Here’s a comprehensive guide to the AI crypto agents you listed, including their core functions, use cases, and key features. This guide is based on publicly available information and the descriptions provided in your query.

1. Phala Network (PHA)

Overview:
Phala Network is a decentralized computing platform that leverages Trusted Execution Environments (TEEs) to enable privacy-preserving AI and data processing. It allows users to securely outsource computation tasks (e.g., AI model training, data analysis) to a distributed network of nodes while ensuring data confidentiality and integrity.

Key Features:

• TEE-based Privacy: Uses Intel SGX and other TEEs to isolate sensitive computations from the host machine.
• Decentralized Infrastructure: Nodes (called "miners") contribute computing power to the network, earning PHA tokens.
• AI & Data Processing: Supports tasks like machine learning model training, encrypted data analysis, and secure smart contracts.
• Scalability: Designed to handle large-scale computations with a focus on enterprise and developer use cases.

Use Cases:

• Secure AI model training for businesses without exposing proprietary data.
• Privacy-focused data analytics for healthcare, finance, or IoT.
• Decentralized cloud computing for developers and enterprises.

Token (PHA):

• PHA is used for staking, governance, and paying for computation services on the network.
• Total supply: 10 billion PHA.

Website: https://phala.network

2. SingularityNET (AGIX)

Overview:
SingularityNET is a decentralized AI marketplace that connects AI developers, service providers, and users. It aims to democratize AI by enabling collaboration, sharing, and monetization of AI models and services across a blockchain-based network.

Key Features:

• AI Marketplace: A platform where AI services (e.g., image recognition, NLP, robotics) can be bought, sold, or shared.
• Decentralized Governance: AGIX token holders can vote on platform upgrades and AI service standards.
• Interoperability: Integrates with other blockchains (e.g., Ethereum, Polkadot) to expand AI service reach.
• Open-Source Ecosystem: Encourages developers to contribute AI models and tools.

Use Cases:

• Developers can monetize AI models by listing them on the marketplace.
• Enterprises can access a global pool of AI services for tasks like customer support, data analysis, or automation.
• Researchers can collaborate on AI projects using shared datasets and models.

Token (AGIX):

• AGIX is used for transactions, service payments, and governance.
• Total supply: 10 billion AGIX.

Website: https://singularitynet.io

3. Artificial Liquid Intelligence (ALI)

Overview:
ALI focuses on AI-driven liquidity solutions for DeFi (Decentralized Finance). It uses machine learning algorithms to optimize liquidity provision, reduce slippage, and enhance yield generation for decentralized protocols.

Key Features:

• Liquidity Algorithms: AI models analyze market data to dynamically adjust liquidity pools for maximum efficiency.
• DeFi Integration: Works with AMMs (Automated Market Makers), lending platforms, and yield farming protocols.
• Risk Mitigation: Predicts market volatility and adjusts strategies to minimize impermanent loss.
• Tokenomics: ALI token is used for governance, staking, and accessing premium AI tools.

Use Cases:

• Automating liquidity provision for DeFi platforms.
• Enhancing yield farming strategies with predictive analytics.
• Reducing slippage in decentralized exchanges (DEXs).

Token (ALI):

• ALI token incentivizes liquidity providers and rewards users for contributing data or computational resources.
• Total supply: 100 million ALI.

Website: https://artificialliquidintelligence.com

4. Oraichain (ORAI)

Overview:
Oraichain is a blockchain for AI data and decentralized AI networks. It provides a platform for AI developers to access high-quality data and deploy AI models in a trustless environment.

Key Features:

• AI Data Marketplace: Users can buy/sell datasets, ensuring data quality through on-chain verification.
• Decentralized AI Oracles: Bridges AI models with blockchain smart contracts for real-world data integration.
• Scalable Infrastructure: Built on a high-performance blockchain (EVM-compatible) to support AI applications.
• Community Governance: ORAI token holders govern the platform and validate data/model quality.

Use Cases:

• Training AI models with verified datasets.
• Integrating AI predictions into DeFi, insurance, or supply chain smart contracts.
• Decentralized AI model hosting and execution.

Token (ORAI):

• ORAI is used for staking, governance, and accessing AI services.
• Total supply: 100 million ORAI.

Website: https://oraichain.com

5. Solidus AI Tech (AITECH)

Overview:
Solidus AI Tech combines AI and blockchain to provide enterprise-grade solutions for industries like finance, healthcare, and logistics. It focuses on automating workflows, enhancing data security, and improving decision-making.

Key Features:

• AI-Driven Automation: Uses machine learning for predictive analytics and process optimization.
• Blockchain Security: Ensures tamper-proof data storage and secure transactions.
• Customizable Solutions: Tailored AI tools for enterprise use cases (e.g., fraud detection, supply chain tracking).
• Cross-Industry Applications: Targets finance, healthcare, IoT, and other sectors.

Use Cases:

• Automating financial risk assessments with AI.
• Securing patient data in healthcare using blockchain.
• Optimizing logistics with AI-powered route planning.

Token (AITECH):

• AITECH token is used for accessing AI tools, paying for services, and governance.
• Total supply: 100 million AITECH.

Website: https://solidus.ai

6. BankrCoin (BNKR)

Overview:
BankrCoin is a project that leverages AI for financial and blockchain applications. It aims to provide tools for fraud detection, credit scoring, and automated trading using AI algorithms.

Key Features:

• AI Fraud Detection: Analyzes transaction patterns to identify suspicious activity.
• Credit Scoring: Uses machine learning to assess creditworthiness for DeFi lending.
• Automated Trading: AI-driven bots for crypto and traditional financial markets.
• Blockchain Integration: Combines AI with smart contracts for transparent financial systems.

Use Cases:

• Enhancing security in DeFi platforms.
• Providing AI-based credit ratings for unbanked populations.
• Automating trading strategies for retail and institutional investors.

Token (BNKR):

• BNKR token is used for accessing AI tools, staking, and governance.
• Total supply: 100 million BNKR.

Website: https://bankrcoin.com

7. Autonolas (OLAS)

Overview:
Autonolas is a decentralized autonomous systems platform that uses AI protocols to enable self-governing agents. It focuses on creating autonomous systems for IoT, robotics, and smart contracts.

Key Features:

• Autonomous Agents: AI-driven bots that execute tasks (e.g., data analysis, resource allocation) without human intervention.
• IoT Integration: Connects AI with IoT devices for real-time decision-making.
• Decentralized Governance: OLAS token holders manage the platform and validate agent actions.
• Scalable Infrastructure: Designed for large-scale autonomous systems.

Use Cases:

• Automating IoT networks for smart cities or agriculture.
• Deploying AI agents for supply chain management.
• Creating self-executing smart contracts for DeFi or DAOs.

Token (OLAS):

• OLAS token is used for staking, governance, and rewarding autonomous agents.
• Total supply: 100 million OLAS.

Website: https://autonolas.com

8. Humans.ai (HEART)

Overview:
Humans.ai is a platform for AI talent and decentralized workforce. It connects AI developers, researchers, and enterprises to collaborate on projects while rewarding participants with HEART tokens.

Key Features:

• AI Talent Marketplace: Users can offer AI skills (e.g., model development, data labeling) and earn tokens.
• Decentralized Workforce: Employs a global network of contributors for AI projects.
• AI Model Training: Uses crowdsourced data and human input to improve AI models.
• Governance & Rewards: HEART token holders govern the platform and earn rewards for contributions.

Use Cases:

• Crowdsourcing AI model training data.
• Hiring AI developers for decentralized projects.
• Rewarding users for participating in AI research.

Token (HEART):

• HEART token is used for governance, staking, and accessing AI tools.
• Total supply: 100 million HEART.

Website: https://humans.ai

9. TARS Protocol (TAI)

Overview:
TARS Protocol is an AI-driven toolset for blockchain and smart contracts. It focuses on automating smart contract audits, optimizing DeFi protocols, and enhancing blockchain security.

Key Features:

• Smart Contract Auditing: AI tools analyze code for vulnerabilities and bugs.
• DeFi Optimization: Uses machine learning to improve yield farming and liquidity strategies.
• Security Enhancements: AI detects and mitigates risks in blockchain ecosystems.
• Developer-Friendly: Integrates with Ethereum and other blockchains.

Use Cases:

• Automating security audits for DeFi projects.
• Optimizing liquidity pools for DEXs.
• Enhancing transparency in blockchain governance.

Token (TAI):

• TAI token is used for accessing AI tools, staking, and governance.
• Total supply: 100 million TAI.

Website: https://tarsprotocol.com

10. Fetch.ai (FET)

Overview:
Fetch.ai is a decentralized AI and machine learning network for autonomous agents. It enables AI-driven automation for tasks like logistics, ride-sharing, and data marketplaces.

Key Features:

• Autonomous Agents: AI-powered agents negotiate, trade, and execute tasks (e.g., optimizing delivery routes).
• Machine-to-Machine Economy: Facilitates AI-driven transactions between devices and systems.
• Scalable AI Infrastructure: Built on a high-performance blockchain for real-time AI applications.
• Privacy & Security: Uses zero-knowledge proofs and TEEs to protect data.

Use Cases:

• Automating supply chain logistics with AI.
• Creating decentralized ride-sharing platforms.
• Enabling AI-driven data marketplaces for IoT and analytics.

Token (FET):

• FET token is used for transactions, staking, and governance.
• Total supply: 10 billion FET.

Website: https://fetch.ai

Summary Table

Project Token Core Focus Key Use Cases Website Phala Network PHA Privacy-preserving AI computation Secure data processing, enterprise AI phala.network SingularityNET AGIX Decentralized AI marketplace AI service trading, collaboration singularitynet.io Artificial Liquid Intelligence ALI DeFi liquidity optimization Yield farming, AMM efficiency artificialliquidintelligence.com Oraichain ORAI AI data and model marketplace Data verification, AI oracles oraichain.com Solidus AI Tech AITECH Enterprise AI & blockchain solutions Finance, healthcare, logistics automation solidus.ai BankrCoin BNKR Financial AI tools Fraud detection, credit scoring, trading bankrcoin.com Autonolas OLAS Autonomous systems protocols IoT, robotics, smart contracts autonolas.com Humans.ai HEART AI talent and workforce platform Crowdsourced AI development, research humans.ai TARS Protocol TAI AI for blockchain security Smart contract audits, DeFi optimization tarsprotocol.com Fetch.ai FET Autonomous agents for AI tasks Logistics, ride-sharing, data marketplaces fetch.ai

Notes

• Privacy & Security: Projects like Phala and Fetch.ai emphasize secure computation and data handling.
• DeFi Integration: ALI, Oraichain, and TARS Protocol focus on improving DeFi efficiency and trust.
• AI Marketplace: SingularityNET and Humans.ai prioritize decentralized collaboration and talent.
• Enterprise Solutions: Solidus AI Tech and BankrCoin target industries with scalable AI-blockchain tools.

For the most accurate and up-to-date information, always refer to the official websites and whitepapers of each project. Let me know if you’d like deeper insights into any specific project!