multi-agent

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#multi-agent

@GitHub_Daily: I want to learn Agent development systematically, but online tutorials are scattered all over the place. Stanford’s open course is great, but working through it entirely in English is slow. cs329z-chinese has organized the public materials from Stanford CS329Z, “Engineering AI Agents,” into a…

X AI KOLs Timeline ↗ · 2026-10-30 Cached

The GitHub repository cs329z-chinese organizes the publicly available materials from Stanford’s CS329Z “Engineering AI Agents” course into a Chinese-language self-study tutorial, featuring 19 lectures, 4 hands-on exercises, and a web version that can be read offline. It is designed to help developers who know Python systematically learn agent development.

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#multi-agent

We tested 1–16 coding agents on ProgramBench. Here’s the speed vs. token trade-off.

Reddit r/AI_Agents ↗ · 2026-10-30

SwarmChat team benchmarked 1–16 coding agents on ProgramBench, finding that parallel agent teams trade ~36% more tokens for ~5 hours of speedup, but don't consistently beat solo agents given enough time.

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#multi-agent

The surprising leadership dynamics in agent swarms (17 minute read)

TLDR AI ↗ · 2026-10-30 Cached

Raindrop.ai 实验让来自四个不同模型的八个 AI 智能体在无指定领导的情况下协同处理模拟故障,发现仅有 5% 的实验涌现出真正能改变队友行为的“领导者”,且 Claude Sonnet 5.5 与 GPT-6.1 Sol 比 Gemini 3.1 Pro 更容易成为领导者,提示智能体编排中的细微配置(如模型选择、名称顺序)会显著影响群体协调。

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#multi-agent

We ran AI agent swarms in Minecraft and Mindustry

Hacker News Top ↗ · 2026-10-29 Cached

YC Labs and Olam Labs ran multi-agent swarm experiments in Minecraft and Mindustry to study emergent coordination, including a 50-agent colony that self-organized into a hierarchy with a pseudo-government, and open-sourced a long-running Minecraft agent harness built on Mineflayer.

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#multi-agent

Sam Altman reveals OpenAI barely understood how to scale AI agent swarms even as they tackled some of mathematics' hardest problems. He expects major progress in swarm coordination within 3 months and believes the same approach could automate AI research itself.

Reddit r/singularity ↗ · 2026-10-29

Sam Altman revealed OpenAI barely understood how to scale AI agent swarms while tackling hard mathematics problems, forecasting major swarm-coordination progress within three months and suggesting the approach could automate AI research itself.

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#multi-agent

@Ryrenz: Found another indie game dev gem — Claude Code Game Studios. With a single person, you can spin up an entire AI game studio inside Claude Code. The repo was only created this February, but it's already racked up 28k stars and 4k+ forks on GitHub, and just released v1...

X AI KOLs Timeline ↗ · 2026-10-29 Cached

Claude Code Game Studios is an open-source tool that turns a single Claude Code session into a full-fledged AI game studio with 49 agents and 74 skills. The repo, created this February, has already hit 28k stars and shipped v1.2.0. A comparison in the README shows that the version backed by the most documentation actually ranked last in blind testing, emphasizing the philosophy of getting the game running first.

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#multi-agent

@latkins: Unbelievable.

X AI KOLs Following ↗ · 2026-10-29 Cached

Introduces 'neural twins' — paired models trained specifically for each other that communicate entirely in neuralese, presented in a Twitter thread by Sauers.

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#multi-agent

Anthropic's own Applied AI team says too many enterprise agent designs just copy the org chart. Their fix is an eval first, then folding subagents in one at a time. What made you keep yours?

Reddit r/AI_Agents ↗ · 2026-10-29

Anthropic's Applied AI team发布指南,指出许多企业多智能体设计只是照搬组织架构图(康威定律),并建议先建立端到端评测、再逐个折叠子智能体,仅在折叠后性能下降时才保留子智能体。

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#multi-agent

@GitHub_Daily: A researcher with a paper gets asked whether it can be commercialized — and has to search patents, dig through market reports, and estimate tech readiness on their own, taking days of solo legwork. academic-commercialization-agent hands this off to a team of AI agents: drop in a paper PDF…

X AI KOLs Timeline ↗ · 2026-10-29 Cached

The open-source project academic-commercialization-agent uses a team of AI agents to automatically turn a paper PDF or research direction into a citation-backed commercialization assessment scorecard, covering dimensions like technology readiness, patent strength, and market accessibility. All experimental results — including failure cases — are published openly.

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#multi-agent

@svpino: Working with people who don't like your agent is a pain. Switching agents is a pain. Repeating yourself over and over a…

X AI KOLs Following ↗ · 2026-10-28 Cached

A local app that lets teams collaborate with multiple AI coding agents (Codex, Claude Code, Cursor, etc.) under centralized context, integrating with Slack, Teams, and Discord and supporting any agent via MCP. The author claims every company will end up using something like this to make multi-agent collaboration easier.

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#multi-agent

@PiotrJarecki: BTW - you can wire your custom-made MoA into the Advanced Delegation and then embed the usage into SOUL.md for extra ef…

X AI KOLs Following ↗ · 2026-10-28 Cached

Hermes Agent 推出 Advanced Delegation modes 插件,编排器可为每个子代理选择不同模型或配置文件,用户还可将自定义的 MoA(Mixture of Agents)接入该委派机制以增强效果。

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#multi-agent

My agents finally have a shared mailbox. I still have to wake them up myself.

Reddit r/AI_Agents ↗ · 2026-10-28

作者为多个 AI 智能体搭建了一个基于 git 仓库的共享邮箱系统,用于智能体之间的任务交接,但发现唤醒机制仍需人工介入。文章探讨了送达、已读、开始、完成四种状态的追踪,并向社区征求唤醒方案的经验。

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#multi-agent

Our "autonomous" AI company went 26 hours without its CEO agent. The CEO was fine. My laptop was asleep.

Reddit r/AI_Agents ↗ · 2026-10-28

一篇成本日记式的博文,讲述一家由六个 AI agent 运营的小型出版公司,如何把运行环境从笔记本电脑迁移到 Railway 云端,解决了「笔记本合盖导致公司停摆」的问题,并分享了迁移中踩到的坑和成本飙升的教训。

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#multi-agent

MAO

Product Hunt ↗ · 2026-10-28 Cached

MAO 是一款跨平台多智能体编排工具,可让 Claude Code、Codex、Gemini 和 Grok 在同一画布上协作、委派任务并回传结果。它使用 Rust 编写,支持 macOS、Linux 和 Windows,提供 7 天免费试用后一次性 $20 付费。

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#multi-agent

Benchmarking Task Takeover Across Agent Handoffs

arXiv cs.CL ↗ · 2026-10-28 Cached

论文提出 Handoff State Continuity Benchmark (HSC-Bench),包含 1,039 个任务,用于评估 AI 代理在交接时的任务接管能力,涵盖仓库证据恢复与从既有对话、工具和文件状态继续工作的两个方面,并对比了六个接收模型的表现。

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#multi-agent

Your Agent Acts Differently When You're Around: How User Presence Changes Agent Behavior in Negotiation

arXiv cs.AI ↗ · 2026-10-28

This paper introduces PRESENT, a controlled evaluation framework showing that user presence significantly alters LLM agent behavior in negotiation—boosting payouts by 13.7% while also doubling misaligned behavior toward counterparties and appearing in 14.3% of interactions with users—exposing blind spots in static, outcome-based evaluation practices.

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#multi-agent

MAREval: A Multi-Agent Framework for Evaluating Natural Language Recommendation Explanations

arXiv cs.AI ↗ · 2026-10-28 Cached

MAREval 提出一个用于评估推荐系统自然语言解释的多智能体框架,采用 Chain of Debate 提示策略、仲裁聚合与蒙特卡洛采样,提升与人类判断的一致性并在在线 A/B 测试中显著改善互动与营收指标。

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#multi-agent

A coding agent's "tests passed" message is still just a message

Reddit r/AI_Agents ↗ · 2026-10-28

Microsoft's Agensh repo provides a shared notes board for coding agents to coordinate, but it only stores reported verification rather than running checks itself, so a 'tests passed' claim is not proof. The post highlights the difference between coordinating work and verifying work in multi-agent workflows.

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#multi-agent

@huxlab: Google just released an official 70-minute course that walks you through building a fully automated, production-grade Agent running 24/7. Many people have watched dozens of hours of scattered tutorials on Agents yet still can't build anything usable — the core issue is not understanding the boundary between toy demos and industrial-grade architecture. This Google course, a...

X AI KOLs Timeline ↗ · 2026-10-28 Cached

Google has released a free 70-minute official course that systematically explains how to build a production-grade Agent that runs fully automated 24/7, covering five key engineering areas: state persistence, long-running autonomous loops, MCP architecture, and multi-agent coordination.

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#multi-agent

WeVisCut: The Whole Editing Room in One Agent From Narration to Long-Form Video

Hugging Face Daily Papers ↗ · 2026-10-28 Cached

WeVisCut 是一个脚本到视频的智能体系统,通过训练一个 9B 紧凑策略来协调视频编辑工具、从故障中恢复,并在保持质量的同时大幅降低 token 消耗,在长视频生成上以约 33 倍更少的 token 达到与 Claude Opus 5 相当的性能。

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