JotBunker vs Localresearch

JotBunker is a note-taking app for your phone and your computer. You jot on your phone. You work and store in your Bunker, a secure computer on your home network. Sync happens over your local Wi-Fi when you choose. No cloud. No accounts. No data ever leaves your network. FOUR WORKSPACES • Jots: Six numbered slots for quick capture. Each slot holds text, drawings, photos, voice recordings, and file attachments. Fill the slots, sync them to your computer, and clear them for the next round. • Lists: Todos and checklists. Rename categories, reorder items, check things off on either device. Changes merge when you reconnect. • Locked Lists: Gate codes, lock combos, membership numbers, safe combinations. Protected behind biometrics and auto-locked the moment you navigate away. • Scratchpads: Six freeform text areas. Start a thought on your computer, pick it up on your phone. HOW SYNC WORKS Pair once by scanning a QR code. After that, tap Sync whenever you're on your home network. All network traffic is encrypted end-to-end with NaCl. Nothing goes through an external server. From your computer, download jots as plain files (.txt, .jpg, .m4a, .pdf) into folders you choose. Use them with anything: search tools, scripts, a PKM system, or just File Explorer. OPEN SOURCE JotBunker source code is publicly available under the GPL-3.0 license at github.com/johnbrantly/jotbunker. The companion desktop app is available at jotbunker.com.

Localresearch is an offline-first AI workspace for iPhone, built for private local inference, deeper reasoning, and document-assisted work when connectivity is limited, unavailable, or simply not desired. Download models to your device, then chat, analyze documents, and run structured Localresearch workflows directly on your iPhone. No account is required, and your chats, archives, settings, and downloaded models stay on your device. Why Localresearch? • Offline-first AI after model download • Private on-device chat with local GGUF models • Multi-pass Localresearch workflows for deeper reasoning • Document memory for reusing files across chats and research • Folder-based organization for chats, memory, and archives • Tactical-inspired Camo and IR themes for day and night use Built for real-world use Localresearch is designed for people who want mobile AI that still works when signal is weak, travel is remote, or privacy matters more than convenience. It is well suited to fieldwork, travel, offline note-taking, document review, and low-connectivity situations where cloud-first tools are unreliable or unavailable. Go beyond the first answer Standard AI chat apps often stop at the first response. Localresearch adds a structured Localresearch mode where multiple AI roles challenge, refine, and judge a goal across several passes before returning a final result. Runs can be archived, reviewed later, and reused when needed. Use local models your way Choose from built-in models or add compatible GGUF sources yourself. Switch between downloaded models, organize conversations into folders, and adjust settings like system prompt, generation length, and context size. Work with documents and memory Import files and supported images, process them locally, and attach memory sources to chats or Localresearch sessions. Reuse important material over time instead of starting from scratch each time. Privacy-first by design Localresearch is built around local storage and on-device inference. Your chats, settings, memory, and research archives remain on your iPhone unless you explicitly choose to download a model from a third-party host or open an external link. When connectivity matters less, your tools matter more. Take your AI workspace off the grid with Localresearch.