Select an installed Ollama model and load it into memory
Chat through Ollama's native /api/chat endpoint
Attach screenshots and JPEG/PNG/WebP images for vision-capable models
Attach text PDFs; PDF text is extracted with pypdf
Add public HTTP/HTTPS URLs for HTML/text, images, or PDFs
View live host RAM and swap statistics
View Ollama's loaded-model memory split: total, GPU VRAM, and normal RAM/offload
View NVIDIA GPU telemetry when nvidia-smi is available

The chat UI polls runtime memory once per second and keeps a short in-browser history for the current page session.

Security limits

Uploaded files are limited to 20 MiB each
Fetched URLs are limited to 15 MiB and a 30-second timeout
Private, loopback, link-local, reserved, multicast, and unspecified URL targets are blocked, including redirect destinations
Remote documents are inserted as untrusted content, not system instructions
Only locally installed models can be selected or loaded; chat does not download models

Dependency

Install the plugin's Python dependency in the Hermes runtime environment:

pip install -r requirements.txt

pypdf is required for text-based PDF extraction. Scanned/image-only PDFs need OCR and are not converted to text by this plugin.