AI-Cheatsheet

 

A curated reference of tools, platforms, courses, papers, and protocols for working with AI and Large Language Models.

Table of Contents

• LLM Providers
• Run Locally
• Analysis
• Gateway
• Courses
• Books
• Blog
• Papers
• Protocols
• Agents
• Tool Calling
• Tools
• Memory
• Others
• Tokens
• Document parsing
• Vector database
• Vector search

LLM Providers

Provider
OpenAI
Anthropic
Google Gemini
Mistral AI
DeepSeek

Run Locally

Tool
LM Studio
Open WebUI
Ollama

Analysis

Tool
Artificial Analysis
Arena AI

Gateway

Platform
OpenRouter
LiteLLM
Kong
Portkey
AWS Bedrock
Google Generative AI Studio

Courses

Course	Provider
Anthropic Courses	Anthropic
AI Learning Path	IBM SkillsBuild
AWS Certified AI Practitioner	AWS
Training for AI Engineers	Microsoft
The AI Engineer Path	Scrimba
AI & ML Catalog	Databricks
Machine Learning Crash Course	Google

Books

Title
AI Engineering Book
HBR's 10 Must Reads on AI

Blog

Title
Introduction to Large Language Models: Everything You Need to Know for 2025

Papers

Title
Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
The Illusion of Thinking: Strengths and Limitations of Reasoning Models
Agents of Chaos
Does Prompt Formatting Have Any Impact on LLM Performance?
Helpful Agent Meets Deceptive Judge: Vulnerabilities in Agentic Workflows
Toolformer: Language Models Can Teach Themselves to Use Tools
Can LLMs Ask Good Questions?
Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion

Protocols

Agent interoperability and communication standards.

Protocol	Description	Link
Agent2Agent (A2A)	Google's protocol for agent interoperability	Blog
Model Context Protocol (MCP)	Open protocol for model-tool context (introduced by Anthropic)	Docs
Agent Network Protocol (ANP)	Open protocol for agent-to-agent networking	Site
AG-UI Protocol	Agent–User interaction protocol	Docs
Agora Protocol	Decentralized agent communication protocol	Site
LMOS Protocol	Eclipse LMOS agent protocol	Docs

Agents

Guides

Title	Link
A Practical Guide to Building Agents	OpenAI (PDF)
Building Effective Agents	Anthropic
How to Build an Agent	LangChain

Platforms

Type	Platform
No Code	n8n
Low Code	Azure AI Foundry Agent Service
Low Code	Google Agent Builder
Code	CrewAI
Code	LangGraph
Code	Pi.dev

Tool Calling

Resource
Advanced Tool Use

Tools

Tool
Google Stitch
Agent Zero
Remotion Prompts
Pencil
Quiver AI
AnythingLLM
Recall AI
AgenticSeek
OpenClaw
Browserbase
Magika
notebookLM
Wispr Flow
Granola
Gamma

Memory

Resource
mempalace

Others

Resource
Moltbook
Kami
There's An AI For That

Tokens

1. toon-format/toon
2. JuliusBrussee/caveman
3. pxpipe

Document parsing

1. run-llama/liteparse
2. docling-project/docling

Vector database

1. Pinecone
2. Turbopuffer
3. Qdrant
4. Vespa

Vector search

• Hierarchical Navigable Small World (HNSW)
• Inverted File (IVF)
• Approximate Nearest Neighbor (ANN)
• Product Quantization (PQ)

AI Skills

• https://www.aihero.dev/skills-teach

from  https://github.com/lifeparticle/AI-Cheatsheet

 ( https://github.com/brightmann/AI-Cheatsheet)