Building a Multi-Agent AI System from Scratch (No Frameworks)

A developer built a multi-agent AI pipeline in pure Python without frameworks like CrewAI or AutoGen. The system uses five agents with distinct roles and system prompts, passing outputs sequentially. The implementation is simpler, more debuggable, and works with any LLM provider.

You dont need CrewAI or AutoGen. Heres how to build a multi-agent pipeline in pure Python. The Concept 5 AI agents collaborate in a pipeline: Each agent has a role, a system prompt, and passes output to the next. Implementation Why No Framework? - Simpler : 50 lines vs 500 lines with CrewAI - Debuggable : You can see exactly whats happening - Flexible : Add/remove agents easily - No dependencies : Just requests library - Works with any LLM : Ollama, OpenAI, Groq, anything Pro Tips - Different models per agent : Use codellama for code review, llama3.2 for writing - Temperature : Lower for Researcher factual , higher for Writer creative - Fallback : If one model fails, try another - Logging : Save each agents output for debugging Use Cases - Blog post pipeline - Video script generation - Social media content - Research reports - Code review chains 🔗 Full implementation: github.com/amrendramishra/ai-tools https://github.com/amrendramishra/ai-tools 🌐 amrendranmishra.dev https://amrendranmishra.dev Building AI tools daily. Follow for more.