Fetch.ai(FET)

Fetch.ai is a blockchain and AI infrastructure project building autonomous software agents — programs that can act, negotiate, and execute tasks on behalf of users without constant supervision.

Instead of using apps that require step-by-step manual input, you deploy an AI agent that understands your goal and handles the steps itself. A Fetch.ai agent might monitor prices and execute a DeFi (decentralised finance) trade when conditions are met, book a service, or coordinate with other agents to complete a multi-step task.

Think of it like hiring a capable assistant versus using a self-service kiosk. The kiosk requires you to follow each step; the assistant understands the goal and figures out the steps.

Fetch.ai has been developing this infrastructure since 2017, making it one of the longer-running AI-plus-crypto projects. Its Agentverse platform is where agents are deployed and can be discovered or contracted by other agents.

FET is the utility token used to pay for agent computation, staking, and governance. In 2024, Fetch.ai merged into the Artificial Superintelligence Alliance alongside SingularityNET and Ocean Protocol.

Fetch.ai Introduction#

Fetch.ai is a decentralized AI platform. Fetch.ai is a decentralized blockchain-based project that introduces Autonomous Economic Agents (AEAs) to enable a more decentralized digital economy. These agents are designed to operate independently, interact with other agents and services, and generate economic value for their owners through the use of distributed ledger technologies (DLT). By integrating blockchain technology with multi-agent systems, Fetch.ai aims to create a platform where autonomous agents can perform tasks, negotiate, and execute financial transactions without human intervention, thereby facilitating more efficient and scalable solutions in various industries.

Part 1: Fetch.ai Whitepaper Review#

Disclosure: This part is strictly limited to an overview of the whitepaper and maintains an objective tone. Neither external knowledge nor comparisons with other cryptocurrencies are expected (unless introduced in the whitepaper). "Part 2" of this explanation will provide a more relatable explanation considering the external knowledge.

• Author: David Minarsch, Marco Favorito, Seyed Ali Hosseini, Yuri Turchenkov, Jonathan Ward
• Type: Technical
• Tone: Objective
• Publication date: Not specified

Description: What Does Fetch.ai Do?#

Fetch.ai is designed to provide a decentralized framework for deploying Autonomous Economic Agents (AEAs). These agents operate autonomously on behalf of their owners to generate economic value by interacting with other agents and services within a structured and secure environment. Fetch.ai leverages distributed ledger technologies to facilitate these interactions and ensure secure, trustless financial transactions and commitments.

The project is built on a modular, actor-like framework that allows for the creation of highly customizable agents. This framework includes various components such as Skills, Protocols, Connections, and Contracts, which can be developed and extended by third-party developers to meet specific business needs. The framework enables agents to communicate, transact, and execute smart contracts on supported ledgers like Ethereum and Cosmos.

Problem: Why Fetch.ai Is Being Developed?#

Fetch.ai addresses the problem of centralized digital services and the inefficiencies they bring. The current web architecture favors centralization, leading to monopolistic platforms that control economic and data flows. This centralized control limits competition and innovation, creating an asymmetry between service providers and users.

Existing multi-agent and agent architectures have not seen significant adoption due to their complexity and lack of integration with modern technologies. Fetch.ai aims to overcome these limitations by providing a framework that is both modular and easy to use, allowing for the deployment of decentralized, autonomous agents that can operate in a trustless environment facilitated by DLT.

Use Cases#

• Trading Agent Competition: Agents autonomously negotiate and execute trades in a simulated exchange economy.
• Autonomous Supply Chain: Agents manage and optimize supply chain operations for perishable goods using IoT and MAS technologies.
• Agent Worlds: Agents participate in competitions by selling public data and executing transactions on the blockchain.

How Does Fetch.ai Work?#

Fetch.ai operates through a modular framework that includes several core components:

• Skills: These are the primary business logic modules that handle CPU-bound tasks.
• Protocols: These manage messages and dialogue rules for agent communication.
• Connections: These handle networking-related logic and translations between AEA and third-party protocols.
• Contracts: These are wrappers for smart contract logic on supported ledgers.

The operation of Fetch.ai can be broken down into the following steps:

1. Initialization: The AEA is initialized with its core components, including Resources, Runtime, and Wallet.
2. Communication Setup: Connections are established to enable communication with other AEAs and external services.
3. Message Handling: The Multiplexer receives messages and routes them to the appropriate handlers within the Skills.
4. Task Execution: The AgentLoop periodically executes tasks defined in the Skills and processes incoming messages.
5. Transaction Execution: The DecisionMaker within the AEA makes economically relevant decisions and signs transactions using the Wallet.
6. Interaction: The AEA interacts with other agents and services, performing actions based on predefined behaviors and protocols.

Technical Details#

Fetch.ai utilizes a distributed ledger technology to enable secure and trustless interactions between AEAs. The framework is implemented in Python but can be adapted to other object-oriented programming languages that support asynchronous programming.

• Blockchain Integration: Fetch.ai supports integration with Ethereum and Cosmos blockchains.
• Consensus Mechanism: Not specified.
• Innovations: The framework's modularity and ability to dynamically add packages at runtime distinguish Fetch.ai from other agent frameworks.

The framework includes several novel technologies:

• Crypto APIs: Manage DLT identities and sign transactions.
• Ledger APIs: Interact with supported ledgers to execute transactions.
• Package Hashing: Ensures the integrity of packages using IPFS multi-hashes.

Fetch.ai Tokenomics: Token Utility & Distribution#

The whitepaper does not specify the tokenomics in detail. However, it is implied that tokens are used within the ecosystem for staking, transactions, and incentivizing agent behaviors.

Key Fetch.ai Characteristics#

Fetch.ai aligns with several core blockchain characteristics:

• Decentralization: Facilitates decentralized interactions between AEAs and services.
• Anonymity and Privacy: Not specified.
• Security: Utilizes cryptographic methods and DLT for secure transactions.
• Transparency: Ensures transparent interactions and transactions through blockchain integration.
• Immutability: Transactions and commitments on the ledger are immutable.
• Scalability: Designed to handle high message throughput and multiple agents.
• Supply Control: Not specified.
• Interoperability: Supports integration with multiple blockchains and external services.

Glossary#

• Key Terms: Autonomous Economic Agents, Distributed Ledger Technology, Smart Contracts, Skills, Protocols, Connections, Contracts, Multiplexer, AgentLoop, DecisionMaker, Wallet, Ledger APIs, Crypto APIs.
• Other Terms: Asynchronous Programming, IPFS, Ethereum, Cosmos, Python, Modular Framework, Actor-like Design, Message Passing, Inversion of Control, TaskManager.

Part 2: Fetch.ai Analysis, Explanation, and Examples#

Disclosure: This part may involve biased conclusions, external facts, and vague statements because it assumes not only the whitepaper but also the external knowledge. It maintains a conversational tone. Its purpose is to broaden understanding outside of the whitepaper and connect more dots by using examples, comparisons, and conclusions. We encourage you to confirm this information using the whitepaper or the project's official sources.

Fetch.ai Whitepaper Analysis#

The Fetch.ai whitepaper provides a comprehensive overview of the project's goals, architecture, and use cases. It is clear that the authors have put significant effort into designing a modular and extensible framework that leverages the benefits of distributed ledger technology. The whitepaper is well-structured and provides detailed explanations of the technical components and their interactions.

However, the document does not specify certain important details, such as the consensus mechanism used by the Fetch.ai blockchain or the tokenomics of the project. These omissions could be seen as gaps that need to be addressed for a more complete understanding of the project's economic model and its implications.

What Fetch.ai Is Like?#

Non-crypto examples:

• Uber: Similar to how Uber connects drivers and passengers autonomously, Fetch.ai connects AEAs to perform tasks and transactions autonomously.
• Amazon Web Services (AWS): Like AWS provides scalable cloud services, Fetch.ai offers a scalable framework for deploying autonomous agents.

Crypto examples:

• Ethereum: Both platforms support smart contracts and decentralized applications, but Fetch.ai focuses on autonomous agents.
• IOTA: Both projects aim to facilitate machine-to-machine communication and transactions, but Fetch.ai uses AEAs for this purpose.

Fetch.ai Unique Features & Key Concepts#

• Autonomous Agents: Fetch.ai's AEAs operate independently to perform tasks and generate economic value.
• Modular Framework: The framework is highly customizable and allows for the addition of new packages at runtime.
• Blockchain Integration: Fetch.ai integrates with Ethereum and Cosmos for secure transactions and smart contract execution.
• Economic Transactions: AEAs can perform financial transactions and make commitments using DLT.
• Interoperability: The platform supports integration with various blockchains and external services.
• Real-World Use Cases: Demonstrated applications include trading competitions, supply chain management, and data selling.

Critical Analysis & Red Flags#

One potential challenge for Fetch.ai is the complexity of developing and deploying AEAs. While the framework is designed to be modular and extensible, it may still require significant technical expertise to use effectively. Additionally, the lack of detailed information on tokenomics and the consensus mechanism raises questions about the project's economic viability and security.

Another red flag is the whitepaper's omission of certain details, such as the publication date and the specific consensus mechanism used. These omissions could indicate a lack of transparency or an incomplete project plan, which may concern potential investors or users.

Fetch.ai Updates and Progress Since Whitepaper Release#

• Agent Worlds Competitions: Demonstrated the production readiness of AEAs in public competitions.
• Integration with Ethereum and Cosmos: Expanded the platform's interoperability and blockchain support.
• Development of New Use Cases: Continued expansion into various industries, including supply chain management and financial trading.

FAQs#

• What is an Autonomous Economic Agent (AEA)? An AEA is an intelligent agent that operates autonomously on behalf of its owner to generate economic value through interactions and transactions.

• How do AEAs communicate with each other? AEAs use a protocol framework for structured message-based interactions and a peer-to-peer communication system for message delivery.

• What blockchains does Fetch.ai support? Fetch.ai supports Ethereum, Cosmos, and other compatible ledgers.

• What are Skills in Fetch.ai? Skills are modules that implement the business logic of an agent, handling tasks and interactions within the framework.

• How does Fetch.ai ensure the integrity of agent packages? The framework uses IPFS multi-hashes to verify the integrity of packages at runtime.

Takeaways#

• Fetch.ai introduces Autonomous Economic Agents that operate independently to perform tasks and generate economic value.
• The platform leverages distributed ledger technology to facilitate secure and trustless interactions and transactions.
• Fetch.ai's modular framework allows for the creation and deployment of highly customizable agents.
• Integration with blockchains like Ethereum and Cosmos ensures secure transactions and smart contract execution.
• Real-world use cases demonstrate the platform's versatility and potential in various industries.

What's next?#

For readers interested in learning more about Fetch.ai, exploring the project's official documentation and GitHub repository is a good starting point. Engaging with the community through forums and social media can also provide additional insights and updates on the project's progress.

We encourage readers to share their opinions and questions about Fetch.ai in the discussion section to foster a collaborative learning environment.

Metadata#

• Description: Fetch.ai introduces Autonomous Economic Agents that utilize blockchain technology to perform tasks and generate economic value autonomously.
• Categories: Blockchain, Smart Contract, Distributed Computing.
• Industries: Finance, Supply Chain, IoT, AI.

Explore The Competition#

See how other projects compare in solving similar problems:

• Hedera Hashgraph provides a trusted distributed ledger environment beyond blockchain.
• VeChain is a blockchain enhancing supply chain management and mass adoption.

See Other Notable Projects#

Explore other projects that push the boundaries of blockchain technology:

• IOTA utilizes a directed acyclic graph for Internet-of-Things transactions.
• Holochain emphasizes agent-centric architecture for a scalable, user-empowered ecosystem.