Researchers propose a solution for smart manufacturing using LLM-based agents to generate production sequences, handle runtime faults, and coordinate over MQTT with real-time updates of the factory state.

Researchers studied multi-user, multi-agent teams and found that teams often deliver worse outcomes than a single coordinator. They identified distinct behaviors causing this poor performance and proposed environment-specific mitigations.

A new open-source memory and judgment layer for AI coding agents records development as an append-only log of typed events and provides a deterministic summary through the Model Context Protocol. This allows for project-specific rationale retention and repeat failure prevention.

Researchers present SkillSeek, an open-source two-stage skill retriever for LLM agents, achieving parity with LLM-mediated retrieval loops at a significantly reduced cost. The SkillSeek system uses a standard IR recipe and is exposed over MCP, making it a strong default for agent-skill retrieval.

Cascadia is a control-plane-free system for serving large language models on commodity hardware, using a libp2p QUIC mesh for peer-to-peer communication and a certificate authority for admission and fleet management.

Grist is an open-source coding harness that uses the Opencode v2 framework, leveraging the jev model for task routing and integrating with cheaper models like deepseek and Opus 5.5. It also incorporates the Sol-Pi methodology for cost-cutting and loads engineering standards through Doctrine injection. The tool has a real control plane for escalation, permission, and verification hooks, and can be run with a key from Openrouter or Vercel AI gateway. It also supports connecting to Meta Muse for coding tasks.

Cloudflare Registrar has revamped its domain search experience, now showing exact search terms across all supported extensions as you type. The new search also includes registered domains and allows filtering by availability.

DeepMind announces Gemini 4 Argon, a new era of frontier intelligence, with advancements in large language models and model context protocols.

This paper introduces Grid-Orch, an LLM-powered orchestrator for distribution grid simulation and analytics. It bridges LLMs and power system simulation through the Model Context Protocol, enabling engineers to perform complex analyses via natural language. The platform supports cloud-hosted and locally deployed models, includes 36 domain-specific tools, and extends to multi-step engineering workflows.

This paper presents the Active Provenance Gate (APG), a post-debate verification layer for Large Language Model-based Multi-Agent Debate (MAD) systems. APG treats source material as a hard constraint, analyzing debate logs, auditing claims, and applying self-correction. It increases data Provenance Fidelity and generates divergence reports, improving the accuracy of summaries.

A new safety-bounded gateway has been proposed for medical AI agents using the Model Context Protocol (MCP). This gateway exposes device state and action affordances while maintaining deterministic constraints on possible effects.

This paper presents an architectural mediation approach using the Model Context Protocol (MCP) to enable controlled interaction between large language model (LLM) agents and data space services, allowing for interoperable and standards-aligned integration of AI agents into data space ecosystems.

Cloudflare releases EmDash 1.0, a stable and secure CMS built on Astro, with a decentralized plugin registry and support for MCP, CLI, and API. The CMS is free and open-source, and has been tested with real-world deployments and security measures.

Cloudflare has released a new CLI called cf that provides access to the entire Cloudflare API, enabling agents to perform any action with Cloudflare. This CLI is designed for the next generation of software development and offers a unified interface for agents.