Not startedR-20
Organization data sharing
Lets users create organizations and share data semi-publicly within them, laying the groundwork for team apps and enterprise management.
COLLABORATIONORGANIZATION
This is not a list of promises. It is where we are heading and how far we have come. Some capabilities are already running, some are being planned, and some are still open questions. We choose to make all of them public.
Lets users create organizations and share data semi-publicly within them, laying the groundwork for team apps and enterprise management.
Fully opens data access between users, so the peer-to-peer network can truly cover a broader range of public content and relationships.
Supports local playback and third-party integration, with on-screen comments, subtitle editing, and audio-track switching planned for later.
A preview panel for network content inside the virtual system — effectively a “browser” for the decentralized network.
Surfaces the data users actually need from the flood of information, routing by relationships, interests, and connection quality.
Content lives on users’ own devices and spreads through peer relationships. No central timeline, and no platform ownership.
A personalized points system for every user, where points and relationship weights combine to enable smarter content distribution.
Built on the micro-component system, it links ads with points to form a lightweight, verifiable loop of distribution and incentives.
Runs as a standalone application on a real operating system, supports offline installation and deployment, and brings Mazmot apps to the desktop.
Lets MCUs run a low-level NoneOS mode, so smart-home devices can interact directly without depending on a central cloud.
A simple task-assignment solution built on organization data sharing. Awaiting real demand and a resource assessment.
No expensive central servers: players’ local devices and lightweight nodes work together for an always-online multiplayer experience.
Lets users exchange points freely, building a transparent and efficient mechanism for points circulation. Requires relevant licensing and compliance design.
A closed loop for redeeming real and virtual goods, built on the points system. Requires relevant licensing and payment compliance.
Developer resources are now a skill library for AI agents: Mazmot skills and NoneOS skills are maintained alongside their repositories and no longer rely on the old developer docs site.
Encrypted relay with lower latency that works in parallel with P2P and is intelligently scheduled when direct peer connections are unstable.
Mazmot’s official AI app generator. It generates complete ofa.js projects from a conversation, writes them into the virtual file system, and previews them in isolation.
A peer-to-peer app launcher and sharing network that supports three app sources: local, virtual, and marketplace.
The foundation of NoneOS. It packages complex modules into independent, self-contained units that can run and evolve on their own.
Foundational components such as input fields and dialogs form the core UI layer of the operating system.
A file compatibility layer for the browser environment, and the basis for running the system and persisting local data.
A local virtual server built on the file system, supporting web request handling and testing.
A core app launched at system startup, supporting copy, paste, cut, and cross-device sharing.
Initializes user IDs, generates keys, and allows username changes — the basis for data sharing and content signing.
Users exchange device IDs and bind accounts, then verify identity to enable secure peer-to-peer data sharing.
A clean text viewer and editor for quickly viewing and modifying local virtual files.
A basic image viewer that validates the system’s default-app logic. Editing and third-party integration are planned.
Automatically syncs and exchanges data for app development, so developers can focus on presenting data instead of syncing it by hand.
A bookmark folder for the web, with shared pages syncing across devices and no complex setup.
Integrates multiple AI service APIs, so developers can plug in directly and users can choose their own provider.
From the browser runtime to Conjure, and on to a truly peer-to-peer network. If this direction resonates with you, come build it with us.