Awesome AI Landscape

Curated reviews, interactive ecosystem map, and learning paths for 50+ AI projects

Large Language Models

GPT-4, Claude, Gemini, Llama, Mistral, DeepSeek, Qwen — compare proprietary vs open-source, local vs cloud

LangChain, LlamaIndex, LangGraph, Dify, Haystack, Vercel AI SDK — pick the right tool for your use case

Claude Code, Cursor, Aider, OpenHands, AutoGPT, n8n — coding agents, automation, and platforms

Model Context Protocol — connect AI agents to any external tool with a universal standard

Browser Use, Firecrawl, E2B, Instructor — give your agents superpowers with reusable capabilities

vLLM, ChromaDB, Weaviate, Langfuse, Ragas — model serving, vector databases, eval, and observability

The AI ecosystem is exploding — new tools, frameworks, and models launch every week. This project helps you cut through the noise:

Feature	What You Get
Opinionated Reviews	Every project has a concise "when and why to use it" review, not just a description
Interactive Ecosystem Map	Visualize how 50+ projects connect with a D3.js force-directed graph
5 Learning Paths	Step-by-step guides from "Build a Chatbot" to "Deploy Your Own Model"
Always Updated	Star counts refresh daily via GitHub Actions

Not sure where to start? Follow a guided path:

Build Your First AI Chatbot — Beginner friendly, from API setup to deployment
Build an AI Agent — Create agents that use tools and reason about tasks
Build a RAG Pipeline — From document ingestion to answer quality evaluation
Deploy Your Own Open Model — Run Llama, Mistral, or DeepSeek locally or in production
Build a Coding Assistant — Explore and compare AI-powered coding tools