数据来源：github.com/trending global Languagescalesthio/OpenMontageWorld’s first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio. ⭐ Stars: 15745 🍴 Forks: 0 📝 Language: Python ZhuLinsen/daily_stock_analysisLLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notification ...

数据来源：github.com/trending global Languagescalesthio/OpenMontageWorld’s first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio. ⭐ Stars: 19508 🍴 Forks: 0 📝 Language: Python ZhuLinsen/daily_stock_analysisLLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notification ...

数据来源：github.com/trending global Languagessimplex-chat/simplex-chatSimpleX - the first messaging network operating without user identifiers of any kind - 100% private by design! iOS, Android and desktop apps 📱! ⭐ Stars: 12603 🍴 Forks: 0 📝 Language: Haskell google-labs-code/design.mdA format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system. ⭐ Stars: 21286 🍴 Forks: 0 📝 Language: TypeScript ...

数据来源：github.com/trending global Languagessimplex-chat/simplex-chatSimpleX - the first messaging network operating without user identifiers of any kind - 100% private by design! iOS, Android and desktop apps 📱! ⭐ Stars: 13874 🍴 Forks: 0 📝 Language: Haskell xbtlin/ai-berkshireAI 时代的伯克希尔：基于 Claude Code 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built on Claude Code. 4 masters’ methodologies + multi-agent adversarial analysis. ⭐ Stars ...

数据来源：github.com/trending global Languagessimplex-chat/simplex-chatSimpleX - the first messaging network operating without user identifiers of any kind - 100% private by design! iOS, Android and desktop apps 📱! ⭐ Stars: 16621 🍴 Forks: 0 📝 Language: Haskell msitarzewski/agency-agentsA 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 ...

数据来源：github.com/trending global Languageszhaoxuya520/reverse-skillReverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端 ⭐ Stars: 10733 🍴 Forks: 0 📝 Language: PowerShell different-ai/openworkThe open-sour ...

数据来源：github.com/trending global Languagesmicrosoft/AI-For-Beginners12 Weeks, 24 Lessons, AI for All! ⭐ Stars: 57225 🍴 Forks: 0 📝 Language: Jupyter Notebook paperswithbacktest/awesome-systematic-tradingA curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. ⭐ Stars: 12245 🍴 Forks: 0 📝 Language: Python usekaneo/kaneo🎯 All you need. Nothing you don’t. Open source project management that works for you, not against you. ⭐ Stars: 5689 🍴 ...

数据来源：github.com/trending global Languagesmicrosoft/AI-For-Beginners12 Weeks, 24 Lessons, AI for All! ⭐ Stars: 59048 🍴 Forks: 0 📝 Language: Jupyter Notebook usekaneo/kaneo🎯 All you need. Nothing you don’t. Open source project management that works for you, not against you. ⭐ Stars: 6156 🍴 Forks: 0 📝 Language: TypeScript lyogavin/airllmAirLLM 70B inference with single 4GB GPU ⭐ Stars: 25671 🍴 Forks: 0 📝 Language: Jupyter Notebook iv-org/invidiousInvidious is an alternative front- ...

数据来源：github.com/trending global LanguagesTencentCloud/TencentDB-Agent-MemoryTencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks. ⭐ Stars: 13599 🍴 Forks: 0 📝 Language: TypeScript zhaoxuya520/reverse-skillReverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI ...

数据来源：github.com/trending global Languagescloudflare/computerGive your agent a computer 👾 ⭐ Stars: 2953 🍴 Forks: 0 📝 Language: TypeScript huangruiteng/loopxLightweight loop engineering state kernel for long-running AI agent teams. Agent-loop agnostic across Codex, Claude Code, and other coding agents, with durable goals, quota-aware auto-wake, executable todos, evidence logs, and verifiable handoffs. ⭐ Stars: 2125 🍴 Forks: 0 📝 Language: Python TencentCloud/TencentDB-Agent-MemoryTence ...

数据来源：github.com/trending global LanguagesTencentCloud/TencentDB-Agent-MemoryTencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks. ⭐ Stars: 16446 🍴 Forks: 0 📝 Language: TypeScript addyosmani/agent-skillsProduction-grade engineering skills for AI coding agents. ⭐ Stars: 82974 🍴 Forks: 0 📝 Langua ...

数据来源：HuggingFace Papers Latest Papers1. PerceptionRubrics: Calibrating Multimodal Evaluation to Human PerceptionAbstract:We introduce PerceptionRubrics, a rubric-based evaluation framework that addresses the gap between saturated benchmark scores and real-world brittleness. Shifting evaluation from holistic semantic matching to rigorous atomic auditing, PerceptionRubrics pairs 1,038 information-dense images with over 10,000 instance-specific rubrics. These criteria are derived from golden capt ...

数据来源：HuggingFace Papers Latest Papers1. Program-as-Weights: A Programming Paradigm for Fuzzy FunctionsAbstract:Many everyday programming tasks resist clean rule-based implementation, such as alerting on important log lines, repairing malformed JSON, or ranking search results by intent, and are increasingly outsourced to large language model APIs at the cost of locality, reproducibility, and price. We propose fuzzy-function programming: compiling such a function from a natural-language specific ...

数据来源：HuggingFace Papers Latest Papers1. The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement LearningAbstract:Reinforcement learning (RL) has gained growing attention in large language model (LLM) post-training, yet RL training remains fragile and can suffer from instability or collapse. One vital cause is training-inference mismatch: LLM adopts separate inference and training engines for generation efficiency and training precisi ...

数据来源：HuggingFace Papers Latest Papers1. OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern OptimizersAbstract:Optimizer selection for large-scale model training has become a system-level design decision constrained jointly by compute, memory, tuning budget, and task diversity, yet the landscape of over one hundred methods remains fragmented. We therefore present OmniOpt, a unified survey and benchmark cookbook of optimizers for the research community. OmniOpt rests on four coupled compone ...