Python · ★ 60,421 · 🍴 18,864 · 📈 3,890 stars today
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
中文介绍 MadsLorentzen/ai-job-search 提供基于AI的职位搜索框架，自动评估职位、定制简历、撰写求职信和准备面试，适用于个人或团队使用。
JavaScript · ★ 34,058 · 🍴 2,125 · 📈 1,680 stars today
A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings
中文介绍 cloudflare/security-audit-skill 是一款用于多阶段安全审计的编码代理技能，提供机器可读的验证结果，适用于安全审计和网络安全领域。
TypeScript · ★ 99,674 · 🍴 6,318 · 📈 1,559 stars today
Orca is the place for working with a fleet of agents (e.g. Grok Bot, Claude Code). Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.
中文介绍 stablyai/orca 是一个多代理工作平台，支持运行各类编码代理，如 Grok Bot 和 Claude Code，适用于桌面、移动和远程运行环境。
JavaScript · ★ 169,560 · 🍴 9,222 · 📈 1,396 stars today
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
中文介绍 DietrichGebert/ponytail 旨在让AI代理思考方式更接近懒惰的高级开发者，通过优化代码，降低开发难度。
Python · ★ 140,718 · 🍴 16,658 · 📈 1,201 stars today
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
中文介绍 Comfy-Org/ComfyUI 是一款功能强大的扩散模型GUI、API和后端，提供图形/节点界面，适用于本地推理引擎。
TypeScript · ★ 77,809 · 🍴 9,153 · 📈 683 stars today
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
中文介绍 ruvnet/ruflo 是一款智能多玩家蜂群部署工具，支持自主工作流程协调和对话式AI系统构建，适用于需要自适应记忆和自我学习智能的场景。
Python · ★ 130,174 · 🍴 12,537 · 📈 906 stars today
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
中文介绍 Graphify-Labs/graphify 将代码库、文档、SQL模式、配置和PDF转换为可查询的知识图，适用于Claude Code、Cursor、Codex和Gemini CLI等。
TypeScript · ★ 218,864 · 🍴 29,203 · 📈 1,256 stars today
The open source coding agent.
中文介绍 anomalyco/opencode 是一款开源编码代理，适用于需要AI辅助编码的个人或团队。
Shell · ★ 162,297 · 🍴 26,224 · 📈 590 stars today
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
中文介绍 msitarzewski/agency-agents 提供一个全面的AI代理平台，包括前端专家、Reddit社区忍者、幽默注入器和现实检查器等，适用于多样化的AI应用场景。
Python · ★ 76,730 · 🍴 5,957 · 📈 555 stars today
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
中文介绍 headroomlabs-ai/headroom 是一个压缩工具输出、日志、文件和RAG块的工具，减少LLM的token使用，适用于需要降低成本或提高效率的AI应用。
Python · ★ 30,775 · 🍴 3,463 · 📈 262 stars today
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
中文介绍 anthropics/knowledge-work-plugins 是一个开源插件库，旨在帮助知识工作者在Claude Cowork等平台使用。
Python · ★ 42,328 · 🍴 7,009 · 📈 719 stars today
Kronos: A Foundation Model for the Language of Financial Markets
中文介绍 shiyu-coder/Kronos 是一个金融市场语言的基础模型，适用于金融分析和研究。
Python · ★ 94,419 · 🍴 23,665 · 📈 98 stars today
A high-throughput and memory-efficient inference and serving engine for LLMs
中文介绍 vllm-project/vllm 是一个高效且内存优化的LLM推理和托管引擎，适用于大规模的LLM部署。
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Robotic value models assess task execution from visual observations and instructions, providing feedback for policy learning and execution monitoring. However, existing evaluations cover only selected aspects of execution understanding, leaving the reliability of value feedback insufficiently tested
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Memory-native evolution requires making memory an intrinsic capability of foundation models, enabling them to continuously accumulate and utilize information. To this end, we introduce MemT-1.0, a new architecture of memory foundation models that internalize memory as part of model computation. Buil
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In this paper, we systematically investigate the mechanisms, scaling behavior, and generalization of physical Recursive self-improvement. We introduce PhysRSI-eval to quantify physical RSI through a five-axis metric: First-Attempt Performance, Efficiency, Success, Budget and Improvement from failure
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Matryoshka Representation Learning (MRL) is designed to support flexible representation sizes by jointly optimizing nested prefixes. While effective, this design lacks an explicit constraint to ensure that the leading portion provides a suitable compact encoding. To address this, we propose SpecMRL,
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Large Language Model (LLM) agents are increasingly deployed in unfamiliar and evolving environments, requiring them to proactively explore, understand, and adapt to environmental dynamics. However, existing benchmarks rarely test whether agents can proactively discover how an environment works and a
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Estimating a humanoid robot's internal state from video has a wide range of real-world applications but remains unexplored. During interactions with a robot, its onboard state information may be unavailable due to privacy, ownership, or communication constraints. Meanwhile, online and AI-generated r
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People ask conversational AI models about their legal rights, obligations, procedures, and personal situations that may have legal consequences. To study this behavior, we first need to distinguish requests for legal guidance from other legally themed discussions and unrelated conversations. We cont
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Coding agents keep working on runs that will fail verification, and asking a frontier model to watch for this is expensive in its own right. We introduce StopLoss, a small external monitor that learns failure recognition from completed trajectories and their verifier outcomes. The name is inspired b
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Feed-forward 3D Gaussian Splatting (3DGS) promises instant scene reconstruction with high-quality novel-view synthesis. Yet, fine-grained geometry and appearance remain difficult to recover, motivating us to revisit how feed-forward models represent, aggregate, and refine detailed visual information
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While LLM-based agent systems have demonstrated remarkable proficiency in reasoning and solving complex real-world tasks, they also come with substantial token consumption and inference latency, limiting their practical deployment. To enhance the efficiency of agent systems, recent efforts have focu
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Existing Multi-token prediction (MTP) methods are auxiliary by design: the multi-horizon loss mostly trains modules attached to the backbone, and each added horizon costs another module and another pass. We propose Efficient Causal Self-Recursion (ECHO), which removes both costs. The backbone's own
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Evaluating software agents on a full benchmark is expensive. A small task subset can preserve agent rankings while yielding inaccurate scores. Historical responses provide useful structure, but tasks with identical source responses can have different outcomes for a new target agent. We introduce Hie
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End-to-end visual generation with pixel-space loss has recently achieved competitive performance without the need for learned image tokenizers. In this work, we study whether language-informed supervision can provide a richer training signal than pixel loss for visual generation. We introduce LILIE
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Recent advances in large language models (LLMs) have brought impressive performance across diverse tasks; however, shortcomings remain in logical reasoning, including inconsistencies under linguistic variation. To improve the reasoning capacity of LLMs, we must be able to accurately measure their re
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Conditional memory expands language-model capacity through selective lookup, but the full embedding table must remain available for every possible input. We introduce Conditional Program (CP), a compressed representation that reconstructs only the rows an input requests. CP represents each row by a
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Safety in Multimodal Large Language Models (MLLMs) depends on unsafe multimodal data for post-training alignment or activation steering. However, such data is hard to collect, must be gathered anew for each modality, and its collection and distribution raise ethical and legal concerns. In this work,
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Harness evolution automatically optimizes the prompts, skills, tools, and orchestration code around a fixed-weight model, offering a way to improve agentic systems without updating model weights. The agent harness is iteratively optimized to achieve higher performance on the search set. But how much
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On-policy self-distillation (OPSD) enables large language models (LLMs) to learn from privileged information (PI) without a separate teacher model. However, prior work largely treats PI as a fixed design choice, leaving the effects of its content and construction poorly understood. This challenge is
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Large language models (LLMs) are increasingly used in critical domains, where their susceptibility to hallucinations makes reliable and interpretable uncertainty quantification essential. We introduce the concept of mechanistic uncertainty, which characterizes uncertainty through the stability of th
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One of the first steps of a research pipeline is generating ideas. Large Language Models (LLMs) are increasingly used to automate this step, but most of this work optimizes the quality of individual ideas, while overlooking diversity. In our work, we study document-grounded ideation, focusing on inc
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Image editing models produce impressive results for individual edits, but their quality often deteriorates over multiple editing turns. Each editing turn introduces small distribution shifts that accumulate over successive edits, creating a gap between the input distributions encountered during the
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Recent advances in multimodal large language models (MLLMs) have enabled them to act as autonomous agents, creating and editing 3D models via code or direct software manipulation. In practical workflows, these models must infer object shapes, materials, spatial layouts, and lighting from diverse ref
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AI agents are demonstrating increasingly strong offensive and defensive cybersecurity capabilities in the real world. Current benchmarks mostly evaluate agents in isolation against static targets. Real cyber operations, however, are dynamic and coupled: security postures constantly change as attacke
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Agent skills are Markdown documents that a tool-using agent reads as instructions and then acts on with the privileges of the session that loaded them. Installing one grants authority (the standing to direct the agent, not new privilege), and the size of that grant is what we measure. We present a t
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Long-horizon, semi-verifiable agentic tasks often rely on rubric-based evaluation, but the evidence needed to assess these tasks can be spread across the environment state and the execution trace. A judge may overlook this evidence or accept unsupported claims, including an agent's own reports of su
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Recent advances in self-improving LLM agents have demonstrated the potential of AI systems that drive their own intelligence. However, many domain-specific applications rely on specialized foundation models that possess strong domain expertise but remain dependent on human-designed improvements. Ext
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Augmenting worker capabilities in the physical world through guidance has been a decades-long goal for AI agents. One key supporting capability is to understand what the worker is doing, seeing through the human's camera or smart glasses, and assist them in documentation. Despite advances in vision
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Vision-Language-Action (VLA) models have shown strong generalization in robotic manipulation by leveraging rich representations from pretrained vision-language models. However, their deployment in real-world environments remains limited by recurring unreliable behaviors. In this work, we study state
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Large language model (LLM) agents are increasingly capable of acting in complex tool-use environments, yet they often fail to recognize when tasks are infeasible and no valid solution exists. Recent work has formalized this reliability gap as the problem of agentic abstention, and existing approache
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Memory has become integral to the LLM agent ecosystem, supporting information retention and reuse across interactions. However, most existing agent memory systems construct memory in a query-agnostic manner, which can incur unnecessary preprocessing cost and discard details that later prove essentia
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From GPU trading to physical settlement, independent markets, and programmable compute
中文介绍 Evan Conrad在SF Compute讨论了从GPU交易到物理结算、独立市场和可编程计算等话题。
中文介绍 NVIDIA的Cosmos3-H-Dreams项目通过生成模拟将临床外科手术带入现实。
中文介绍 FairStress对LLM决策中的公平性进行了更深入的评估。
Imagine your company just discovered electricity. At first only a few machines run on it, and nobody worries about efficiency — consumption is low and the value is obvious. But once electricity becomes infrastructure, every process depends on it, and the question changes from “can we use it?” to “ho
中文介绍 企业AI的新经济学：企业AI的发展类似于电力的发现，从最初的不被关注到成为基础设施。
中文介绍 ALTK-Evolve在客户服务任务中超越了τ²-bench排行榜，无需前沿模型。
The current narrative around artificial intelligence in the workplace is largely driven by Silicon Valley. But treating the tech sector as an island misses the actual trends in technology adoption–tech is just the first industry in line. As generative AI and automation tools mature, the shifts curre
中文介绍 AI在各行业的应用展示了其他行业可以学习到的经验，指出技术是首个采用AI的行业。
An independent Schlotzsky’s and Cinnabon franchisee cut menu repricing time by 95% and built a workflow that could free up $100K in cash flow.
中文介绍 Schlotzsky’s和Cinnabon加盟商使用ChatGPT将菜单定价时间缩短95%，并建立了一个可节省10万美元现金流的工作流程。
Generative AI models run on powerful chips known as GPUs, which depend on stacks of specialized memory chips packaged with the processor. To meet growing demand for memory, Samsung is building a massive new semiconductor manufacturing complex in Pyeongtaek, South Korea. Three fabs already operate ar
中文介绍 三星在韩国平泽建设新的半导体制造中心，以满足对内存不断增长的需求。
Congrats to DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Mercury 3 (details below) but they’re not going to be in super wide use just yet.
中文介绍 DeepSeek V4.1 Flash 1017、MiniMax M3.1 Flash和Mercury 3等新工具发布，但尚未广泛使用。
OpenAI is acquiring Orchestra Bio to bring AI-powered operations to life sciences R&D, helping biopharma teams accelerate drug development and advance new treatments.
中文介绍 OpenAI收购Orchestra Bio，以将AI驱动的操作带入生命科学研发，加速药物开发和推进新疗法。
中文介绍 Hugging Face与TorchTPU合作，为TPU提供原生支持。
中文介绍 AnyLanguageModel 1.0在苹果平台上推出，提供本地模型支持。
中文介绍 PyTorch 2.15引入了MPS功能。
中文介绍 Mercury 3、MiniMax Flash 3.1和Exa 3等新工具发布。
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet users into just two categories: bots and people. Websites have long allowed bots to perform automated tasks, like captur
中文介绍 为AI代理优化互联网可能会对其他人造成不利影响。
Study identifies ‘circadian depression’ as affecting nearly a quarter of more than 11,000 participants Get our breaking news email, free app or daily news podcast Australian researchers have identified a new subtype of depression – termed “circadian depression” – linked to disruptions in the body’s
Follow the day’s news live. ‘Deeply appalled’: politicians condemn alleged attack after Helen Haines critically injured Helen Haines, the principled MP respected across parliament Anthony Albanese has described the police interview on Tuesday with Brendan Nugent as “extensive” but that the motivatio
The Gambia confirmed it received $2.5m from the sale of a US mansion belonging to former president Jammeh.
The response came after Homeland Security ordered the removal and exclusion of products developed by the Chinese company.
The former soldier had been living in exile since 2020, and said in a video posted this month on TikTok that he feared for his life.
The US president's remarks come amid a deepening feud with Ukraine's President Volodymyr Zelenskyy.
The Avant-Première preview of the Art Basel Paris fair attracted major collectors despite an escalation of anti-government protests, riots and looting across French cities.
Ukraine had accused the US of withholding key intelligence - a claim rejected as "scandalous" by Washington.
The president's Republican Party seeks to maintain its hold over both chambers of Congress, despite declining polls.
Government planning tougher security measures as France also says military forces will be deployed Why are people protesting across Europe? Italy’s government is sending 500 soldiers to Milan and vowed a “firm response from the state” after protests against the cost of living descended into clashes
“Bismillah, c’est les ténèbres” has appeared on signs at recent demonstrations. It doesn’t make much sense (it means, “In the name of God, it’s the darkness”) but is seen as shorthand for a generational divide.
The lawsuit argues Trump bypassed Congress and misused a Depression-era law to impose tariffs on Canadian imports.
The spire of the clock tower at Limoges city hall dramatically collapsed as it was engulfed in flames on Saturday.
Health officials praised the Nigerian authorities for their transparency in reporting the spread of the virus.
Republicans and Democrats jockey for control of Congress, which will set course for Trump's final two years in office.
Musk says special committees within both companies have been formed to look a possible mega-merger.
中文摘要 马斯克表示，特斯拉和SpaceX内部已成立特别委员会，考虑可能的巨型合并。
Ministers to give go-ahead on Wednesday to the project about 150 miles east of Aberdeen
中文摘要 英国政府将于周三批准位于阿伯丁以东约150英里的Jackdaw天然气田开发项目。
The shares of AI-related companies rallied in after-hours trading on Tuesday after strong preliminary results from server-maker Super Micro Computer Inc. spurred relief about the outlook for spending on the technology.
中文摘要 在服务器制造商Super Micro Computer Inc.初步业绩强劲后，AI相关股票在周二盘后交易中上涨，缓解了人们对技术支出前景的担忧。
Asian stocks were set to track US stock futures higher as strong earnings from some of the biggest beneficiaries of the artificial intelligence boom helped revive the tech trade.
中文摘要 亚洲股市预计将跟随美国股市期货上涨，因为人工智能热潮的一些最大受益者强劲的业绩帮助提振了科技交易。
Oil steadied after a choppy session that saw traders parse conflicting headlines on efforts to end the US-Iran war.
中文摘要 在看到交易者分析结束美伊战争的冲突性头条后，油价在波动的一天后稳定下来。
Netflix reported earnings for the third quarter that exceeded Wall Street expectations, but forecast a fourth consecutive quarter of slowing sales growth, a projection that may amplify concerns about the performance of the world’s leading online TV network. Netflix delivered sales of $12.9 billion i
中文摘要 Netflix报告了第三季度的收益，超出华尔街预期，但预计第四季度销售额将连续第四个季度放缓，这一预测可能加剧对全球领先在线电视网络的业绩担忧。
Elon Musk says combining his two public companies would be a ‘good idea’ as the world approaches an AI singularity
中文摘要 马斯克表示，随着世界接近人工智能奇点，合并他的两家上市公司是一个“好主意”。
Simon Gallagher, Hanaging Director of SPG Global and a Former Netflix Content-Acquisition Director, says hiring Peter Rice signals a more commercial programming strategy. While niche titles can succeed, Gallagher argues Netflix should lean more toward broadly appealing films and shows to support gro
中文摘要 Simon Gallagher，SPG Global管理总监和前Netflix内容收购总监，表示聘请Peter Rice预示着更商业化的节目策略。虽然小众标题可以成功，但Gallagher认为Netflix应更多地倾向于广受欢迎的电影和节目。
Republican political operative is a key adviser to CEO Mark Zuckerberg
中文摘要 共和党政治活动家、马克·扎克伯格的关键顾问Joel Kaplan将辞去Meta全球事务主管职务。
Bryan McDonnell, Head of Real Estate Credit Strategies at PGIM, says investors should adjust business models to a higher-rate environment rather than count on rates falling. He describes the market’s recent uncertainty as a gap between rate expectations and reality, with Treasury yields rising above
中文摘要 PGIM房地产信贷策略主管Bryan McDonnell表示，投资者应调整业务模式以适应高利率环境，而不是指望利率下降。他描述市场最近的波动为预期与现实之间的差距，即国债利率预期与实际利率之间的差距。
Join us for a live Ask an Expert Q&A with Richard Waters, the FT’s tech writer at large, and George Hammond, the FT’s venture capital correspondent, at 8am (PDT)/4pm (BST) on Thursday October 22
中文摘要 《金融时报》科技资深作家Richard Waters和《金融时报》风险投资记者George Hammond将于10月22日早上8点（太平洋标准时间）/下午4点（伦敦标准时间）举行现场问答，探讨Anthropic的IPO是否是人工智能的转折点。
No formal investigation has started, but the regulator is making inquiries into the case.
中文摘要 审计监管机构正在调查曼城俱乐部的会计问题，但尚未开始正式调查。
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