AI-Agents-Projects-Tutorials
Multi-agent systems enable complex workflows where specialized agents collaborate asynchronously—reducing bottlenecks in task decomposition and parallel reas…
A collection of hands-on AI agent tutorials from Marktechpost, each pairing a Google Colab notebook or Python script with a full written article. Topics include building agent runtimes with tool calling, session memory, and permissions; multi-agent coordination; fine-tuning data pipelines; skill security scanning; and web crawling for RAG. It is a learning resource, not an installable skill.
- Follow step-by-step tutorials for building agent runtimes with tools, memory, and permissions
- Run the companion Colab notebooks for each Marktechpost agent article
- Learn agent fine-tuning data pipelines, skill security scanning, and web crawling for RAG from worked examples
Multi-agent systems enable complex workflows where specialized agents collaborate asynchronously—reducing bottlenecks in task decomposition and parallel reasoning loops. Critical for handling problems that require persistent memory, sequential planning, or agent-to-agent delegation.
Teams building autonomous systems that need to coordinate multiple specialized agents, maintain conversation context across steps, or automate multi-step decision workflows.
https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Proje...
By Marktechpost
How to Get It
Nothing to install — open the Colab notebooks and scripts linked from the README alongside each tutorial article
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After installing, paste this into Claude:
Help me follow step-by-step tutorials for building agent runtimes with tools, memory, and permissions
Trust Signals Auto-scanned
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Discussed on Reddit
- Best tutorials on GenAi and Agentic Ai with projects on YT — Reddit · 3 pts
- Best tutorials on GenAi and Agentic Ai with projects on YT — Reddit
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Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 2,874 GitHub stars; 4 contributors; last commit 9d ago; license no license.
Things to check
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 2,874 GitHub stars; 4 contributors; last commit 9d ago; license no license.