FareedKhan-dev/agentic-parallelism
Core concepts - where to apply parallelism in agentic solution
This project offers practical examples for building AI agent systems that work faster and more reliably. It shows how to use multiple AI agents or processes simultaneously to handle tasks like market analysis, content evaluation, or large data searches. Anyone building or managing AI-powered applications who needs to improve their performance or accuracy would find this useful.
Use this if you are developing AI agent solutions with LangChain or LangGraph and need to make them more efficient, resilient, or capable of handling complex, real-world problems.
Not ideal if you are not working with AI agents or are looking for a plug-and-play solution without needing to understand the underlying architectural patterns.
Stars
89
Forks
27
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 20, 2025
Commits (30d)
0
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