Njn vs Decubed

Njn — Your Voice-First AI Assistant Talk to AI the way conversation actually works — out loud, in the moment, without typing into a box. Njn is built from the ground up around voice, with an ambient visual interface that responds as you speak. Meet Your Crew Njn isn't one assistant. It's four, each with a distinct personality and role. Zee leads — quick, direct, conversational. SiD, aDa, and CC bring different perspectives and strengths. Switch between them on command, or let the right one step in when the moment calls for it. A Memory That Actually Remembers Njn builds a personal memory of your conversations over time — a system called the Library of Awareness. Context carries across sessions, so you're not reintroducing yourself every time you open the app. The more you use it, the more it feels like yours. Voice-First, Always Just speak. Tap the orb or say the wake word, and Njn is listening. Type when you want to. Voice is the native experience. Powered by Frontier AI Njn taps into the best available models through a single unified interface — no juggling apps, no chasing the latest release. Key Features — Voice-first conversational AI with ambient visual interface — Four distinct AI personas: Zee, SiD, aDa, and CC — Persistent memory across sessions — Access to leading AI models in one place — Customizable appearance, voice, and audio — Local-first architecture built around privacy and speed Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Decubed is the local-first AI workspace for the models, tools, memory, and agent workflows you choose. Most AI apps start with one model. Decubed starts with your environment. It gives you one place to connect model providers, work with local or remote model paths, keep durable threads, manage memories, and control which tools an agent can use. Use Decubed to: - Bring local, remote, linked-account, and custom models into one workspace. - Keep threads, folders, memory, tools, approvals, and run history attached to your environment. - Approve sensitive tool actions before they run. - Inspect tool calls, waiting states, and completed runs in the thread. - Configure agents around jobs with their own model, prompt, tools, skills, and memory policy. Decubed is designed for people who want model choice without giving up context or control. Run supported models on device when work should stay close to you, or connect hosted providers when a task needs remote capability. Bring the model. Keep the control.