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Developer Builds Multi-Agent AI Pipeline in 50 Lines of Pure Python

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A developer has shared a method for building a multi-agent AI pipeline using only Python and the requests library, without relying on frameworks like CrewAI or AutoGen. The system chains five specialized agents — Researcher, Writer, Editor, Reviewer, and Publisher — each guided by a role-specific system prompt and passing its output to the next agent. The lightweight implementation runs on a local LLM via Ollama but is compatible with any provider, including OpenAI and Groq. At roughly 50 lines of code, the author argues it is significantly simpler and more debuggable than heavier framework-based alternatives. The full code has been published on GitHub by developer Amrendran Mishra.

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