Marktechpost/AI-Agents-Projects-Tutorials

This project is a high-quality educational resource rather than a unique software product. With over 2,200 stars and 500 forks, it serves as a significant community hub for learning agentic patterns, but it lacks a technical moat. The defensibility is low (3) because the value lies entirely in the curation of existing frameworks like CrewAI and AutoGen; any developer could replicate this by aggregating documentation and popular blog posts. Frontier risk is high because labs like OpenAI (with Swarm and Assistant API) and Anthropic (with Model Context Protocol) are moving to bake these agentic capabilities directly into their platforms, potentially rendering third-party orchestration tutorials obsolete. The displacement horizon is short (6 months) due to the extreme 'bit rot' prevalent in the AI agent space—API changes or new framework releases (e.g., LangGraph displacing older LangChain patterns) quickly invalidate static tutorials. For an investor, this represents high community engagement but zero proprietary IP.