WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
GitHub repository with 1,752 stars and 162 forks.
Language: Jupyter Notebook
Topics: rag, ai-agents, alignment, debugging, evaluation, reasoning, graphrag, hallucination, information-retrieval, knowledge-graph
2026-06-05: 1,752 stars and 162 forks.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
GitHub repository with 22,388 stars and 3,751 forks.
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Language: Jupyter Notebook
Topics: agents, genai, tutorials, langchain, langgraph, ai
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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Language: Jupyter Notebook
Topics: agent, agent-framework, agents, ai-agents, genai, generative-ai
This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
GitHub repository with 236 stars and 67 forks.
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Language: Jupyter Notebook
Topics: agent, agentic, agentic-ai, agents, ai, langchain
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
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Language: Jupyter Notebook
Topics: artificial-intelligence, chatgpt, langchain, large-language-models, llama, machine-learning
A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.
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Language: Jupyter Notebook
Topics: ai-project, cloud-computing, data-engineering, data-science, deep-learning, devops
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,983 stars and 4,249 forks.
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Language: Jupyter Notebook
Topics: agents, gcp, gemini, gemini-api, gen-ai, generative-ai
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.
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Language: Jupyter Notebook
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Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 131 stars and 45 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
GitHub repository with 41,902 stars and 8,303 forks.
Trending score: 1.49; stars gained: +23; forks gained: +3.
Language: Jupyter Notebook
Topics: course, data-engineering, dbt, docker, free, kafka
Official implementation of paper "VLM³: Vision Language Models Are Native 3D Learners".
GitHub repository with 218 stars and 9 forks.
Trending score: 1.46; stars gained: +33; forks gained: +0.
Language: Jupyter Notebook
Topics: 3d-foundation-model, camera-pose-estimation, depth-estimation, image-matching, large-language-models, object-level-3d
The agent engineering platform.
GitHub repository with 138,601 stars and 22,962 forks.
Trending score: 4.53; stars gained: +171; forks gained: +31.
Language: Python
Topics: ai, anthropic, gemini, langchain, llm, openai
AI equity research agent with resilient workflows, Redis Lua single-flight, pgvector RAG, versioned reports, evidence tracing, and RAG evaluation.
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Trending score: 3.24; stars gained: +77; forks gained: +1.
Language: Java
Topics: ai-agent, financial-research, llm-evaluation, pgvector, postgresql, rabbitmq
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
GitHub repository with 22,915 stars and 1,748 forks.
Trending score: 3.09; stars gained: +36; forks gained: +3.
Language: TypeScript
Topics: agents, ai, context-window, framework, llms, memory
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
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Trending score: 2.64; stars gained: +653; forks gained: +47.
Language: Python
Topics: claude-code, graphrag, knowledge-graph, codex, openclaw, skills
🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs.
GitHub repository with 1,176 stars and 126 forks.
Trending score: 2.51; stars gained: +10; forks gained: +1.
Language: Vue
Topics: ai-agents, ai-coding, ai-native, architecture-decision-records, architecture-patterns, awesome-list
Memory library for building stateful agents
GitHub repository with 4,806 stars and 554 forks.
Trending score: 2.13; stars gained: +131; forks gained: +10.
Language: Python
Topics: agent-memory, ai, ai-agents, ai-memory, anthropic, context-engineering