MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2881 stars · 619 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of Jupyter notebook tutorials and implementations covering agentic AI, multi-agent systems, memory, planning, and reasoning loops. Each notebook pairs runnable code with a companion tutorial article from Marktechpost.

Use cases

• learn how to build multi-agent AI workflows
• tutorials on agentic coding with CLI agents
• build agents with MCP connectors and skills
• examples of agentic RAG and reasoning loops
• learn to build autonomous data science agents
• benchmark and evaluate AI agents

When to choose

• you want hands-on, notebook-driven examples of agentic AI patterns
• you want to follow along with written tutorials while running code
• you're exploring multiple agent frameworks like Claude, Kimi CLI, and Omnigent

When to avoid

• you need a production-ready library or framework to import
• you require a permissively licensed codebase - no license is specified
• you need stable, versioned APIs rather than tutorial code

Facets

learning-resource · maturity active

agent-framework rag mcp llm-inference machine-learning artificial-intelligence large-language-models tutorials developer-tools python cross-platform jupyter-notebooks agentic-ai multi-agent-systems hands-on-tutorials no-license ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials")