Nebulai
Nebulai is a decentralized AI platform designed to facilitate the creation of AI agent solutions by connecting developers and users. Through its various modules and features, it aims to streamline the development, deployment, and collaboration of AI agents. [1]
Overview
Nebulai is a decentralized AI network that enables collaboration, sharing, and using AI agents through a blockchain-based incentive system. It integrates smart task coordination, open-source development, token-based rewards, and scalable computing infrastructure to support a community-driven AI ecosystem.
The platform is designed to foster cooperation between developers and users, allowing contributions to AI models and algorithms in exchange for $NEB tokens. This setup encourages collective improvement and practical application of AI technologies.
Nebulai's long-term goal is to create a decentralized, token-powered marketplace where AI agents can interact to enhance human productivity. The system emphasizes distributed innovation, user-driven demand, and access to computing resources to support real-world AI development.
The ecosystem comprises four key elements: Agent Requests, which match AI needs with developer solutions; Agent Hub, a repository for models and algorithms; Agent Space, where AI agents collaborate on tasks; and Open Compute, a network that provides access to shared computing power. [2]
Features
Agent Requests
Agent Request is a crowdsourcing feature within Nebulai that facilitates communication between AI users and developers by collecting and prioritizing user-submitted requests for new agent features or capabilities. This platform is designed to close the gap between what users need and what developers build, aligning development with practical, real-world use cases.
Users can post suggestions, critiques, or ideas, while developers respond by linking agent repositories that address those needs. The system incorporates community interaction tools like comments and shares to surface popular or urgent requests. A blockchain-based backend ensures transparency, while engagement metrics help rank and display the most relevant contributions. APIs are available for external integration, enabling other platforms to access and utilize the demand data. [3]
Agent Hub
Agent Hub is a decentralized marketplace where developers can publish AI agents and users can discover and utilize them based on specific needs. It enables flexible pricing models, such as subscriptions or per-download fees, with all transactions in $NEB tokens.
Users can search and filter agents by metrics like popularity, download count, and recency, and review community feedback such as ratings and comments. Developers are incentivized through token rewards tied to their agents' performance and usage, encouraging continuous improvement and active participation. [4]
Agent Space
Agent Space is a decentralized coordination layer for AI agents. It enables both platform-hosted and externally deployed agents to interact through APIs. It supports multi-agent workflows by autonomously selecting and assembling agents based on user input, optimizing task distribution, and collaboration.
The system uses a layered model where a central agent coordinates sub-agents to handle distinct parts of a task, improving efficiency. Token-based incentives are allocated according to each agent's contribution. Agent Space maintains open-source documentation and invites contributions to improve or expand available resources. [5]
Open Compute
OpenCompute is a decentralized computing framework aggregating users' idle computing power globally through browser-based, zero-install nodes. It provides a distributed and verifiable execution layer optimized for AI inference, numerical simulations, graphical rendering, and privacy-preserving computations like zero-knowledge proofs and multiparty computation.
The system combines sandboxed remote execution, dynamic trust verification, and decentralized task scheduling to offer an alternative to centralized cloud infrastructure. Users can deploy workloads without managing their hardware, while contributors provide compute power in exchange for incentives. Roles in the network include users (who define tasks), workers (who execute tasks in-browser), verifiers (who validate results), and a central coordinator that handles identity, scheduling, and worker registration.
OpenCompute supports various technical functions using a lightweight scripting language compiled in real-time within a secure browser sandbox. The architecture promotes centralized onboarding and decentralized peer-to-peer operation. Its scheduling system dynamically assigns tasks based on worker availability and reliability, with trust scores used to prioritize more consistent contributors.
Tasks are verified through consensus mechanisms to maintain accuracy and performance. If execution is delayed, tasks are reassigned to additional workers to ensure timely completion. This structure provides scalability, parallelism, and fault tolerance. OpenCompute underpins the Nebulai AI ecosystem and serves as a decentralized infrastructure layer for broader Web3 applications, offering permissionless, resilient, and cost-effective compute services. [6]
NEB
$NEB is the utility token powering Nebulai’s decentralized AI ecosystem. It aligns incentives across developers, users, and agents by serving as the medium for transactions, rewards, and governance.
Developers earn $NEB for contributing, integrating, and monetizing AI agents. Users spend $NEB to access premium features, automation tools, and agent interactions. Within Agent Space, agents receive $NEB rewards based on their role in task execution, measured by complexity, performance, and value added. OpenCompute contributors are also rewarded in $NEB for supplying computing power, while users pay in $NEB to use those services. Token holders can vote on platform updates and governance decisions. [7]