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2026-09-19

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cloudflare/security-audit-skill

JavaScript · ★ 13,515 · 🍴 723 · 📈 3,019 stars today

A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings

中文介绍 Cloudflare的安全审计技能,用于多阶段安全审计,提供机器可读的验证结果,适用于代码安全审计工作流。

anthropics/claude-code

TypeScript · ★ 146,262 · 🍴 23,777 · 📈 442 stars today

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

中文介绍 Claude Code是一个终端中的智能编码工具,通过执行常规任务、解释复杂代码和处理Git工作流来提高编码效率。

alibaba/open-code-review

Go · ★ 36,608 · 🍴 2,607 · 📈 2,724 stars today

Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

中文介绍 阿里开源的代码审查工具,采用混合架构,结合确定性管道和LLM代理,提供精确的行级注释和多语言规则集。

affaan-m/ECC

JavaScript · ★ 262,011 · 🍴 39,205 · 📈 965 stars today

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

中文介绍 ECC是一个性能优化系统,为Claude Code、Codex、Opencode等提供技能、本能、记忆、安全和研究优先的开发支持。

Tencent/BrowserSkill

TypeScript · ★ 5,247 · 🍴 364 · 📈 1,319 stars today

Let AI agents use your real, logged-in browser without interrupting your work. CLI + extension for browser automation across any shell-capable AI agent.

中文介绍 Tencent的浏览器技能,允许AI代理在不打扰用户工作的情况下使用登录的浏览器,适用于任何支持shell的AI代理。

addyosmani/agent-skills

JavaScript · ★ 96,372 · 🍴 10,186 · 📈 677 stars today

Production-grade engineering skills for AI coding agents.

中文介绍 为AI编码代理提供生产级工程技能,适用于需要高效编码的团队。

TencentCloud/Octop

Python · ★ 3,934 · 🍴 405 · 📈 571 stars today

A smarter, self-hosted AI assistant — multi-user, multi-agent.

中文介绍 腾讯云的Octop是一个智能的、自托管的AI助手,支持多用户和多代理协作。

Fission-AI/OpenSpec

TypeScript · ★ 69,315 · 🍴 4,748 · 📈 298 stars today

Spec-driven development (SDD) for AI coding assistants.

中文介绍 OpenSpec是针对AI编码助手的规范驱动开发工具,用于提高开发效率和代码质量。

ankitects/anki

Rust · ★ 31,194 · 🍴 3,237 · 📈 177 stars today

Anki is a smart spaced repetition flashcard program

中文介绍 Anki是一个智能间隔重复闪卡程序,适用于记忆学习。

anthropics/knowledge-work-plugins

Python · ★ 24,861 · 🍴 2,969 · 📈 300 stars today

Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork

中文介绍 Anthropics的知识工作插件库,提供一系列插件,旨在帮助知识工作者提高效率。

supermemoryai/supermemory

TypeScript · ★ 30,243 · 🍴 2,640 · 📈 140 stars today

Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.

中文介绍 Supermemory是一个内存和上下文引擎,提供快速、可扩展且本地运行的内存API,适用于AI时代。

tradesdontlie/tradingview-mcp

JavaScript · ★ 6,453 · 🍴 2,717 · 📈 64 stars today

AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation

中文介绍 TradingView图表分析的AI辅助工具,将Claude Code连接到TradingView桌面,实现个人工作流程自动化。

rustfs/rustfs

Rust · ★ 33,136 · 🍴 1,483 · 📈 298 stars today

RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platforms such as MinIO and Ceph.

中文介绍 RustFS是一个开源、与S3兼容的高性能对象存储系统,支持与其他S3兼容平台的迁移和共存。

supabase/supabase

TypeScript · ★ 110,128 · 🍴 14,291 · 📈 128 stars today

The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

中文介绍 Supabase是一个Postgres开发平台,提供专用的Postgres数据库,用于构建Web、移动和AI应用程序。

coder/coder

Go · ★ 15,264 · 🍴 1,503 · 📈 478 stars today

Secure environments for developers and their agents

中文介绍 Coder为开发者和他们的代理提供安全的环境,适用于需要远程开发和协作的场景。

ahmedkhaleel2004/gitdiagram

TypeScript · ★ 16,445 · 🍴 1,254 · 📈 145 stars today

Free, simple, fast interactive diagrams for any GitHub repository

中文介绍 Gitdiagram提供免费、简单、快速的GitHub仓库交互式图表,用于可视化代码关系。

asciimoo/hister

Go · ★ 4,938 · 🍴 204 · 📈 842 stars today

Your own search engine

中文介绍 Hister是一个自建的搜索引擎,允许用户在本地环境中进行搜索。

Self-Evolving Search Index

👍 7

Information retrieval is increasingly important as LLM agents tackle complex tasks involving diverse information needs. Because retrieval relies on an index that represents each document through index keys, retrieval quality depends heavily on how effectively these keys expose the knowledge containe

FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations

👍 5

Modeling articulated objects from sparse monocular views is challenging because each observation reveals only partial geometry and motion evidence. Most feed-forward methods infer articulation from a single observation and therefore rely heavily on learned category-level shape priors. We present FAM

WeVisDoc: From Coverage to Capability for Robust End-to-End Document Parsing

👍 9

Document parsing converts document images into structured content and requires reliable performance across diverse layouts and acquisition conditions. Yet training corpora are biased toward common document types and clean digital pages, while expanding coverage alone does not specify how to address

What Does Privileged Information Add to On-Policy Self-Distillation?

👍 4

On-policy self-distillation (OPSD) lets a language model learn from a frozen copy of itself that sees an answer or a worked solution. Giving the teacher this extra information seems to offer the student more to learn, but how much does it add beyond distillation itself? To isolate that contribution,

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

👍 57

The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation, prefill remains computationally expensive, and large KV caches continue to strain HBM and SSD capacity and data-transf

JEPA-Anything: Learning Predictive Models across Different Worlds

👍 23

World modeling enables intelligence to anticipate consequences, guide interventions, and learn from interaction. Yet predictive models remain domain-specific: can a common learning principle support world modeling across radically different systems? We introduce JEPA-Anything, a domain-agnostic fram

Region-Level Policy Optimization for Fine-grained MLLM Perception

👍 3

Fine-grained visual perception in MLLMs is commonly improved by raising the resolution, but the added visual tokens inflate vision-encoding and language-model prefilling costs. We show that the two operations underlying fine-grained perception, localizing the region of interest (RoI) and recognizing

SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness

👍 46

As coding agents move from supervised code completion to unattended, around-the-clock exploration, their work expands from isolated predictions into long trajectories of reasoning, tool use, and feedback. Token efficiency therefore becomes important for scaling recursive self-improvement. We take an

An Empirical Study of Harness Design for Coding Agents

👍 37

Coding harnesses shape how autonomous coding agents translate model capabilities into long-horizon software-engineering performance, yet existing work typically evaluates harnesses as monolithic systems, leaving the effectiveness of individual components unclear. To enable component-level comparison

PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?

👍 2

As corporate AI adoption continues to grow, enterprise-grade LLM agents are being deployed into sensitive contexts such as hiring, healthcare, and finance. In these contexts, compliance with rules specified in an agent's system context is a first-order legal concern. Currently, no evaluation framewo

CERA-MoA: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents

👍 5

Current Mixture-of-Agents (MoA) paradigms generally treat query routing and agent fine-tuning as separate processes, limiting their ability to respond to evolving agent capabilities. This disconnect prevents routing strategies from adapting to evolving agent capabilities during post-training and pre

In-Context Robot Learning with VLM Agents

👍 16

Enabling robots to adapt to unfamiliar environments as readily as humans remains a moonshot goal of embodied AI. No finite collection of demonstrations can cover every task and situation a robot will encounter, making the ability to learn from context at deployment essential for generalization. Such

PANORAMA: Panoptic Grounded Captioning via Mask Proposal Selection

👍 9

Intelligent systems that act in the world require image understanding that is both comprehensive and spatially grounded. Current vision-language models (VLMs) can generate fluent and detailed image captions, but reliably associating them with image pixels remains challenging. Existing methods that c

A Zeroth-Order Paradigm for LLM Preference Alignment

👍 22

Direct preference alignment methods are widely used to align large language models (LLMs) with human preferences because of their computational and memory efficiency. However, likelihood displacement motivates alternative ways to extract information from preference pairs with small likelihood margin

Verifiable Social Reasoning for LLM Assistants

👍 13

LLM assistants are widely used for daily social advice, yet evaluating their social reasoning in such consultation settings remains challenging since (i) it requires setups where the assistant learns about social situations from subjective user narratives, and (ii) social properties, such as others'

Reflect, Revise, Reuse: Training-Free Skill Evolution for GUI Agents

👍 11

GUI agents execute long-horizon tasks on dynamic graphical user interfaces, where pop-ups, delayed loads, and relocated widgets routinely invalidate plans fixed before execution. Recent agent-skill frameworks encapsulate reusable procedural knowledge to mitigate this, yet existing skill designs are

Fathom: Per-Query Read Depth for Sparse Decoding over Offloaded KV Caches

👍 2

When agentic sessions run to a million tokens with many sessions resident at once, the KV cache and the index that ranks it live in host memory, and the scan that ranks all n keys for a top-k step becomes the traffic that bounds decoding. We present Fathom, a key scan in which each query decides how

Flattening Every Memory Peak in Long-Context Mixture-of-Experts Training

👍 10

Training a Mixture-of-Experts (MoE) model at long context or large batch size fails as soon as any one component's peak allocation exceeds device memory, so the target is every peak at once, not the average footprint. Four are left unbounded by the parallelism plans in common use, and each grows dif

Make money, make no mistakes.

@sandylikesfrogs · 3.9K 粉丝 · 367.0K 阅 · 512 赞 · 36 转

What we learned making our first $75 with an AI-run business. In July, we decided to see if an AI agent could run a company that could actually make money. We gave Devin a Ramp card, a phone number

中文介绍 分享用 AI 代理赚取第一笔 75 美元的心得,涉及 Ramp 卡和电话号码的使用。

Its time to talk about ‘model welfare’

@mustafasuleyman · 1.1M 粉丝 · 204.3K 阅 · 502 赞 · 86 转

AIs are not conscious. They do not feel, experience, or suffer. However, there’s a growing movement in support of model welfare; the idea that we might soon owe them a duty of care. I think this

中文介绍 探讨 AI 模型福利,认为我们可能很快需要对它们承担关怀责任。

GPT-6 Astra + DaVinci MCP (Beginner Tutorial)

@Sabrina_Ramonov · 7.1K 粉丝 · 160.5K 阅 · 518 赞 · 398 转

I talk to business owners who have piles of photos and videos, but no time to post to social media. They don't know what caption to write. They don't know how to edit videos. So, all that good

中文介绍 介绍 GPT-6 Astra 和 DaVinci MCP 的入门教程,针对企业主在社交媒体上的图片和视频处理问题。

WTF Is Jev? 9 Things People Are Already Building With It

@mvanhorn · 40.4K 粉丝 · 103.6K 阅 · 550 赞 · 37 转

Here is the tl;dr ELI5. Think AI multiple choice, not AI essay writing. It doesn't chat. It makes decisions your software can act on: "Spam or not?" "Which tool should this agent use?" "Does this need

中文介绍 介绍 Jev 工具的 9 个应用场景,强调其作为 AI 多选题工具而非作文写作工具的特点。

Building a Harness with Jev

@sydneyrunkle · 10.6K 粉丝 · 88.0K 阅 · 556 赞 · 66 转

Agents run in a loop: an LLM decides what to do, a tool executes, a model evaluates the results, and then continues in that loop until the task is complete. Agents and LLMs were initially difficult to

中文介绍 讲解如何使用 Jev 构建自动化工作流程,涉及 LLM 决策、工具执行和模型评估等环节。

How we built Hermes to support our entire team

@JacquelineSYC19 · 1.0K 粉丝 · 72.4K 阅 · 501 赞 · 47 转

At the time of writing, Artie is a team of 17. Every one of us works alongside Hermes, an open-source AI agent harness from @NousResearch. It runs on a single physical machine in Germany, has a

中文介绍 介绍团队如何构建 Hermes AI 代理,支持 17 人团队在德国服务器上的运行。

Introducing the DeepMind Institute

@ShaneLegg · 82.3K 粉丝 · 40.6K 阅 · 585 赞 · 86 转

We are on the cusp of a profound transformation. Today’s AI systems have impressive capabilities and the rapid pace of innovation suggests we’re now approaching artificial general intelligence (AGI),

中文介绍 介绍 DeepMind 学院,讨论 AI 系统的能力和迈向通用人工智能 (AGI) 的可能性。

AI Agents Are Moving Beyond Chat

@Didotxyz_ · 64.6K 粉丝 · 5.7K 阅 · 502 赞 · 325 转

The important shift in AI agents is not the disappearance of chat. It is that chat is no longer the whole product. An assistant explains a task. An agent system has to carry it forward: call a tool,

中文介绍 指出 AI 代理的重要转变在于聊天不再是全部,而是任务执行和工具调用的延伸。

Could AI really kill us all? Your questions, answered.

On Wednesday, MIT Technology Review hosted a live Roundtables event for subscribers that asked the question everyone’s asking right now: Could AI really kill us all? But attendees had so many more questions than we had time to answer in the 30 minute session. So we asked our senior AI editor Will Do

中文介绍 MIT Technology Review举办了一场关于人工智能可能对人类构成威胁的圆桌讨论,讨论了与会者提出的问题。

How Cooley is accelerating IPO work with ChatGPT

Cooley built GO Public with ChatGPT Work to bring intelligence to the IPO process, helping lawyers surface issues earlier and focus judgment where it matters most.

中文介绍 Cooley利用ChatGPT构建GO Public,旨在提高IPO流程的效率。

Introducing Astra for Law

OpenAI for Law brings frontier intelligence for law, custom firm workflows, connected legal data sources, and legal-grade controls for confidential client work.

中文介绍 OpenAI推出Astra for Law,提供法律领域的先进智能服务。

Our framework for reporting model misalignment

OpenAI shares a framework for tracking, investigating, and disclosing model misalignment, alongside six reports of unexpected or concerning model behavior.

中文介绍 OpenAI分享了一个跟踪、调查和披露模型偏差的框架,并发布了六份关于意外或令人担忧的模型行为的报告。

Helping older adults use AI in everyday life

OpenAI and AARP are bringing free, hands-on ChatGPT workshops to 1,000 older adults across 10 U.S. cities to build practical AI skills safely.

中文介绍 OpenAI与AARP合作,为美国10个城市1000名老年人提供免费的ChatGPT研讨会,以安全地建立实用的AI技能。

Reimagining advertising with AI

Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify.

中文介绍 OpenAI探索新的AI驱动的广告体验,包括赞助代理、营销工具和与HubSpot和Shopify的集成。

Building the materials foundation for AI

The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits around performance, thermal management, ele

中文介绍 随着人工智能的发展,材料问题日益凸显,半导体和数据中心的性能接近物理极限。

Hex turns complex analysis into visual reports with GPT‑6 Astra

GPT-6 Astra helps Hex’s data agents turn answers into interactive visualizations that employees are proud to share.

中文介绍 GPT-6 Astra帮助Hex的数据代理将答案转化为员工乐于分享的交互式可视化报告。

How to connect AI usage to business value

Learn how ChatGPT Work and Codex analytics help teams understand AI usage and spend, identify training needs, and connect adoption to business outcomes.

中文介绍 了解如何通过ChatGPT Work和Codex分析帮助团队理解AI使用情况,识别培训需求,并将采用与业务成果联系起来。

US and Denmark reach deal over Greenland's security

Trump said the agreement will give the US "permanent control over security, and all other needs, in Greenland", though specifics haven't been confirmed by Danish officials.

中文摘要 美丹达成协议,美国将获得格陵兰岛永久安全控制权,丹方尚未确认具体细节。

Latvia’s president warns that Europe is not up to date with drone and aerial warfare in Ukraine

Edgars Rinkēvičs reveals that drone warfare in Ukraine is moving at ‘lightning speed’ and current efforts to prepare for an aerial war could be obsolete by next year Latvia’s president has warned that Europe is not keeping up with developments of drone and aerial warfare in Ukraine and that most cou

中文摘要 拉脱维亚总统警告,欧洲在无人机和空中作战方面落后于乌克兰局势发展。

Men deported from US bound and beaten in Equatorial Guinea detention hotel, lawyers say

Group trapped at Hotel Bamy after US removal as rights groups sound alarm over poor conditions and violence Two men that the Trump administration expelled to Equatorial Guinea were bound, fitted with bags over their heads, beaten and pushed down a flight of stairs, all in plain view of other US depo

中文摘要 两名被特朗普政府驱逐至赤道几内亚的男子被绑、蒙头并遭受殴打,律师称。

Protests Erupt in Nigeria After Police Pack 66 Miners Into One Cell

Thirty-seven people died in the authorities’ custody, officials said. Survivors said the cell had barely any ventilation, food, or water and people began “collapsing and dying.”

中文摘要 尼日利亚抗议警方将66名矿工关押在一个牢房中,导致37人死亡。

Trump bans major US news outlets from White House

President bars CNN, MS Now and Politico as he escalates assault on media

中文摘要 特朗普总统禁止CNN、MS Now和Politico等主要美国新闻机构进入白宫。

$370 'Home Alone Sundae' on The Plaza's Menu

Bloomberg's Lisa Mateo joins Scarlet Fu and Tom Keene on "Bloomberg Money." They discuss New York City's Plaza Hotel as it is set to welcome events and guests tied to the United Nations General Assembly and the Qatar Economic Forum. The menu includes the $370 "Home Alone Sundae". (Source: Bloomberg)

中文摘要 纽约广场酒店菜单推出370美元的《小鬼当家》主题冰激凌,庆祝联合国大会和卡塔尔经济论坛。

JOOPITER Head of Sales on Michael Jordan Jersey Auction

Caitlin Donovan, the Global Head of Sales at JOOPITER, discusses the rapid growth of sports memorabilia as an alternative asset class, saying the category is one of the fastest-growing parts of the collectibles market. JOOPITER, the digital auction house founded by Pharrell Williams in 2022, has put

中文摘要 JOOPITER销售负责人Caitlin Donovan讨论体育纪念品作为另类资产类别的快速增长。

'Dressing The Man', 'Preppy Handbook': Must-Read Fashion Books

Bloomberg's Chris Rovzar joins Scarlet Fu and Tom Keene on "Bloomberg Money" to discuss the must-read fashion books. (Source: Bloomberg)

中文摘要 Bloomberg的Chris Rovzar与Scarlet Fu和Tom Keene讨论必读的时尚书籍。

British data centre group Nscale files for $35bn US listing

Start-up has won a huge contract to supply computing power to Anthropic

中文摘要 英国数据中心集团Nscale申请35亿美元的美国上市,已获得向Anthropic提供计算能力的大合同。

Shoppers Rediscover Joy of Dressing Up, Suit Sales Jump

Bloomberg's Chris Rovzar joins Scarlet Fu and Tom Keene on "Bloomberg Money." They discuss the resurgence in suit sales for both men and women. (Source: Bloomberg)

中文摘要 男女西装销售回升,消费者重新发现着装打扮的乐趣。

RFK Jr.-Linked Group Offered Access to US Officials for Fee

A nonprofit group with ties to US Health and Human Services Secretary Robert F. Kennedy Jr. solicited payment from companies in exchange for access to top agency officials at an upcoming event. John Tozzi explains. (Source: Bloomberg)

中文摘要 与罗伯特·肯尼迪 Jr.有联系的团体为获取接触美国官员的机会而收费。

When Building Wealth, Don't Be A Hedge Fund: BNY's Levine

Alicia Levine, chief investment officer at BNY Wealth, joins Scarlet Fu and Tom Keene on "Bloomberg Money." They discuss retirement planning, building wealth and asset allocation. (Source: Bloomberg)

中文摘要 BNY Wealth的首席投资官Alicia Levine讨论退休规划、积累财富和资产配置。

Diversify Capital & 'Let It Run': BNY's Levine

Alicia Levine, chief investment officer at BNY Wealth, joins Scarlet Fu and Tom Keene on "Bloomberg Money." They discuss retirement planning, building wealth and asset allocation. (Source: Bloomberg)

中文摘要 BNY Wealth的首席投资官Alicia Levine讨论多元化资本和投资策略。

Own Stocks, Trim Govt Bond Holdings: KKR's McVey

Henry McVey, partner, head of global macro and asset allocation and CIO of the KKR's balance sheet, joins Scarlet Fu and Tom Keene on "Bloomberg Money." (Source: Bloomberg)

中文摘要 KKR合伙人、全球宏观和资产配置负责人兼首席投资官Henry McVey建议持有股票,减持政府债券。

Hedge Funds Turned Bullish on Yen for First Time Since Mid-2025

Hedge funds turned positive on the yen for the first time since July 2025, a noteworthy shift in sentiment weeks after US and Japanese authorities intervened in the market to support the currency.

中文摘要 对冲基金自2025年7月以来首次对日元持乐观态度,这一转变发生在美日当局干预市场以支持日元之后。

该源今日无内容。