Keep MOOFing!

PreviousMOOF Acceleration Program

Last updated 7 days ago

Keep MOOFing!

MOOF will democratize the creation and deployment of complex Agentic AI systems – ensuring this power is in the hands of many, used for good, and continuously advancing in alignment with human values.

Short-Term Deliverables (by end of 2025):

Assess the onchain market liquidity and determine whether we should add the MOOF Launchpad function, allowing users to launch tokenized Agentic universes. We don't want to enable the launchpad at the beginning, as we prefer that users first focus on exploring the platform's utility by building agents or even entire Agentic universes.
Complete the rest of MOOF features:
- MOOF Evolution Engine - 2025Q2
- MOOF Memory Network - 2025Q2
- MOOF Knowledge Graph - 2025Q3
- MOOF Governance Hub - 2025Q2
Establish partnership with at least one AI compute provider to allow all AI agents on MOOF to access 'pulg-and-play' AI compute for full potential of MOOF Evolution Engine.
Continue improving MMDK based on the latest trend in AI industry. We will support all major AI protocols that bring more value to MOOF ecosystem. The obvious next step is to integrate Google's as part of MOOF architecture.
Build at least 10,000 AI agents on MOOF and 100 Agentic AI Universes to have meaningful onchain or real world impact. It is a big milestone and we need the support from the whole MOOF community!
Collaborate with other ecosystem players to host at least one online “Agentic AI Hackathon” with both cash and token prizes to populate MOOF platform and further grow the community.
The deliverables above are already in our pipeline and we have full commitment to complete all of them by 2025. We actively welcome community ideas and continuously track AI industry advances to explore new ways to grow $MOOF and deliver value.

Long-Term MOOF:

Cross-Universe Interaction: Enable different universes to connect in meaningful ways, essentially forming an Agentic AI Multiverse. Perhaps via portal agents or common communication hubs, one agentic universe can hand-off tasks or agents to another. For example, an “AI Universe for Literature” could connect with an “AI Universe for Science” to collaborate on a multidisciplinary research project – all autonomously. This requires careful standardization of contexts and data exchange, but would showcase the modularity and power of agentic systems.
Open Platform & API: Fully open up the platform API so that external developers can build on MOOF. This means someone could use MOOF purely via API to spin up agent universes from their own application, or integrate an existing product with MOOF’s agent engine. This will extend MOOF’s reach beyond our own UI, making it a backend service for agent-based apps.
Advanced Evolution on Evolution Engine: Incorporate more sophisticated AutoML into the Evolution Engine and establish partnerships with more AI compute providers, allowing agents to evolve their knowledge and capabilities at a faster pace. Explore fine-tuning of open-source models on the platform using reinforcement learning signals gathered (with privacy-preserving methods). This blurs the line between “prompt-based agents” and “trained AI models,” but offers power users the ability to continuously improve agent capabilities at the model level. This could leverage federated learning if multiple deployments of the same agent contribute data.
Community Growth & Education: Establish a vibrant community knowledge base – documentation, tutorials, forums. Launch an official certification for “MOOF Developers” to encourage professionals to gain expertise in Agentic AI, analogous to cloud certifications for architects. Host regular community calls to discuss governance proposals, new feature releases, and highlight successful user projects (fostering a showcase culture that inspires others). $MOOF will play a key part in the community incentives.
Decentralized Autonomous Universes: Transition MOOF into a platform that could run truly decentralized. This means agent universes that are not dependent on our cloud at all – instead, they can spawn across a peer-to-peer network of nodes contributed by users. Through blockchain smart contracts, these universes could have their own “life” – for example, an open-source simulated society could exist persistently with nobody able to shut it down, governed entirely by its participants via tokens. This is akin to a metaverse of AI agents with decentralized governance. Achieving this will require advancing the underlying tech for sure. We will actively explore this with other ecosystem partners.
Human-AI Societies and Collaboration: Push the envelope on useful human-agent and agent-agent collaboration patterns. MOOF could enable crowd AGI scenarios – large ensembles of specialized agents that, collectively, approach problem-solving with human-level competency in open domains. This could be applied to global challenges (like climate modeling, drug discovery) by orchestrating many expert agents. We would develop specialized frameworks on top of MOOF for these domains, possibly in partnership with academic and research institutions.

PreviousMOOF Acceleration Program

Last updated 7 days ago

MOOF will democratize the creation and deployment of complex Agentic AI systems – ensuring this power is in the hands of many, used for good, and continuously advancing in alignment with human values.

Short-Term Deliverables (by end of 2025):

Assess the onchain market liquidity and determine whether we should add the MOOF Launchpad function, allowing users to launch tokenized Agentic universes. We don't want to enable the launchpad at the beginning, as we prefer that users first focus on exploring the platform's utility by building agents or even entire Agentic universes.
Complete the rest of MOOF features:
- MOOF Evolution Engine - 2025Q2
- MOOF Memory Network - 2025Q2
- MOOF Knowledge Graph - 2025Q3
- MOOF Governance Hub - 2025Q2
Establish partnership with at least one AI compute provider to allow all AI agents on MOOF to access 'pulg-and-play' AI compute for full potential of MOOF Evolution Engine.
Continue improving MMDK based on the latest trend in AI industry. We will support all major AI protocols that bring more value to MOOF ecosystem. The obvious next step is to integrate Google's as part of MOOF architecture.
Build at least 10,000 AI agents on MOOF and 100 Agentic AI Universes to have meaningful onchain or real world impact. It is a big milestone and we need the support from the whole MOOF community!
Collaborate with other ecosystem players to host at least one online “Agentic AI Hackathon” with both cash and token prizes to populate MOOF platform and further grow the community.
The deliverables above are already in our pipeline and we have full commitment to complete all of them by 2025. We actively welcome community ideas and continuously track AI industry advances to explore new ways to grow $MOOF and deliver value.

Long-Term MOOF:

Cross-Universe Interaction: Enable different universes to connect in meaningful ways, essentially forming an Agentic AI Multiverse. Perhaps via portal agents or common communication hubs, one agentic universe can hand-off tasks or agents to another. For example, an “AI Universe for Literature” could connect with an “AI Universe for Science” to collaborate on a multidisciplinary research project – all autonomously. This requires careful standardization of contexts and data exchange, but would showcase the modularity and power of agentic systems.
Open Platform & API: Fully open up the platform API so that external developers can build on MOOF. This means someone could use MOOF purely via API to spin up agent universes from their own application, or integrate an existing product with MOOF’s agent engine. This will extend MOOF’s reach beyond our own UI, making it a backend service for agent-based apps.
Advanced Evolution on Evolution Engine: Incorporate more sophisticated AutoML into the Evolution Engine and establish partnerships with more AI compute providers, allowing agents to evolve their knowledge and capabilities at a faster pace. Explore fine-tuning of open-source models on the platform using reinforcement learning signals gathered (with privacy-preserving methods). This blurs the line between “prompt-based agents” and “trained AI models,” but offers power users the ability to continuously improve agent capabilities at the model level. This could leverage federated learning if multiple deployments of the same agent contribute data.
Community Growth & Education: Establish a vibrant community knowledge base – documentation, tutorials, forums. Launch an official certification for “MOOF Developers” to encourage professionals to gain expertise in Agentic AI, analogous to cloud certifications for architects. Host regular community calls to discuss governance proposals, new feature releases, and highlight successful user projects (fostering a showcase culture that inspires others). $MOOF will play a key part in the community incentives.
Decentralized Autonomous Universes: Transition MOOF into a platform that could run truly decentralized. This means agent universes that are not dependent on our cloud at all – instead, they can spawn across a peer-to-peer network of nodes contributed by users. Through blockchain smart contracts, these universes could have their own “life” – for example, an open-source simulated society could exist persistently with nobody able to shut it down, governed entirely by its participants via tokens. This is akin to a metaverse of AI agents with decentralized governance. Achieving this will require advancing the underlying tech for sure. We will actively explore this with other ecosystem partners.
Human-AI Societies and Collaboration: Push the envelope on useful human-agent and agent-agent collaboration patterns. MOOF could enable crowd AGI scenarios – large ensembles of specialized agents that, collectively, approach problem-solving with human-level competency in open domains. This could be applied to global challenges (like climate modeling, drug discovery) by orchestrating many expert agents. We would develop specialized frameworks on top of MOOF for these domains, possibly in partnership with academic and research institutions.