AI Agents news and analysis on Web Pulse: 12339 curated articles tracking the latest AI Agents developments, tools, and research, updated continuously from vetted sources.
A developer has published a guide for building an Agentic OS, a lightweight automation layer that enables AI to autonomously inspect repositories, assign tasks, verify outputs, and enforce budgets. The system separates A…
A study of about 1,080 job postings at OpenAI and Anthropic reveals the two AI labs are diverging in their approaches to agentic AI, which poses a security risk as AI agents' behavior can drift over time, evading standar…
Researchers introduced PatchOptic, an optic-inspired interface for shared-state LLM workflows that enforces contracts between local updates and global validity through projected reads and verified structured patches. Eva…
Researchers introduced Prompt-to-Paper, a multi-agent AI system that generates verifiable bioinformatics manuscripts by grounding claims in 60-100 cited papers, executing real computational experiments, and scoring quali…
Researchers introduced CSTutorBench, a benchmark to evaluate small language models as tutors for block-based programming in VEX VR robotics. Testing 11 models revealed that instruction-tuning approach predicts tutoring q…
Researchers demonstrate that moving memory retrieval inside the agent loop reduces latency from hundreds of milliseconds to ~100 microseconds, eliminating redundant actions and improving recall. In tests across GPT-5-cla…
A synthesis of 27 papers (2023-2026) spanning 19 benchmarks reveals six recurring failure clusters in large language model agents, including tool-use errors, planning failures, and safety issues, with failures compoundin…
Researchers introduced NapMem, a framework that transforms long-term user memory into a structured action space for conversational agents, enabling active navigation across memory granularities. Trained with reinforcemen…
Researchers introduced Onnes, a physics-grounded multi-agent LLM simulator for cryogenic fault diagnosis in quantum computing infrastructure. In controlled evaluations, a zero-shot LLM panel matched a supervised ML class…
Researchers introduced StateFuse, a conflict-aware replicated memory contract for multi-agent systems that preserves contradictory observations instead of collapsing them. In evaluations, StateFuse enabled safer abstenti…
Researchers introduced Light-Omni, a multimodal agent framework for reflexive video understanding that uses dual contextual states to avoid costly iterative reasoning. It achieved a 2.4% accuracy gain over M3-Agent with …
Researchers tested how persona prompts affect large language model agents in an iterated Split or Steal game, finding that mutual cooperation dominated in roughly 74% of rounds across 160 sessions. Model choice significa…
Researchers introduced FirstResearch, a framework that generates auditable research questions for LLM scientific discovery agents by producing a structured Research Question Certificate. In evaluations, FirstResearch out…
Researchers introduced ArtisanCAD, an industrial-level CAD agent that uses expert-grounded knowledge distillation to convert ambiguous text prompts into executable CAD programs. The system leverages a CAD intermediate re…
Researchers introduced AgenticAI-Supervisor, an API and UI-driven RL Gym environment that decouples environment creation from scalable execution for training LLM-based autonomous agents. The platform generates high-fidel…
Researchers at arXiv found that steering vectors extracted from heading-anchor positions in tool-augmented large language models can suppress unnecessary tool use across five open-source models and three domains. However…
Researchers propose TurnOPD, a turn-level budgeting strategy for efficient on-policy distillation of long-horizon language agents. The method addresses inefficiencies in vanilla agent OPD by using adaptive rollout-depth …
Researchers introduced CanvasAgent, a multimodal agent that orchestrates multiple visual tools for complex image creation and editing, along with the CanvasCraft dataset containing 140K annotated trajectories. The agent …
Researchers formalize the execution harness of LLM agents as a learnable control layer using offline reinforcement learning, training a lightweight controller with advantage-weighted regression to improve verification be…
Researchers introduced FedPPO-PG, a federated multi-agent reinforcement learning framework for transient stability control in smart grids. The system achieved 100% stabilization in simulations on the IEEE 39-bus benchmar…