🦞 ResearchClawBench: Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery
GitHub repository with 127 stars and 11 forks.
Language: Jupyter Notebook
Topics: auto-research, openclaw, agent, ai4science, benchmark, claude, claude-code, codex, discovery, evaluation
2026-06-05: 127 stars and 11 forks.
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 9,098 stars and 584 forks.
Trending score: 2.37; stars gained: +326; forks gained: +20.
Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,980 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 5,606 stars and 1,014 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,680 stars and 331 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
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Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 125 stars and 44 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
GitHub repository with 30,756 stars and 3,013 forks.
Trending score: 1.60; stars gained: +31; forks gained: +4.
Language: Jupyter Notebook
800+ pure-markdown skills for autonomous AI research. Non-linear orchestration with backtracking, 4-layer military hierarchy (Campaign → Strategy → Tactic → SOP), 5 MCP integrations. The AI is the researcher — you set the direction.
GitHub repository with 298 stars and 24 forks.
Trending score: 1.00; stars gained: +8; forks gained: -1.
Language: HTML
Topics: academic-research, deep-research, literature-review, mcp, research-automation, skill
🏆 AI Agent 生态排行榜：Skills · MCP 服务器 · Prompt 库 · 框架 · 深度研究，按 GitHub Stars 每日更新 | Leaderboard for AI agent ecosystem — Skills, MCP, Prompts, Frameworks & Research.
GitHub repository with 10 stars and 0 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: JavaScript
Topics: agent, auto-research, claude, codex, deepseek, ge-min