #china #KimiK2

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN
Abdelaziz Salama, Zeinab Nezami, Mohammed M. H. Qazzaz, Maryam Hafeez, Syed Ali Raza Zaidi
https://arxiv.org/abs/2507.21696

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN
The deployment of AI agents within legacy Radio Access Network (RAN) infrastructure poses significant safety and reliability challenges for future 6G networks. This paper presents a novel Edge AI framework for autonomous network optimisation in Open RAN environments, addressing these challenges through three core innovations: (1) a persona-based multi-tools architecture enabling distributed, context-aware decision-making; (2) proactive anomaly detection agent powered by traffic predictive tool;…

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley
Weihao Tan, Changjiu Jiang, Yu Duan, Mingcong Lei, Jiageng Li, Yitian Hong, Xinrun Wang, Bo An
https://arxiv.org/abs/2507.07445

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley
Autonomous agents navigating human society must master both production activities and social interactions, yet existing benchmarks rarely evaluate these skills simultaneously. To bridge this gap, we introduce StarDojo, a novel benchmark based on Stardew Valley, designed to assess AI agents in open-ended production-living simulations. In StarDojo, agents are tasked to perform essential livelihood activities such as farming and crafting, while simultaneously engaging in social interactions to est…

FlexNGIA 2.0: Redesigning the Internet with Agentic AI - Protocols, Services, and Traffic Engineering Designed, Deployed, and Managed by AI
Mohamed Faten Zhani, Younes Korbi, Yamen Mkadem
https://arxiv.org/abs/2509.02124

FlexNGIA 2.0: Redesigning the Internet with Agentic AI - Protocols, Services, and Traffic Engineering Designed, Deployed, and Managed by AI
The escalating demands of immersive communications, alongside advances in network softwarization and AI-driven cognition and generative reasoning, create a pivotal opportunity to rethink and reshape the future Internet. In this context, we introduce in this paper, FlexNGIA 2.0, an Agentic AI-driven Internet architecture that leverages LLM-based AI agents to autonomously orchestrate, configure, and evolve the network. These agents can, at runtime, perceive, reason, coordinate among themselves to…

Leena AI, which develops an employee-facing agentic AI assistant, launches "AI colleagues" that it says can work and interact just like human employees (Kyt Dotson/SiliconANGLE)
https://siliconangle.com/2025/07/24/leena-ai-anno…

Leena AI announces voice-enabled AI ‘colleagues’ who can work alongside you - SiliconANGLE
Leena AI announces voice-enabled AI ‘colleagues’ who can work alongside you - SiliconANGLE

How to stop AI agents going rogue
https://www.bbc.com/news/articles/cq87e0dwj25o?at_medium=RSS&at_campaign=rss

How to stop AI agents going rogue
Agentic AI is taking decisions and acting on behalf of users, but how to stop that going wrong?

Are AI-Generated Fixes Secure? Analyzing LLM and Agent Patches on SWE-bench
Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee
https://arxiv.org/abs/2507.02976

Are AI-Generated Fixes Secure? Analyzing LLM and Agent Patches on SWE-bench
Large Language Models (LLMs) and their agentic frameworks are increasingly adopted to automate software development tasks such as issue resolution and program repair. While prior work has identified security risks in LLM-generated code, most evaluations have focused on synthetic or isolated settings, leaving open questions about the security of these systems in real-world development contexts. In this study, we present the first large-scale security analysis of LLM-generated patches using 20,00…

From Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning
Lixiang Yan
https://arxiv.org/abs/2508.14825 https://

From Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning
The role of Artificial Intelligence (AI) in education is undergoing a rapid transformation, moving beyond its historical function as an instructional tool towards a new potential as an active participant in the learning process. This shift is driven by the emergence of agentic AI, autonomous systems capable of proactive, goal-directed action. However, the field lacks a robust conceptual framework to understand, design, and evaluate this new paradigm of human-AI interaction in learning. This pap…

InstaLILY, whose industry-specific AI agents called InstaWorkers integrate with legacy systems, raised $25M from Insight Partners (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/08/27/instalily-gets-25m-accelerate-industr…

InstaLILY gets $25M to accelerate industry automation with agentic AI teammates - SiliconANGLE
InstaLILY gets $25M to accelerate industry automation with agentic AI teammates - SiliconANGLE

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/9]:
- From Semantic Web and MAS to Agentic AI: A Unified Narrative of the Web of Agents
Tatiana Petrova, Boris Bliznioukov, Aleksandr Puzikov, Radu State

Agentic AI for Software: thoughts from Software Engineering community
Abhik Roychoudhury
https://arxiv.org/abs/2508.17343 https://arxiv.org/pdf/2508.17343

Agentic AI for Software: thoughts from Software Engineering community
AI agents have recently shown significant promise in software engineering. Much public attention has been transfixed on the topic of code generation from Large Language Models (LLMs) via a prompt. However, software engineering is much more than programming, and AI agents go far beyond instructions given by a prompt. At the code level, common software tasks include code generation, testing, and program repair. Design level software tasks may include architecture exploration, requirements under…

Agentic Workflow for Education: Concepts and Applications
Yuan-Hao Jiang, Yijie Lu, Ling Dai, Jiatong Wang, Ruijia Li, Bo Jiang
https://arxiv.org/abs/2509.01517 https://

Agentic Workflow for Education: Concepts and Applications
With the rapid advancement of Large Language Models (LLMs) and Artificial Intelligence (AI) agents, agentic workflows are showing transformative potential in education. This study introduces the Agentic Workflow for Education (AWE), a four-component model comprising self-reflection, tool invocation, task planning, and multi-agent collaboration. We distinguish AWE from traditional LLM-based linear interactions and propose a theoretical framework grounded in the von Neumann Multi-Agent System (MA…

Maisa AI, which offers an enterprise agentic automation service that uses a proprietary system to limit hallucinations, raised $25M seed led by Creandum (Anna Heim/TechCrunch)
https://techcrunch.com/2025/08/27/maisa-ai-gets-25m-to-fix-enterprise-ais…

Maisa AI gets $25M to fix enterprise AI's 95% failure rate | TechCrunch
Maisa AI is built on the premise that enterprise automation requires accountable AI agents, not opaque black boxes.

Agentic Enterprise: AI-Centric User to User-Centric AI
Arpit Narechania, Alex Endert, Atanu R Sinha
https://arxiv.org/abs/2506.22893 https://

Agentic Enterprise: AI-Centric User to User-Centric AI
After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - personal, social, health, education, professional. In this paper, we take a closer look at the potential of AI for Enterprises, where decision-making plays a crucial and repeated role across functions, tasks, and operations. We consider Agents imbued with AI as means to increase decision-productivity of enterprises. We hi…

Microsoft Edge adds Copilot Mode, an experimental feature that tries to make browsing an agentic AI experience, even anticipating links to click, free for now (Zac Bowden/Windows Central)
https://www.windowscentral.com/microsoft/micros…

Microsoft revolutionizes Edge as an AI-powered web browser with new experimental 'Copilot Mode' — but it won't be free forever
Copilot Mode in Microsoft Edge is a new experimental feature that transforms the browser into an agentic AI experience, but it's only free for a limited time.

MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation
Dipo Dunsin, Mohamed Chahine Ghanem, Eduardo Almeida Palmieri
https://arxiv.org/abs/2507.03993

MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation
This paper addresses the critical need for high-quality malware datasets that support advanced analysis techniques, particularly machine learning and agentic AI frameworks. Existing datasets often lack diversity, comprehensive labelling, and the complexity necessary for effective machine learning and agent-based AI training. To fill this gap, we developed a systematic approach for generating a dataset that combines automated malware execution in controlled virtual environments with dynamic moni…

Israeli customer service automation company Nice acquires Cognigy, which develops a conversational and agentic AI platform, for $955M, set to close in Q4 2025 (Shiri Habib-Valdhorn/Globes)
https://en.globes.co.il/en/article-nice-acquires-ai-co-cognigy-…

Nice acquires AI co Cognigy for $955m
The acquisition combines Nice's purpose built customer service AI platform with Cognigy's conversational and agentic platform, which will enable organizations to accelerate AI adoption in customer experience.

The Dark Side of LLMs Agent-based Attacks for Complete Computer Takeover
Matteo Lupinacci, Francesco Aurelio Pironti, Francesco Blefari, Francesco Romeo, Luigi Arena, Angelo Furfaro
https://arxiv.org/abs/2507.06850

The Dark Side of LLMs Agent-based Attacks for Complete Computer Takeover
The rapid adoption of Large Language Model (LLM) agents and multi-agent systems enables unprecedented capabilities in natural language processing and generation. However, these systems have introduced unprecedented security vulnerabilities that extend beyond traditional prompt injection attacks. This paper presents the first comprehensive evaluation of LLM agents as attack vectors capable of achieving complete computer takeover through the exploitation of trust boundaries within agentic AI syst…

Google rolls out AI Mode to 180 countries and territories in English, after testing in the US, UK, and India, and plans to add more languages and regions "soon" (Abner Li/9to5Google)
https://9to5google.com/2025/08/21/google-ai-mode-countries-agentic/

Google AI Mode expanding to 180 countries, getting agentic restaurant finder, more
Google is now bringing AI Mode to many more countries around the world, while AI Ultra subscribers will get to use an agentic capability.

Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems
Manish Shukla
https://arxiv.org/abs/2509.00115 https://arxiv.org/pdf/2509.00115

Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems
Agentic artificial intelligence (AI) -- multi-agent systems that combine large language models with external tools and autonomous planning -- are rapidly transitioning from research laboratories into high-stakes domains. Our earlier "Basic" paper introduced a five-axis framework and proposed preliminary metrics such as goal drift and harm reduction but did not provide an algorithmic instantiation or empirical evidence. This "Advanced" sequel fills that gap. First, we revisit recent benchmarks a…

Q&A with Anthropic CEO Dario Amodei on Anthropic's growth to ~$5B in ARR, focusing on B2B, AI talent wars, open-source models, safety regulations, and more (John Collison/Cheeky Pint)
https://cheekypint.substack.com/p/a-cheeky-pint-with-anthropic-ceo

A Cheeky Pint with Anthropic CEO Dario Amodei
Dario Amodei joins John Collison to talk about Anthropic's growth to almost $5 billion in ARR, how AI models show capitalistic impulses, predictions for an agentic future, the economics of model businesses, and the 19th-century concept of vitalism.

Agentic Privacy-Preserving Machine Learning
Mengyu Zhang, Zhuotao Liu, Jingwen Huang, Xuanqi Liu
https://arxiv.org/abs/2508.02836 https://arxiv.org/pdf/250…

Agentic Privacy-Preserving Machine Learning
Privacy-preserving machine learning (PPML) is critical to ensure data privacy in AI. Over the past few years, the community has proposed a wide range of provably secure PPML schemes that rely on various cryptography primitives. However, when it comes to large language models (LLMs) with billions of parameters, the efficiency of PPML is everything but acceptable. For instance, the state-of-the-art solution for confidential LLM inference represents at least 10,000-fold slower performance compared…

FaMA: LLM-Empowered Agentic Assistant for Consumer-to-Consumer Marketplace
Yineng Yan, Xidong Wang, Jin Seng Cheng, Ran Hu, Wentao Guan, Nahid Farahmand, Hengte Lin, Yue Li
https://arxiv.org/abs/2509.03890

FaMA: LLM-Empowered Agentic Assistant for Consumer-to-Consumer Marketplace
The emergence of agentic AI, powered by Large Language Models (LLMs), marks a paradigm shift from reactive generative systems to proactive, goal-oriented autonomous agents capable of sophisticated planning, memory, and tool use. This evolution presents a novel opportunity to address long-standing challenges in complex digital environments. Core tasks on Consumer-to-Consumer (C2C) e-commerce platforms often require users to navigate complex Graphical User Interfaces (GUIs), making the experience…

Claude Code, Gemini CLI, and CLI Codex, terminal-based AI tools launched since February, have surprisingly gained ground on AI code editors with traditional UIs (Russell Brandom/TechCrunch)
https://techcrunch.com/2025/07/15/ai-coding-tools-a…

AI coding tools are shifting to a surprising place: the terminal | TechCrunch
For years, code-editing tools like Cursor, Windsurf, and GitHub’s Copilot have been the standard for AI-powered software development. But as agentic AI grows more powerful and vibe-coding takes off, a subtle shift has changed how AI systems are interacting with software. Instead of working on code, they’re increasingly interacting directly with the shell of whatever system they’re installed in. It’s a significant change in how AI-powered software development happens – and despite the …

Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System
Pallavi Zambare, Venkata Nikhil Thanikella, Ying Liu
https://arxiv.org/abs/2508.10043

Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System
When combining Large Language Models (LLMs) with autonomous agents, used in network monitoring and decision-making systems, this will create serious security issues. In this research, the MAESTRO framework consisting of the seven layers threat modeling architecture in the system was used to expose, evaluate, and eliminate vulnerabilities of agentic AI. The prototype agent system was constructed and implemented, using Python, LangChain, and telemetry in WebSockets, and deployed with inference, m…

Google unveils Gemini CLI, an agentic AI tool that lets developers make natural language requests by connecting Gemini models to local codebases in terminals (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/06/25/google-unveil…

Google unveils Gemini CLI, an open-source AI tool for terminals | TechCrunch
Google launched a new, open source AI coding tool for terminals, Gemini CLI, to compete with similar offerings from OpenAI and Anthropic.

AI Agentic Vulnerability Injection And Transformation with Optimized Reasoning
Amine Lbath, Massih-Reza Amini, Aurelien Delaitre, Vadim Okun
https://arxiv.org/abs/2508.20866 htt…

AI Agentic Vulnerability Injection And Transformation with Optimized Reasoning
The increasing complexity of software systems and the sophistication of cyber-attacks have underscored the critical need for effective automated vulnerability detection and repair systems. Traditional methods, such as static program analysis, face significant challenges related to scalability, adaptability, and high false-positive and false-negative rates. AI-driven approaches, particularly those using machine learning and deep learning models, show promise but are heavily reliant on the qualit…

AWorld: Orchestrating the Training Recipe for Agentic AI
Chengyue Yu, Siyuan Lu, Chenyi Zhuang, Dong Wang, Qintong Wu, Zongyue Li, Runsheng Gan, Chunfeng Wang, Siqi Hou, Gaochi Huang, Wenlong Yan, Lifeng Hong, Aohui Xue, Yanfeng Wang, Jinjie Gu, David Tsai, Tao Lin
https://arxiv.org/abs/2508.20404 …

AWorld: Orchestrating the Training Recipe for Agentic AI
The learning from practice paradigm is crucial for developing capable Agentic AI systems, yet it is severely hampered by inefficient experience generation, a bottleneck especially pronounced in complex benchmarks like GAIA. To address this, we introduce AWorld, an open-source system engineered for large-scale agent-environment interaction. By distributing tasks across a cluster, AWorld accelerates experience collection by 14.6x compared to standard single-node, sequential execution. This critic…

Researchers detail an indirect prompt injection flaw in Perplexity's Comet AI browser, letting attackers manipulate it into performing unauthorized actions (Brave)
https://brave.com/blog/comet-prompt-injection/

Agentic Browser Security: Indirect Prompt Injection in Perplexity Comet | Brave
The attack we developed shows that traditional Web security assumptions don't hold for agentic AI, and that we need new security and privacy architectures for agentic browsing.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/7]:
- AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays
Xueyang Li, Mingze Jiang, Gelei Xu, Jun Xia, Mengzhao Jia, Danny Chen, Yiyu Shi

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/5]:
- Compliance Brain Assistant: Conversational Agentic AI for Assisting Compliance Tasks in Enterpris...
Zhu, Fang, Larson, Pochareddy, Rao, Zeng, Peng, Summer, Goncalves, Pudota, Robert

Agentic AI framework for End-to-End Medical Data Inference
Soorya Ram Shimgekar, Shayan Vassef, Abhay Goyal, Navin Kumar, Koustuv Saha
https://arxiv.org/abs/2507.18115 https://

Agentic AI framework for End-to-End Medical Data Inference
Building and deploying machine learning solutions in healthcare remains expensive and labor-intensive due to fragmented preprocessing workflows, model compatibility issues, and stringent data privacy constraints. In this work, we introduce an Agentic AI framework that automates the entire clinical data pipeline, from ingestion to inference, through a system of modular, task-specific agents. These agents handle both structured and unstructured data, enabling automatic feature selection, model se…

ServiceNow reports Q2 revenue up 22.5% YoY to $3.22B, vs. $3.12B est., and net income up 47% YoY to $385M, fueled by AI growth; NOW jumps 7% after hours (Samantha Subin/CNBC)
https://www.cnbc.com/2025/07/23/servicenow-now-q2-earnings-2025.html

ServiceNow lifts guidance on AI growth
"Every business process in every industry is being refactored for agentic AI," said ServiceNow chair and CEO Bill McDermott in a release.

Magentic-UI: Towards Human-in-the-loop Agentic Systems
Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus Kunzler Maldaner, Madeleine Grunde-McLaughlin, Eric Zhu, Griffin Bassman, Jacob Alber, Peter Chang, Ricky Loynd, Friederike Niedtner, Ece Kamar, Maya Murad, Rafah Hosn, Saleema Amershi
http…

Magentic-UI: Towards Human-in-the-loop Agentic Systems
AI agents powered by large language models are increasingly capable of autonomously completing complex, multi-step tasks using external tools. Yet, they still fall short of human-level performance in most domains including computer use, software development, and research. Their growing autonomy and ability to interact with the outside world, also introduces safety and security risks including potentially misaligned actions and adversarial manipulation. We argue that human-in-the-loop agentic sy…

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems
Sri Ram Macharla, Sridhar Murthy J, Anjaneyulu Pasala
https://arxiv.org/abs/2508.21307

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems
MultiFluxAI is an innovative AI platform developed to address the challenges of managing and integrating vast, disparate data sources in product engineering across application domains. It addresses both current and new service related queries that enhance user engagement in the digital ecosystem. This platform leverages advanced AI techniques, such as Generative AI, vectorization, and agentic orchestration to provide dynamic and context-aware responses to complex user queries.

AI-SearchPlanner: Modular Agentic Search via Pareto-Optimal Multi-Objective Reinforcement Learning
Lang Mei, Zhihan Yang, Chong Chen
https://arxiv.org/abs/2508.20368 https://

AI-SearchPlanner: Modular Agentic Search via Pareto-Optimal Multi-Objective Reinforcement Learning
Recent studies have explored integrating Large Language Models (LLMs) with search engines to leverage both the LLMs' internal pre-trained knowledge and external information. Specially, reinforcement learning (RL) has emerged as a promising paradigm for enhancing LLM reasoning through multi-turn interactions with search engines. However, existing RL-based search agents rely on a single LLM to handle both search planning and question-answering (QA) tasks in an end-to-end manner, which limits thei…

Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
Hana Derouiche, Zaki Brahmi, Haithem Mazeni
https://arxiv.org/abs/2508.10146 https://

Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
The emergence of Large Language Models (LLMs) has ushered in a transformative paradigm in artificial intelligence, Agentic AI, where intelligent agents exhibit goal-directed autonomy, contextual reasoning, and dynamic multi-agent coordination. This paper provides a systematic review and comparative analysis of leading Agentic AI frameworks, including CrewAI, LangGraph, AutoGen, Semantic Kernel, Agno, Google ADK, and MetaGPT, evaluating their architectural principles, communication mechanisms, m…

Lumana, which integrates vision-language models and agentic AI into its video surveillance system, raised a $40M Series A led by Wing Venture Capital (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/07/29/lumana-gets-40m-build-intel…

Lumana gets $40M to build more intelligent video surveillance systems - SiliconANGLE
Lumana gets $40M to build more intelligent video surveillance systems - SiliconANGLE

CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments
Nitish Jaipuria, Lorenzo Gatto, Zijun Kan, Shankey Poddar, Bill Cheung, Diksha Bansal, Ramanan Balakrishnan, Aviral Suri, Jose Estevez
https://arxiv.org/abs/2508.19932

CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments
The proliferation of digital payment platforms has transformed commerce, offering unmatched convenience and accessibility globally. However, this growth has also attracted malicious actors, leading to a corresponding increase in sophisticated social engineering scams. These scams are often initiated and orchestrated on multiple surfaces outside the payment platform, making user and transaction-based signals insufficient for a complete understanding of the scam's methodology and underlying patte…