mnueron is a memory layer, not an AI. The interesting question is "what do you build on top of it?" These samples show concrete patterns that customers commonly need.
| Sample | What it shows | Status |
|---|---|---|
| Chatbot with persistent memory | Persistent conversation memory across sessions, automatic recall of relevant prior context | Pattern documented |
| Document analyzer | Ingest a folder of docs, recall cross-document insights, answer "what did we say about X anywhere?" | Pattern documented |
| Meeting-notes recorder | Transcribe → extract decisions/actions → save by meeting namespace → cross-meeting recall | End-to-end skeleton in examples/apps/ |
| Elevizio integration | How a real production app uses mnueron at the framework layer | Coming soon — placeholder |
Each sample lives on its own page with full code. Start with whichever one matches your use case most closely.