Write HTML. Render video. Built for agents.
🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.
Chrome DevTools for coding agents
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
SGLang is a high-performance serving framework for large language models and multimodal models.
Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill that removes signs of AI-generated writing from text
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
Community plugin to control Blender 3D with any LLM of your choice
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
| 仓库 | 分类 | 语言 | 总 Star ↕ | 本周 Star ↕ | 最近更新 | 简介 |
|---|---|---|---|---|---|---|
| tt-a1i/archify | 工具链 | JavaScript | 54.3k | 14.9k | 2026-09-08 | Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export. |
| mattpocock/skills | 工具链 | Shell | 256.8k | 13.6k | 2026-09-08 | Skills for Real Engineers. Straight from my .agents directory. |
| DietrichGebert/ponytail | 工具链 | JavaScript | 131.9k | 12.8k | 2026-09-08 | Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote. |
| affaan-m/ECC | 工具链 | JavaScript | 253.9k | 7.7k | 2026-09-08 | The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. |
| blader/humanizer | 工具链 | Python | 45.3k | 5.8k | 2026-09-08 | Agent skill that removes signs of AI-generated writing from text |
| NousResearch/hermes-agent | Agent 框架 | Python | 243.3k | 4.2k | 2026-09-08 | The agent that grows with you |
| heygen-com/hyperframes | Agent 框架 | TypeScript | 47.5k | 3.8k | 2026-09-08 | Write HTML. Render video. Built for agents. |
| jingyaogong/minimind | 其他 | Python | 59.8k | 3.6k | 2026-09-08 | 🧠 Train a 64M-parameter LLM from scratch in just 2h! |
| K-Dense-AI/scientific-agent-skills | 工具链 | Python | 43.8k | 3.2k | 2026-09-08 | Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard. |
| sgl-project/sglang | 多模态 | Python | 35.6k | 2.6k | 2026-09-08 | SGLang is a high-performance serving framework for large language models and multimodal models. |
| Imbad0202/academic-research-skills | 工具链 | Python | 47k | 2.4k | 2026-09-08 | Academic Research Skills for Claude Code: research → write → review → revise → finalize |
| datawhalechina/hello-agents | Agent 框架 | Python | 77.8k | 1.8k | 2026-09-08 | 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程 |
| coreyhaines31/marketingskills | 工具链 | JavaScript | 48.6k | 1.7k | 2026-09-08 | Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering. |
| ruvnet/ruflo | Agent 框架 | TypeScript | 71.6k | 1.6k | 2026-09-08 | 🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated |
| MakazhanAlpamys/Soup | 模型推理 | Python | 5.8k | 1.6k | 2026-09-08 | Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. |
| p-e-w/heretic | 其他 | Python | 30.9k | 1.3k | 2026-09-08 | Fully automatic censorship removal for language models |
| The-Swarm-Corporation/AutoHedge | Agent 框架 | Python | 5.6k | 1.1k | 2026-09-08 | Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution. |
| ChromeDevTools/chrome-devtools-mcp | Agent 框架 | TypeScript | 51.3k | 1k | 2026-09-08 | Chrome DevTools for coding agents |
| ahujasid/blender-mcp | 工具链 | Python | 27.7k | 971 | 2026-09-08 | Community plugin to control Blender 3D with any LLM of your choice |
| openai/skills | 工具链 | Python | 26.4k | 969 | 2026-09-08 | Skills Catalog for Codex |
| k2-fsa/OmniVoice | 多模态 | Python | 10.6k | 788 | 2026-09-08 | High-Quality Voice Cloning TTS for 600+ Languages |
| mksglu/context-mode | 工具链 | TypeScript | 21.3k | 399 | 2026-09-08 | Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks. |
| eriklindernoren/ML-From-Scratch | 其他 | Python | 32.7k | 200 | 2026-09-08 | Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. |