Injective launches new toolkit for building on-chain AI agents

Key Takeaways

Injective launched iAgent, an SDK enabling AI-powered blockchain transactions with natural language commands.
The toolkit integrates with OpenAI models for tasks like trade execution and wallet checking on the Injective network.

Injective has launched iAgent, a cutting-edge software development kit (SDK) that allows users to create on-chain AI agents capable of automating blockchain tasks using natural language commands.

The SDK integrates with OpenAI’s large language models to facilitate tasks like instant payments on the Injective network, order placement across decentralized exchanges, and wallet balance checks through AI-driven commands.

AI agents are quickly becoming the new meta in crypto, with developers and companies actively building around this narrative.

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For example, the AI-focused venture capital fund ai16z and Virtuals Protocol are pushing this narrative forward.

These projects are particularly interested in enabling AI agents to interact with wallets and perform on-chain transactions, which enhances their ability to make autonomous decisions.

The industry anticipates a bullish 2025, driven by Donald Trump’s pro-crypto stance following his January inauguration.

This is expected to boost the narrative around AI agents, positioning them as a key blockchain innovation.

The growing momentum around AI agents aligns perfectly with Injective’s latest toolkit, iAgent.

Its key features include real-time market data analysis, predictive analytics for trend forecasting, automated trade execution, and natural language processing for user inputs.

The toolkit also ensures transparent transaction tracking with details like hash codes and block heights, making it a comprehensive solution for AI-driven blockchain interactions.

The system allows users to create multiple automated agents, each configurable for different purposes such as market monitoring or trade execution.

Commands can be issued in plain language, making the platform accessible to users without technical expertise.