Research, experiments, and implementation notes filed under local-ai.
Hugging Face Funes Turns Agent Sessions Into Owned Memory
Hugging Face's funes is a practical local-first memory layer for coding agents: index raw session traces, keep provenance, and share through a dataset only when you choose.
Ollama Brings Local Models Into Claude Desktop
Ollama's Claude Desktop support gives builders a simple way to route desktop AI work to local or Ollama-hosted open models, with a practical smoke test before trusting the...
GPU Scheduling Is Becoming AI Infrastructure Work
A practical look at why GPU allocation order matters for AI teams running mixed training, inference, quantization, and batch workloads.
Testing Nemotron 3.5 Lightning in a Local Agent Loop
A small Ollama-based test of NVIDIA Nemotron 3.5 Lightning as a local tool-calling worker.
Muse Glimmer Shows What a Practical Local-Agent Stack Looks Like
How Muse Glimmer, LoRA, QLoRA, and quantization fit together when you build a local agent for real work.