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In this video, learn how to use Coinbase AgentKit to create a Twitter/X AI agent that can perform various blockchain operations, like sending tokens to an address.
Written version: https://qn.social/QNGuide-coinbaseai
Code used in the video: https://qn.social/QNCode-coinbaseai
Get your Coinbase (CDP) API keys: https://qn.social/QNCDP-coinbaseai
Get your Twitter/X API keys: https://qn.social/QNDX-coinbaseai
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Checkout Coinbase AI AgentKit: https://qn.social/QNWebsite-coinbaseai
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00:00 Introduction
00:15 Components of AI Agent
02:04 Installing Coinbase AI AgentKit Addon
03:37 Getting the Coinbase Developer Platform API keys
04:13 Getting Twitter API keys
06:00 Understanding the Twitter AI Agent Code
11:47 Running our Twitter AI Agent
14:17 Outro
date : 2025-02-14 18:47:57
views : 677
likes : 14
rating :
How to Create a Web3 AI Agent with Coinbase AgentKit
In this video, Quick Note’s web3 DeFi tech editor demonstrates how to create a Twitter AI agent using Coinbase AgentKit. The agent will be capable of performing tasks such as deploying smart contracts, executing transactions, and retrieving data from the blockchain. The AI agent will be integrated with Twitter’s API, allowing it to interact with users and respond to their requests.
The video explains the components of the AI agent, including blockchain operations, user interaction, and AI decision-making. The blockchain operations component will handle requests sent by the user, such as deploying smart contracts or executing transactions. The user interaction component will enable the agent to interact with the user on Twitter, while the AI decision-making component will use natural language processing to determine the user’s intentions and respond accordingly.
The video also provides a step-by-step guide on how to set up the AI agent, including installing the Coinbase AgentKit add-on and configuring environment variables. The agent will require a Coinbase developer platform API key, private key, and Twitter credentials to function.
The video concludes with a demonstration of the AI agent in action, showcasing its capabilities and potential applications in the web3 space. The accompanying codebase provides a sample implementation of the AI agent, allowing viewers to replicate the project and explore its potential applications in their own projects.
