Missed the latest GitHub check; these facts may be older.
Overview
A collection of Jupyter notebooks and Python scripts that accompany Marktechpost articles on agentic AI. Each entry walks through one tool or pattern, such as Mem0 memory, SmolAgents, Google ADK, LangGraph, CAMEL, OpenClaw, MCP connectors, and SFT data prep from agent traces. Some notebooks carry Open in Colab badges; no license is detected.
Who it is for: Engineers learning agent patterns by running notebooks
Strengths
Covers many frameworks: SmolAgents, Google ADK, LangGraph, CAMEL, Mem0, AgentScope
Each entry links runnable code and a matching written tutorial
Some notebooks have Open in Colab badges, so no local setup is needed
Actively updated, with entries dated through October 2026
Weaknesses
No license detected, so reuse terms are unclear
Each notebook is a standalone demo, not a maintained library or app
Many notebooks call hosted APIs such as OpenAI, Gemini or Groq
Tutorials come from one publisher and may lag the upstream projects' docs
What it needs
GPU optional
Needs Google Colab, OpenAI API, Gemini API, Groq API