Samarai Core is a cross-platform graph language framework that includes the graph language Havel. It consists of libraries and tools for software developers, administrators and power users. It is the base for all other Samarai Projects.

Samarai Brain is an interpreter and runtime-environment service for Havel. It is cross-platform and includes Samarai Cloud Brain, a cloud-optimized version.

Samarai Zero is an integrated modelling environment (IME) for Havel. It is a complex tool designed to be used by trained domain-specialist. It enables users to use the full power of Havel at the cost of technical complexity and a somewhat shallow learning curve. Samarai Zero is designed to run on desktop computers.

Samarai One is an iNtuitive modelling environment (NME) for Havel. It is a cross-platform tool designed to run on smartphones, tablets and touch-enabled desktops. It comes with similar functionality as Samarai Zero but with less clutter and less detail functionality. Its GUI is optimized for touch screens.

Samarai Two is a community-driven, postmodern business management solution for self-employees, micro-businesses, small to mid-sized companies and NGOs.

Samarai Share is a community-driven, information and functionality-sharing platform for Havel. It enables users to share and sell Havel-expressed information, content and functional modules.

Alotau is a high-volume information repository for universal data and Havel. It is an enterprise-grade graph database supporting the semanto-relational data model.

WIS stands for World Information System; it is the code name for a project still under consideration. The idea behind WIS is that we need a platform for Havel that offers basic, factual information that others can use to base their information on. Examples would be language, country and currency lists, taxonomies, persons of public interest, significant events, etc. WIS would mainly provide the public tokens that are necessary to unify distributed semantic information systems and create the basic relations between them. WIS is like a global, neutral reference book. WIS does not want to be a semantic encyclopedia; we hope that others will take on this task.