FareedKhan-dev/qd-langchain-agents

Evolving LangChain agent architectures using the Quality-Diversity (QD) algorithm.

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This project helps AI developers build more robust and versatile AI agents or RAG systems by automating the design process. It takes a conceptual design for an AI agent or RAG system and generates numerous diverse and high-performing architectural blueprints. AI developers can use this to overcome the limitations of manual design and find novel solutions.

No commits in the last 6 months.

Use this if you are an AI developer looking to explore a wide range of agent or RAG architectures to find the best fit for complex, real-world problems, rather than hand-optimizing a single design.

Not ideal if you need a quick, simple solution for a well-defined problem with clear, singular optimization criteria, as this tool is designed for broad architectural exploration.

AI-architecture-design RAG-system-optimization agent-development evolutionary-algorithms AI-system-design
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 15 / 25

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Stars

17

Forks

5

Language

Jupyter Notebook

License

MIT

Last pushed

Aug 29, 2025

Commits (30d)

0

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