Solution: The MOOF System

MOOF is an end-to-end platform designed to make Agentic AI Universe creation accessible and powerful.

An Agentic AI Universe refers to a self-contained world or environment (digital, and potentially interfacing with the real world) populated by multiple AI agents with distinct roles, personalities, and skills. In a MOOF universe, agents can communicate with each other, collaborate on tasks, adapt to changes, and even evolve over time – all under the guidance of the user’s objectives and constraints.

At its core, MOOF provides a unified system that brings together the necessary components for building and running these agent ecosystems:

• MOOF Playground: an intuitive visual sandbox where users can design, configure, and observe agent interactions in real time. This is the “workspace” for assembling Agentic AI and eventually Agentic AI universe.

• MOOF Multi-agent Development Kit (MMDK): a suite of tools, templates, and libraries for creating agents and defining their behaviors – supporting both no-code configuration and code customization for advanced users.

• MOOF TEE MCP (MTM): a secure execution environment leveraging Trusted Execution Environments (TEE) by Phala Cloud (Phala Network) to host Agentic AI and Agentic AI Universes with confidentiality and reliability. The MTM ensures that agent code runs in isolated, attested enclaves, protecting both the user’s data and any proprietary agent logic.

• MOOF Marketplace: a built-in marketplace where creators can publish their individual Agentic AI and even Agentic AI Universes for others to deploy or interact with. This marketplace is coupled with MOOF Acceleration Program – a token-based economic model to encourage contributions and adoption.

• MOOF Evolution Engine: a module that can automatically optimize and improve agents over time by analyzing their performance, incorporating feedback, and even allowing agents to leverage external AI compute (via MCP) to train and evolve themselves beyond what is possible with local resources alone.

• MOOF Memory Network: an integrated memory subsystem that allows agents to store and retrieve long-term knowledge about their world and experiences, beyond the transient context of a single LLM prompt.

• MOOF Knowledge Graph: a globally accessible knowledge base of structured facts and relationships that agents can query to ground their reasoning in real data, reducing hallucination and inconsistencies​.

• MOOF Governance Hub: a control center for setting policies, ethical guidelines, and access controls for agent universes, as well as a portal for community governance (e.g. voting on platform rules or flagging problematic agent behavior).

These components work in harmony as part of the MOOF pipeline: from design to deployment to monetization. A creator might start in the MOOF Playground using the MMDK to instantiate a set of agents (for example, a team of healthcare AI assistants in a hospital simulation). They would utilize the Memory Network and Knowledge Graph to equip agents with context (e.g. patient records, medical knowledge) and then use the Evolution Engine to automatically upgrade the agents over time, refining the agents’ decision-making.

The creator can deploy the Agentic AI or even the entire universe on MOOF powered by TEE MCP hosting and MMDK with a few clicks. Through the MOOF Marketplace, they could list agents, MCPs or even the whole universe for others to use, earning $MOOF tokens via the MOOF Acceleration Program whenever their creation is utilized.

Crucially, MOOF is built to embrace open standards and interoperability. The platform natively supports Google's Agent-to-Agent (A2A) communication protocol, meaning agents created in MOOF can communicate with external agents or services using the A2A format.

In essence, MOOF’s solution can be seen as a full-stack platform for multi-agent AI and Universe, powered by latest technologies and well-designed economic model, covering development, deployment, and distribution.