We released Ever Teams platform for Work & Project Management. Please check https://github.com/ever-co/ever-teams and make it ⭐ on GitHub! It's built with a React (NextJs) / ReactNative (Expo) stack and connects to headless Ever Gauzy Platform APIs.
Ever® Gauzy™ - Open Business Management Platform for Collaborative, On-Demand and Sharing Economies.

Ever® Gauzy™ Platform is a part of our larger Open Platform for Collaborative, On-Demand and Sharing Economies - Ever® Platform™.
Main features:
A more detailed list of the features available in the platform:
Read more about Gauzy and how to use it at your company, on-demand business, freelance business, agency, studio or in-house teams.
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Ever Gauzy Platform Demo at https://demo.gauzy.co.
Notes:
admin@ever.co and the password is admindevelop branchYou can download Gauzy Platform, Gauzy Server, or Desktop Apps (Windows/Mac/Linux) from the official Downloads page.
In addition, all releases and pre-releases downloads are also available from the following pages:
Ever® Gauzy™ Platform SaaS is available at https://app.gauzy.co.
Note: it's currently in Alpha version/testing mode, please use it cautiously!
stage branch) are available at https://stage.gauzy.coWe have Gauzy Server and two Desktop Apps (for Windows/Mac/Linux):
Ever® Gauzy™ Server - includes Gauzy API, SQLite DB (or connects to external PostgreSQL) and serves Guazy frontend. It allows to quickly run Gauzy Server for multiple clients (browser-based or Desktop-based). It's a recommended option if you want to setup the Ever Gauzy Platform in small to medium organizations.
Ever® Gauzy™ Desktop App - includes Gauzy frontend (UI), Gauzy API, SQLite DB, etc., all-in-one! It allows to quickly run the whole Gauzy solution locally, both UI and Timer (for time tracking, optionally of course). In addition, it allows you to connect to the external database (e.g. PostgreSQL) or external API (if you have Gauzy Server with API / DB installed on a different computer or if you want to connect to our live API). It's a recommended option if you want to try Gauzy quickly / for personal use or if you want to connect to Gauzy Server in the "client-server" configuration (and use Desktop App instead of web browser).
Ever® Gauzy™ Desktop Timer App - allows running Time and Activity Tracking for employees/contractors with screenshots and activity monitoring. It is recommended to setup by organization employees as long as they are not interested in other Gauzy Platform features (e.g. accounting) and only need to track work time.
More information about our Server & Desktop Apps:
admin@ever.co and password admin to check Admin functionality if you installed Gauzy Server or Gauzy Desktop App. Note: such an Admin user is not an employee, so you will not be able to track time.employee@ever.co and password 12345678 to check Employee-related functionality in Gauzy UI or to run Desktop Timer from an "Employee" perspective (such a user is an Employee and can track time).For Production, we recommend:
Note: thanks to TypeORM / MikroORM, Gauzy will support lots of DBs: SQLite (default, for demos), PostgreSQL (development/production), MySql (development/production), MariaDb, CockroachDb, MS SQL, Oracle, MongoDb, and others (with minimal changes).
Please refer to our official Platform Documentation and our Wiki (WIP).
docker-compose -f docker-compose.demo.yml up, if you want to run the platform in basic configuration (e.g. for Demo / explore functionality / quick run) using our prebuilt Docker images. Check .env.demo.compose file for different settings (optionally), e.g. DB type. (Note: Docker Compose will use latest images pre-build automatically from head of master branch using GitHub CI/CD.)admin@ever.co and password: admin for Super Admin user.employee@ever.co and password: 12345678 for Employee user..env.compose (if needed) to use your custom settings, e.g. DB type.docker-compose up -d, if you want to run the platform in minimal production configuration using our prebuilt Docker images. (Note: Docker Compose will use latest images pre-build automatically from head of master branch using GitHub CI/CD.)Note: we recommend using Kubernetes for production workloads instead of Docker Compose!
.env.compose (if needed) to use your custom settings, e.g. DB type.docker-compose -f docker-compose.build.yml up -d, if you want to build everything (code and Docker images) locally. (Note: this is extremely long process because it builds whole platform locally. Other options above are much faster!)Notes:
docker-compose.demo.yml runs a minimum amount of containers (API, Web UI, and DB), other Docker Compose files run multiple infrastructure dependencies (see full list below).docker-compose -f docker-compose.infra.yml up -d command. We already doing it using include in our main docker compose files.--env-file .env.something to the docker-compose up command to instruct Docker Compose to use a specific .env.something file with your custom settingsTogether with Gauzy, the Docker Compose commands described above for Production (docker-compose.yml) and Build (docker-compose.build.yml) will run the following infrastructure components:
admin and password: Gauzy_password_123$ claude mcp add ever-gauzy \
-- python -m otcore.mcp_server <graph>