kazimurtaza/HomebrewAgenticAI

A Python-based Agentic RAG system that uses local LLMs (Ollama) for intelligent documentation crawling, summarization, and vector embeddings (Supabase). Features a self-correcting agentic loop that dynamically refines answers through tool usage and validation, providing a robust, local solution for accurate information retrieval and generation.

20
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 1 / 25
Maturity 9 / 25
Community 0 / 25

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1

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Language

Python

License

Apache-2.0

Category

agentic-rag-systems

Last pushed

Jan 08, 2026

Commits (30d)

0

GitHub
Agentic RAG Systems · 96 tools

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