๐ŸปKuma Blog

A personal knowledge repository featuring AI research, technical learning notes, LeetCode solutions, and curated content on emerging technologies.

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๐Ÿ“– Overview

Kuma Blog is a comprehensive collection of technical writings, research analyses, and learning materials focused primarily on Artificial Intelligence, software engineering, and problem-solving. The repository serves as both a personal knowledge base and a resource for anyone interested in staying current with AI advancements.

๐Ÿ”— Read the blog: snowan.gitbook.io/study-notesarrow-up-right


๐Ÿ“‚ Repository Structure

kuma-blog/
โ”œโ”€โ”€ AI/                          # Main AI content hub
โ”‚   โ”œโ”€โ”€ Kuma_AI_Daily_NewsLetter/  # 160+ daily AI news digests
โ”‚   โ”œโ”€โ”€ AI_Blogs/                   # In-depth AI blog posts
โ”‚   โ”œโ”€โ”€ AI-article-analysis/        # Deep-dive analyses of AI articles/papers
โ”‚   โ”œโ”€โ”€ kuma-ai-agents/             # AI agent projects and experiments
โ”‚   โ”œโ”€โ”€ ai-resources/               # Curated AI learning resources
โ”‚   โ”œโ”€โ”€ michi_ai_papers/            # Research paper summaries
โ”‚   โ””โ”€โ”€ claude-code/                # Claude Code tooling resources
โ”‚
โ”œโ”€โ”€ AI-manga-learnings/          # AI paper summaries in visual/comic format
โ”‚   โ”œโ”€โ”€ magma-agentic-memory/      # MAGMA paper visual breakdown
โ”‚   โ”œโ”€โ”€ simplemem-lifelong-memory/ # SimpleMem paper analysis
โ”‚   โ”œโ”€โ”€ openai-data-agent/         # OpenAI Data Agent comic
โ”‚   โ””โ”€โ”€ future-of-enterprise-software/
โ”‚
โ”œโ”€โ”€ AI-slide-learnings/          # AI concepts in slide deck format
โ”‚   โ””โ”€โ”€ context-graphs-trillion-dollar/
โ”‚
โ”œโ”€โ”€ Leetcode/                    # Algorithm problem solutions
โ”‚   โ”œโ”€โ”€ 30DayChallenge/            # 30-day coding challenges
โ”‚   โ”œโ”€โ”€ python/                     # Python solutions
โ”‚   โ”œโ”€โ”€ English Solution/           # Solutions in English
โ”‚   โ””โ”€โ”€ ไธญๆ–‡็‰ˆ่งฃ้ข˜/                  # Solutions in Chinese
โ”‚
โ”œโ”€โ”€ Books/                       # Book notes and summaries
โ”‚   โ”œโ”€โ”€ Designing-Data-Intensive-Applications/
โ”‚   โ””โ”€โ”€ System-Performance/
โ”‚
โ”œโ”€โ”€ Readings/                    # Reading notes and reviews
โ”‚
โ”œโ”€โ”€ Entertainment/               # Entertainment-related content
โ”‚
โ”œโ”€โ”€ Languages/                   # Programming language learnings
โ”‚
โ”œโ”€โ”€ kubernetes/                  # Kubernetes notes and guides
โ”‚
โ”œโ”€โ”€ Setup/                       # Development setup guides
โ”‚
โ”œโ”€โ”€ Google/                      # Google-specific content
โ”‚
โ””โ”€โ”€ travels/                     # Travel logs

โœจ Key Features

๐Ÿค– AI Daily Newsletter

Over 160+ daily AI news digests covering the latest developments in:

  • Large Language Models (LLMs)

  • AI Safety & Security

  • Industry news from OpenAI, Anthropic, Google, Microsoft, etc.

  • Research breakthroughs

  • AI funding and business news

๐Ÿ“Š AI Paper Analyses

Deep-dive analyses of cutting-edge AI research papers, including:

  • MAGMA: Agentic Memory systems

  • SimpleMem: Lifelong memory for AI agents

  • Context Graphs: The trillion-dollar AI opportunity

  • Advanced tool use in AI systems

๐Ÿ’ก Visual Learning Content

Unique visual breakdowns of complex AI concepts:

  • AI Manga Learnings: Research papers transformed into visual comic format

    • OpenAI Data Agent (Kawaii Style)

    • MAGMA Agentic Memory

  • AI Slide Decks: Presentation-style summaries of key AI topics

๐Ÿงฎ LeetCode Solutions

Algorithm problem solutions in multiple languages:

  • Python implementations

  • Solutions in both English and Chinese

  • Organized by challenges and difficulty levels

๐Ÿ“š Technical Book Notes

Detailed notes from essential engineering books:

  • Designing Data-Intensive Applications

  • Systems Performance


๐Ÿš€ Getting Started

Clone the repository:

Browse the content directly or open in your favorite markdown editor/viewer.


๐Ÿ“… Recent Updates

  • AI Daily Newsletters: Updated through November 2025

  • AI Paper Analyses: New analyses on context engineering and agentic memory

  • Visual Learnings: New manga-style breakdowns of AI research


๐Ÿ› ๏ธ Contributing

This is primarily a personal knowledge repository, but suggestions and corrections are welcome! Feel free to:

  1. Open an issue for corrections or suggestions

  2. Submit a pull request for fixes


๐Ÿ“œ License

This project is licensed under the MIT License - see the LICENSEarrow-up-right file for details.


๐Ÿ‘ค Author

snowan - GitHub Profilearrow-up-right


๐ŸŒŸ Support

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