今日必看

What Is an Agent Multiplexer?

Why Codex burns a weekly limit in a day

1,200 agents, 18 specialists, agent harness, TribeAI, FamilyOffice and OffChat

Show HN: Stroq – block commands injected through MCP tool output

Every binding AI review Washington has proposed has come back voluntary

Solve@Home: An open version of OpenAI's 10k-agent approach to hard math

Orca – The Agent Development Environment

They Stole Our Code, Now They Want Our Brains (March 2026)

Git-native task management for local coding agents without MCP

Terminal velocity: the shell tools that make Claude Code fly

Show HN: MCP server manager: KyttoMCP – in beta

Hi everyone, I’m interested in MCP configs and came up with an idea for an app that could manage MCP servers across clients like Cursor, Claude Code, Codex, Claude Desktop, and VS Code, keeping everything in one place. So, I built KyttoMCP—an app that tracks your configs and cent

Let AI Agents Rewrite a 92M-Message-a-Day Node Service to Go

github / spec-kit

💫 Toolkit to help you get started with Spec-Driven Development

Marketing ops as code: Automating events from planning to follow-up on GitHub

I run marketing for GitHub in Japan and Korea, and events are the heartbeat of it: a recurring webinar series for enterprise developers, community meetups in Tokyo, invite-only executive sessions in Seoul. What does a developer in this market actually need right now? Which topics

GIF: Agentic Generation of Interactive and Functional Object Compositions for Robot Learning

arXiv:2609.05927v2 Announce Type: replace Abstract: Robot manipulation foundation models require scalable evaluation and data generation across diverse scenarios, with simulation providing an environment for both. Automated scene generation offers a promising path, yet prior work

Harness Robotic OS: A Unified Embodied-Agent Runtime for Closed-Loop Quadruped Inspection

arXiv:2609.11225v1 Announce Type: new Abstract: Autonomous property inspection requires more than robust robot navigation: a deployable system must connect heterogeneous sensing, reusable autonomy capabilities, multimodal scene understanding, human interaction, and enterprise res

2AM: Grounding Agent-Side Memory as Guidance for Steerable Action Models in Long-Horizon Manipulation

arXiv:2609.11308v1 Announce Type: new Abstract: Long-horizon robot manipulation requires memory, but not necessarily inside the action policy. To address such tasks, current agentic systems often combine VLAs with planners and geometric tools, sometimes using additional depth or

Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses

arXiv:2609.05736v2 Announce Type: replace Abstract: LLM tool agents can be improved without retraining by modifying the runtime harness around a fixed model: prompts, tool interfaces, middleware, state handling, and recovery logic. We study this setting as resource-bounded harnes

CamPilot: A Multi-Agent Cinematic Assistant for Camera-Controlled Movie Generation

arXiv:2609.10943v1 Announce Type: new Abstract: The integration of large language models (LLMs) into video generation has enabled rapid text-to-video creation and improved visual quality. However, it still falls short of professional filmmaking, where cinematographic language is

Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design

arXiv:2609.10132v1 Announce Type: cross Abstract: The development of generative artificial intelligence resources enables opportunities of speeding up systems and engineering design work. This contribution introduces a framework of formal operations for assembling context in LLM

KernelGenBench: Can LLMs and Agents Write Efficient Kernels Across Operator Sources and Hardware Platforms?

arXiv:2607.27231v3 Announce Type: replace Abstract: Modern AI systems depend on specialized accelerator kernels, whose development is complicated by increasingly diverse operators and hardware. LLMs and agentic systems promise to automate this work, but existing evaluations do no

Multi-Agent Agentic Graph Learning via Structural Signatures

arXiv:2609.09565v1 Announce Type: new Abstract: Agentic graph learning (AGL) has recently achieved promising results on graph reasoning tasks, where an agent powered by a large language model (LLM) sequentially samples the graph as evidence to support its final prediction. Existi

Rapid Learning of Dexterous In-Hand Pen Writing through Real-Time Jacobian Estimation

arXiv:2609.11775v1 Announce Type: new Abstract: Dexterous in-hand manipulation of a grasped object with an anthropomorphic hand is an unsolved frontier for robot dexterity. The contact-richness and highly dynamic nature of object-hand interactions tend to require extensive modeli

SwarmNxt: Open-source Software-Hardware Platform for Fast and Agile Aerial Swarms

arXiv:2609.11382v1 Announce Type: new Abstract: Aerial robot swarms have the potential to transform time-critical safety, security, and search-and-rescue operations. By coordinating multiple robots, they can rapidly survey disaster sites, map collapsed or GPS-denied environments,