Meta's safety director handed OpenClaw AI agents the keys to her …
Feb 24, 2026 · Meta Alignment Director admits OpenClaw AI agents ran wild, deleting emails and forcing her to flee to a Mac mini to defuse the "bomb".
A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
Recent studies show that collaborating multiple large language model (LLM) powered agents is a promising way for task solving. However, current approaches are constrained by using a fixed number of agents and static communication structures. In this...
Agent-Testing Agent: A Meta-Agent for Automated Testing and Evaluation of Conversational A…
LLM agents are increasingly deployed to plan, retrieve, and write with tools, yet evaluation still leans on static benchmarks and small human studies. We present the Agent-Testing Agent (ATA), a meta-agent that combines static code analysis, designer...
Open Agent Specification (Agent Spec): A Unified Representation for AI Agents
The proliferation of agent frameworks has led to fragmentation in how agents are defined, executed, and evaluated. Existing systems differ in their abstractions, data flow semantics, and tool integrations, making it difficult to share or reproduce wo...
Sentinel Agents for Secure and Trustworthy Agentic AI in Multi-Agent Systems
This paper proposes a novel architectural framework aimed at enhancing security and reliability in multi-agent systems (MAS). A central component of this framework is a network of Sentinel Agents, functioning as a distributed security layer that inte...
Agent TCP/IP: An Agent-to-Agent Transaction System
Autonomous agents represent an inevitable evolution of the internet. Current agent frameworks do not embed a standard protocol for agent-to-agent interaction, leaving existing agents isolated from their peers. As intellectual property is the native a...
eBay explicitly bans AI "buy for me" agents in user agreement update
Points: 340 | Comments: 353 | Author: bdcravens
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Antifungal agents in clinical and preclinical development: overview and ...
Apr 1, 2025 · This report presents the first World Health Organization (WHO) analysis of antifungal agents in preclinical and clinical development. It covers systemic antifungal drugs in development …
School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs
Reward hacking--where agents exploit flaws in imperfect reward functions rather than performing tasks as intended--poses risks for AI alignment. Reward hacking has been observed in real training runs, with coding agents learning to overwrite or tampe...
ELLA: Exploration through Learned Language Abstraction
Building agents capable of understanding language instructions is critical to effective and robust human-AI collaboration. Recent work focuses on training these agents via reinforcement learning in environments with synthetic language; however, instr...
Ella: Embodied Social Agents with Lifelong Memory
We introduce Ella, an embodied social agent capable of lifelong learning within a community in a 3D open world, where agents accumulate experiences and acquire knowledge through everyday visual observations and social interactions. At the core of Ell...
Agents in Pedestrian weird behavior
Tags: anylogic | Score: -1
COBRA: Contextual Bandit Algorithm for Ensuring Truthful Strategic Agents
This paper considers a contextual bandit problem involving multiple agents, where a learner sequentially observes the contexts and the agent's reported arms, and then selects the arm that maximizes the system's overall reward. Existing work in contex...
What has everyone been building with agentic workflows in a corporate setting?
I keep seeing content on Twitter/X and other social media platforms about building out agentic workflows. So much is on either using agents in development or building out massive, orchestrated agents ...
CodeMem: Architecting Reproducible Agents via Dynamic MCP and Procedural Memory
Current tool-using AI agents suffer from limited action space, context inefficiency, and probabilistic instability that makes them unsuitable for handling repetitive tasks which are otherwise reliably and efficiently tackled by agentic workflows buil...
jenkinsci/docker-agents
Jenkins agent (base image) and inbound agent Docker images (⭐ 334)
Antifungal agents in clinical and preclinical development: overview and ...
Apr 1, 2025 · This report presents the first World Health Organization (WHO) analysis of antifungal agents in preclinical and clinical development. It covers systemic antifungal drugs in development …
Codified Context: Infrastructure for AI Agents in a Complex Codebase
LLM-based agentic coding assistants lack persistent memory: they lose coherence across sessions, forget project conventions, and repeat known mistakes. Recent studies characterize how developers configure agents through manifest files, but an open ch...
Fault-Tolerant Sandboxing for AI Coding Agents: A Transactional Approach to Safe Autonomou…
The transition of Large Language Models (LLMs) from passive code generators to autonomous agents introduces significant safety risks, specifically regarding destructive commands and inconsistent system states. Existing commercial solutions often prio...