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AiTechWorlds
AiTechWorlds
Agent Development
Learn to serve AutoGen multi-agent systems as production REST APIs using FastAPI with async endpoints and real-time streaming responses.
Step-by-step AutoGen group chat tutorial: build a researcher, coder, and critic agent system with proper termination logic and real working code.
Build a full CrewAI system with Writer, Researcher, and Editor agents. Complete Python code with Agent, Task, and Crew setup, plus honest comparison with AutoGen.
Centralized, hierarchical, peer-to-peer — each MAS architecture trades off complexity for scalability. Here's how to pick the right pattern for your project.
From message passing to publish-subscribe and contract net — here are the 7 communication protocols used in multi-agent systems, with Python examples for each.
Majority voting, Borda count, auction mechanisms — how multi-agent systems reach agreement. Complete Python implementations with comparison table for each approach.
AutoGen, CrewAI, LangGraph, MetaGPT — compare all 10 major multi-agent frameworks on GitHub stars, ease of use, and real strengths. Pick the right one for your project.
Master sequential, parallel, conditional, loop, and DAG orchestration patterns for multi-agent systems. Full Python and LangGraph code examples with comparison table.
Build a working 3-agent research pipeline with a Planner, Searcher, and Writer using LangChain and AutoGen — complete code with role definitions and output format.
Multi-agent systems let multiple AI agents collaborate to solve complex tasks. Here's a plain-English breakdown of how they work and why they matter.
Single agent or multi-agent? This decision guide compares complexity, cost, latency, and use cases so you can pick the right architecture every time.
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