ai-athena

Local AI Experiments

Experiments with local models, retrieval, tool use, and privacy-aware AI assistants

The Problem

Cloud-hosted AI services raise privacy, cost, and dependency concerns. Exploring what is possible with local inference and retrieval on consumer hardware.

The Solution

Running local language models, building RAG pipelines, and experimenting with agent tool use. Focused on privacy-aware, offline-capable AI workflows.

Impact & Results

Ongoing learning and R&D lab track on Athena. Informing how I think about AI-assisted security tooling and local intelligence.

Tech Stack

OllamaLM StudioPythonCUDAOpen WebUIRAG

Metadata

Date:Apr 2026 → Aug 2026
Status:exploring
Phase:exploration