I tested a fresh GitHub download → Ollama → first local coding-agent task (72 seconds, no cloud API)

I’m building DesktopLab, an open-source local-first control plane for development agents. I recorded the setup boundary that most agent demos skip: DesktopLab detects the host, proposes the supported Ollama route, selects and downloads Nemotron 3 Nano 4B Q4 for the detected machine, opens a synthetic repository, and completes a real read-only task. Setup and inference are time-compressed only where labeled. Video: https://youtu.be/XbNiTPROEmI Source and signed beta downloads: https://github.com/Vitalisimon/desktoplab I’m not looking for benchmark praise. I’m trying to make the recommendation fail honestly on hardware we don’t own. Two questions for Ollama users: Is the runtime/model selection rationale visible enough at the decision point? Which host or Ollama edge case should force the wizard to stop instead of continuing automatically? The current public beta certifies Ollama as its automatic local-runtime route. LM Studio and MLX-LM are explicitly Preview, and Windows is not public yet. submitted by /u/DesktopLabHQ [link] [comments]

Source: r/ollama | 2026-08-08