📹 VIDEO TITLE 📹
What is OpenAI Swarm ?

✍️VIDEO DESCRIPTION ✍️
In this video, we explore OpenAI Swarm, a lightweight, open-source framework for building multi-agent systems. Swarm lets you define multiple AI agents, each with its own routine and tools, and allows them to pass tasks between one another. It’s stateless by design, making it ideal for developers who want full control over context and simple orchestration without heavy infrastructure.

We then compare Swarm to other popular frameworks like LangChain, LangGraph, and Google ADK. LangChain focuses on chaining LLM prompts and tools, while LangGraph adds structured control over loops, branches, and persistent state. Google ADK goes further with full support for stateful memory, secure agent communication, and shared artifacts — making it a better fit for production-grade multi-agent workflows. In contrast, Swarm stays minimal and developer-friendly, perfect for fast prototyping and learning.

Whether you're experimenting with agent handoffs, designing routines, or evaluating which framework to use for your AI project, this video breaks down the pros and cons of each approach. We’ll show why Swarm’s simplicity makes it great for prototyping and we answer the question if its the right agentic framework for production.

📽OTHER NEW MACHINA VIDEOS REFERENCED IN THIS VIDEO 📽
LangChain versus LangGraph -    • LangChain versus LangGraph  
Chroma versus Pinecone Vector Database -    • Chroma versus Pinecone Vector Database  
What is the Chroma Vector Database ? -    • What is the Chroma Vector Database ?  
RAG with OpenAI & Pinecone Vector Database ? -    • RAG with OpenAI & Pinecone Vector Database ?  
What are LLM Function Calls ? -    • What are LLM Function Calls ?  
Embeddings with Open AI & Pinecone Vector Database -    • Embeddings with Open AI & Pinecone Vector ...  
What is Hugging Face? -    • What is Hugging Face ?  
RAG vs Fine-Tuning -    • RAG versus LLM Fine-Tuning  
What is RAG ? -    • What is RAG ?  
What is Physical AI ? -    • What is Physical AI ?  
What is the Turing Test ? -    • What is the Turing Test?  
What is LLM Alignment ? -    • What is LLM Alignment ?  
What are Agentic Workflows? -    • What are Agentic Workflows ?  
Why is AI going Nuclear? -    • Why is AI going Nuclear?  
What is Synthetic Data? -    • What is Synthetic Data?  
What is NLP? -    • What is NLP ?  
What is Open Router? -    • What is Open Router ?  
What is Sentiment Analysis? -    • What is Sentiment Analysis ?  

SDK(s) in Pinecone Vector DB -    • SDK(s) in Pinecone Vector DB  
Pinecone Vector DB POD(s) vs Serverless -    • Pinecone Vector Database PODS vs Serverless  
Meta Data Filters in Pinecone Vector DB -    • Meta Data Filters in Pinecone Vector Database  
Namespaces in Pinecone Vector DB -    • Meta Data Filters in Pinecone Vector Database  
Fetches & Queries in Pinecone Vector DB -    • Meta Data Filters in Pinecone Vector Database  
Upserts & Deletes in Pinecone Vector DB -    • Meta Data Filters in Pinecone Vector Database  
What is a Pineconde Index -    • What is a Pinecone Index ?  
What is the Pinecone Vector DB -    • What is a Pinecone Index ?  
What is LLM LangGraph ? -    • What is LLM LangGraph?  
AWS Lambda + Anthropic Claude -    • AWS Lambda + Anthropic Claude  
What is Llama Index ? -    • What is LLM Llama Index ?  

LangChain HelloWorld with Open GPT 3.5 -    • LangChain HelloWorld with Open GPT 3.5  
Forget about LLMs What About SLMs -    • Forget about LLMs What About SLMs ?  
What are LLM Presence and Frequency Penalties? -    • What are LLM Presence and Frequency Penalt...  
What are LLM Hallucinations ? -    • What are LLM Hallucinations ?  
Can LLMs Reason over Large Inputs ? -    • Can LLMs Effectively Reason over Large Inp...  
What is the LLM’s Context Window? -    • What is the LLM's Context Window ?  
What is LLM Chain of Thought Prompting? -    • What is LLM Chain of Thought Prompting?  
Algorithms for Search Similarity -    • Algorithms for Search Similarity  
How LLMs use Vector Databases -    • How LLMs use Vector Databases  
What are LLM Embeddings ? -    • What are LLM Embeddings ?  
How LLM’s are Driven by Vectors -    • How LLM’s are Driven by Vectors  
What is 0, 1, and Few Shot LLM Prompting ? -    • What is 0, 1, and Few Shot LLM Prompting ?  
What are the LLM’s Top-P and TopK ? -    • What are the LLM’s Top-P + Top-K ?  
What is the LLM’s Temperature ? -    • What is the LLM’s Temperature ?  
What is LLM Prompt Engineering ? -    • What is LLM Prompt Engineering ?  
What is LLM Tokenization? -    • What is LLM Tokenization ?  
What is the LangChain Framework? -    • What is the LangChain Framework?  
CoPilots vs AI Agents -    • AI CoPilots versus AI Agents  
What is an AI PC ? -    • What is an AI PC ?  
What are AI HyperScalers? -    • What are AI HyperScalers?  
What is LLM Fine-Tuning ? -    • What is LLM Fine-Tuning ?  
What is LLM Pre-Training? -    • What is LLM Pre-Training?  
AI ML Training versus Inference -    • AI ML Training versus Inference  
What is meant by AI ML Model Training Corpus? -    • What is meant by AI ML Model Training Corpus?  
What is AI LLM Multi-Modality? -    • What is AI LLM Multi-Modality?  
What is an LLM ? -    • What is an LLM ?  

🔠KEYWORDS 🔠
#OpenAISwarm
#AIAgents
#MultiAgentSystems
#LangChain
#LangGraph
#GoogleADK
#AgenticFrameworks
#LLMEngineering
#AIWorkflow
#AIPrototyping