Fetch.ai Developer Walkthrough (AI Agent Products)

This paragraph introduces the audience to Fetch AI's video technical guide aimed at developers, hackers, and entrepreneurs. It highlights Fetch AI's mission to build an advanced AI system that connects agents, APIs, and databases to solve tasks dynamically. The speaker, Josh, a software engineer, outlines Fetch AI's four core products: the AI engine (best showcased by Delta V), Agentverse (a platform for building and running AI agents), the microagents library (a Python library for creating agents), and the blockchain product (supporting the almanac contract for messaging fees). The AI engine's ability to execute tasks using the power of LLMs and AI agents is emphasized, as well as the importance of the service feature in Agentverse for agent discovery and task execution.

The second paragraph delves into the Agentverse platform, where users can build and deploy AI agents. It explains how agents can be registered as services to be discovered by the AI engine. The speaker demonstrates creating a new agent that fetches BTC price data from an API every 10 seconds. The paragraph also introduces the microagents library, an open-source Python library for building AI engine-compatible agents. A quick demo is provided, showing how to install the library and create a simple agent named Alice that logs a message every two seconds. The importance of the agent's address for communication within a local setting is also discussed.

This paragraph focuses on how agents communicate with each other and the role of the blockchain in Fetch AI's ecosystem. The speaker creates a new agent named Bob that sends a message to Alice every four seconds. The process of updating Alice's script to respond to messages is demonstrated. The blockchain product is introduced as supporting the almanac contract for messaging fees, with the AMAC contract serving as a ledger of registered agents. The speaker also explains how to define tasks and service groups in Delta V, using the example of a dice roll for a board game called Settlers of Tartan.

The fourth paragraph explains the process of creating tasks and defining services in Agentverse. It details how the Settlers of Tartan task is set up to require a dice roll, which is then fulfilled by another service. The importance of specifying the protocol and response type for the AI engine to understand and work with the agent is emphasized. The paragraph also discusses how services can be created based on agent addresses and how the AI engine uses the information provided in the field description to execute tasks and return results.

The final paragraph provides guidance on where to find information for building projects with Fetch AI. It highlights the guides available for AI agents, Agentverse, Delta V, and the blockchain layer. The speaker encourages users to explore the tutorials and examples provided on the Fetch AI documentation website. The paragraph concludes with a reminder that the Fetch AI community, particularly the Discord channel, is a valuable resource for help and support.