Fetch.ai’s AI agent framework continues to be at the forefront of multi-model agent development, allowing developers to unlock new potentials and revolutionize how we think of artificial intelligence. Last month, we announced the arrival of our first integrations on the theme of holiday planning. The Fetch.ai community took note of that, and it has inspired more developers to expand the agent framework’s utility. Today, we're excited to share that one of our community devs has built new integrations for EV charging and car parking.
We want to express our appreciation to Laxmikant Tripathi for these useful integrations. They exemplify our commitment to creating smarter cities and contributing to a more sustainable and efficient urban landscape. We hope that these integrations will inspire more community developers to build more impactful applications and open up new possibilities.
Let’s explore the new mobility integrations.
Harnessing the power of the OpenChargeMap API, the AI Agent framework presents an efficient way to locate EV chargers in your vicinity. You can now build applications that not only find the closest EV charging points but also provide details like type of connector, usage cost, and more. This integration makes it easier for EV drivers to plan their routes and ensure they always have access to charging infrastructure. The following is the demo script:
Parking in busy cities is a huge hassle. With the integration of the Geoapify Car Parking API, the AI agent framework makes this task a breeze. Users can now easily find parking spots based on their preferences. These may include proximity or capacity. Utilizing this tool, drivers can cut down the time they traditionally spend hunting for parking, which helps alleviate road congestion. If you’re interested in understanding how it works, you can check out the hands-on demo script right here:
We’re thrilled that the Fetch.ai community has started exploring the transformative power of AI agent technology. You can show your appreciation to Laxmikant by visiting his repository and giving him a star for his brilliant work.
AI agents are continuously evolving. Dive into our AI agent documentation to embark on this fascinating journey. For those willing to delve deeper, our docs provide insights into the world of agent development.
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