Web3 AI Agents Guide

Nous Research is a leader in the development of human-centric language models and simulators. They focus on model architecture, data synthesis, fine-tuning, and reasoning, aiming to align AI systems with real-world user experiences. Notably, they are working on a 'hunger' mechanism to introduce economic constraints to AI models, teaching agents to prioritize tasks effectively.

Pond is building a decentralized Graph Neural Network (GNN) model for Web 3.0, designed to learn on-chain behaviors and predict future actions. They provide tools for decentralized model creation and training, partnering with @virtuals_io to enhance AI agent capabilities.

Bagel offers privacy-preserving infrastructure using Fully Homomorphic Encryption (FHE) and Trusted Execution Environments (TEEs). Their technology ensures secure and private AI model training and deployment.

Cookie DAO builds a modular data layer for AI agents and Swarm, providing APIs for on-chain and off-chain social data. It offers extensive mindshare indicators, real-time narrative tracking, trend detection, and historical pattern analysis with AI insights.

Vana allows users to tokenize their data and trade it in Data Liquidity Pools (DLPs). It empowers users to own and monetize their data while fueling AI development through decentralized data markets.

Masa is building the largest decentralized AI data network, enabling users to securely and privately share their data. It powers dynamic and adaptive AI agents in collaboration with @virtuals_io, focusing on privacy-preserving data exchange and AI model training.

A decentralized indexing and querying solution for blockchain data, offering up to 100x faster indexing and 90% cost reduction compared to traditional RPC providers. Features a modular architecture with multiple products including SQD Network (distributed query engine), Squid SDK (TypeScript toolkit), SQD Cloud (PaaS), and SQD Firehose (subgraph adapter).

A decentralized data warehouse with sub-second ZK coprocessor for SQL, enabling trustless data processing for smart contracts. Combines comprehensive blockchain indexing with the ability to join onchain and offchain data through their Proof of SQL technology, allowing smart contracts to query complex data with ZK-proven results.

SQD.AI is an AI agent data infrastructure platform designed to support the demands of billions of autonomous AI agents. It provides a decentralized data lake that enables these agents to access and manage data independently. SQD leverages blockchain technology to ensure transparency and security, with its token ($SQD) serving as a means of accessing and rewarding participants in the ecosystem. The platform is designed to scale with the growing need for real-time, high-throughput data in the AI industry.

Ora Protocol is exploring infrastructure for secure AI, focusing on verifiability and trust in decentralized systems. While their tokenomics are still under development, they aim to provide tools for ensuring the integrity of AI agents and their outputs.

Hyperbolic Labs is pioneering Proof-of-Sampling, a novel approach to verify AI computation and inference. This ensures that AI outputs are accurate and generated by the claimed algorithms or models.

Phala Network is known for its Trusted Execution Environment (TEE) infrastructure, which adds a layer of security for decentralized AI. It ensures that AI agents operate independently, securely, and without manipulation.

Marlin is a verifiable computing protocol leveraging TEEs to allow complex workloads (like AI agents/models, DeFi strategies or automation tasks) to be deployed over a decentralized cloud.

A modular network dedicated to verifiable AI, covering the full workflow from inference to execution. Aizel combines TEE & MPC technologies to provide scalable, privacy-preserving AI verification with web2-level performance and costs.

AethirCloud is a decentralized compute network tailored for AI and Web3. It allows anyone with spare resources to join the network, offer their compute power, and earn rewards, addressing the scalability and cost issues of traditional cloud services.

io.net delivers scalable compute solutions for AI workloads, enabling efficient and cost-effective access to computational resources. It focuses on meeting the growing demands of AI by leveraging decentralized infrastructure.

GAIB AI introduces GPU-backed debt financing models to help data centers finance and scale their operations. This innovative approach opens up decentralized compute to a broader audience by addressing financial barriers.

Agents may utilize this API for private, uncensored inference (text, image, code).

iGam3 is a decentralized edge network designed to power AI agents by leveraging Zero-Knowledge (ZK) technology to ensure privacy and security. Built on blockchain infrastructure, it integrates AI processing with Decentralized Physical Infrastructure Networks (DePIN) to enable scalable, decentralized AI solutions. One of the core layers to this network, iGam3, aims to democratize access to AI and empower individuals and small groups to drive innovation.

AON is an open platform designed to empower anyone to create, deploy, and monetize AI Agents.