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Apr 28, 2025
Welcome to the fourth installment of Guild on 0G—our ongoing series spotlighting the builders advancing decentralized AI using the 0G stack.
Each of the projects featured in this series is helping bring 0G’s Artificial Intelligence Layer (AIL) to life: a modular foundation for permissionless compute, scalable storage, and AI-native services. From autonomous agents to composable AI protocols, this latest cohort is exploring solutions to some of the most complex challenges in distributed intelligence.
In this fourth edition, we’re featuring sightAI, xNomad, and Cove. These three very different projects share a commonality: they are pushing the boundaries of what AI could achieve in a decentralized world.
sightAI: Composable Agents with Decentralized Memory
Today’s AI systems are typically locked into centralized APIs, where compute is opaque, data is proprietary, and users have no control over memory or context. sightAI is aiming to solve this by building a permissionless network of Modular Compute Providers (MCPs), where each agent is independently addressable and traceable. This architecture is designed to let users compose, query, and switch between agents.
Core Features
Modular Compute: MCPs operate as decentralized agents, each represented by a Decentralized Identifier (DID) and deployable on demand.
Transparent Inference: Users can inspect the full chain of logic, data, and model provenance behind each AI output.
Context Persistence: Optional encrypted memory lets users carry task state across sessions, agents, and devices.
Why 0G?
Decentralized Model Hosting: Stores model weights and metadata on 0G, enabling peer-to-peer loading by compute providers.
Cross-Agent Context Layer: Encrypted user memory is stored on 0G, allowing persistent state across agents and devices.
Modular Integration: 0G’s SDK and REST-based interface allow seamless embedding in browser and node environments.
sightAI is building infrastructure for AI agents that are both composable and accountable, where each step of logic and storage can be verified. By anchoring memory and metadata in 0G, they are advancing toward a future where users move from passively interacting with AI to actively owning and shaping their experience.
xNomad: Tokenized AI Agents for the Web3 Economy
The majority of AI systems are static, centralized, and inaccessible to everyday users. xNomad is developing open-source frameworks to change that, enabling anyone to turn an NFT into an autonomous, Intelligent NFT (iNFT) agent that can manage crypto, interact with dApps, and evolve over time. These AI-NFTs live onchain, carry transferable logic, and can serve as programmable web3 assistants backed by real-time crypto intelligence.
Core Features
Autonomous Agents: AI-NFTs can interact with DeFi protocols, wallets, and apps using onchain state.
Specialized Intelligence: xNomad Brain is a crypto-native LLM designed to reason about markets and protocols.
Launch-Ready Toolkit: A full platform for deploying, training, and trading AI agents on public chains.
Why 0G?
Onchain Agent Infrastructure: Uses 0G’s ERC-7857 standard to mint verifiable, composable iNFT agents.
Low-Cost Inference & Storage: Deploys 0G compute and storage to support scalable training, analytics, and execution.
Integrated AI Services: Distributes xNomad Brain via 0G’s service marketplace for seamless access across apps.
xNomad is rethinking what ownership means in AI: where agents can be built, upgraded, and traded like any other asset, but with memory, autonomy, and evolving intelligence. By building on 0G, they are helping define what decentralized, intelligent asset management looks like onchain.
Cove: Wallet-Native AI Agents for Decentralized Trading
Most crypto trading still relies on fragmented tools, siloed liquidity, and centralized infrastructure. Cove is building a decentralized trading network powered by AI agents that act on behalf of users, not intermediaries. Through WalletNet and MEX (My Exchange), users can execute trades directly from their wallets across DEXs, CEXs, and OTC markets, aiming for real-time liquidity optimization, MEV resistance, and zero custody trade-offs.
Core Features
Wallet-Native Trading: Users can access markets directly from their wallets, eliminating the need for a custodial interface.
AI-Driven Execution: Agents analyze sentiment and optimize trade routing across venues.
Unified Liquidity: MEX aggregates depth from CEXs and DEXs while preserving privacy and decentralization.
Why 0G?
Decentralized Compute Backbone: Uses 0G compute to run high-frequency AI agents for execution and sentiment analysis.
Encrypted Market Intelligence: Stores AI-generated insights, trade reports, and market history on 0G Storage.
Fast, Verifiable Execution: Relies on 0G’s DA layer for real-time data access and tamper-proof strategy validation.
Cove is seeking to redefine what trading infrastructure looks like in web3, shifting execution logic from centralized platforms to autonomous agents secured by decentralized compute. With 0G, they’re building toward a world where markets are not only more efficient but also more private, self-custodial, and intelligent by design.
Guild on 0G
Each project in this cohort contributes to a shared vision: a decentralized, composable, and AI-native internet. Whether through autonomous agents, verifiable compute, or persistent memory, they’re helping shape what it means for intelligence to live onchain.
As we continue to develop the AIL, we are seeking founders who are pushing the boundaries of what is possible in modular AI. If you're working on infrastructure, applications, or tools that fit into this new paradigm, we’d love to hear from you.
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