Injective Launches iAgent SDK for Onchain AI Trading and Data Tools

The iAgent SDK leverages advanced AI models, including OpenAI’s ChatGPT, to execute various Injective-based tasks using natural language commands.

Injective, a Layer 1 blockchain built on Cosmos, has announced the launch of the iAgent Software Development Kit (SDK). This tool empowers users to create their own on-chain artificial intelligence (AI) agents, seamlessly merging AI technology with blockchain.

Injective iAgent SDK for Onchain AI Trading and Data Tools

The iAgent SDK seamlessly integrates with advanced AI models, such as OpenAI's ChatGPT, enabling users to execute various Injective-based tasks through natural language commands. Multiple independent agents can be created and tailored to specific goals. For instance, one agent can be dedicated to monitoring market data while another handles executing trades, streamlining activities for both developers and traders.

“iAgent is an AI-powered tool designed to simplify blockchain interactions on Injective, enabling users to send payments, manage funds, and more,” stated Injective in a recent announcement on its social media platform.

This tool aims to reduce the complexity of blockchain interactions, particularly for users without technical expertise, by offering an intuitive way to command agents in plain English. This development comes as Google faced backlash recently after its AI chatbot reportedly told a student to “please die,” sparking concerns regarding the safety of the technology.

Customization and Automation

The iAgent SDK provides the capability to configure agents with unique parameters and manage them independently. These agents can be tasked with performing a wide range of functions, including predictive analytics, trade automation, and fund management.

By seamlessly integrating AI into their workflows, users can unlock advanced capabilities that were previously limited to highly technical or manual processes. Users can effortlessly deploy commands like “track the price of INJ” or “buy INJ if it hits $24.50” to automate their trading strategies.

Furthermore, the software integrates machine learning features to project potential market outcomes, further enhancing its utility for decentralized finance (DeFi) applications.

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