Deploying AI Agents at the Edge with Harper

Production AI systems are increasingly being integrated into applications, with Harper offering a platform that facilitates edge deployment of AI, combining database, cache, messaging, and application functions into a unified runtime. This approach minimizes latency, enhances responsiveness, and enables real-time user interaction by positioning AI models close to decision points, thereby improving user experiences and engagement. Harper supports a continuous learning cycle by capturing user interactions as feedback for model improvement, allowing AI agents to evolve and adapt over time. Developers can deploy pre-trained models into Harper with ease, leveraging its seamless integration with existing systems without the complexity of managing separate infrastructures. The platform is demonstrated through a GitHub project featuring a fictional e-commerce company, highlighting how AI agents can be hosted and continuously improved, ensuring applications remain fast, resilient, and capable of self-updating to meet user needs.

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