Harny is a platform designed to enhance AI applications by providing contextual awareness about end users through integration with various data sources. The tool enables developers to connect the data sources their users already utilize, allowing Harny to automatically extract and organize relevant information without requiring code. This results in AI responses that are personalized, aiming to make users feel understood by the AI.
Developers can integrate Harny into their applications using a REST API or a Python SDK, with example code provided for both methods. The platform supports rapid integration, with the ability to assemble context for queries such as retrieving user-specific information. Harny emphasizes data privacy and control, stating that user data can be deleted at any time, app-level isolation prevents data leakage between apps, and API keys can be rotated as needed.
Pricing includes a free tier that allows up to 500 end-users and three apps, with context limited by constraints. For larger teams or more advanced needs, a custom Pro plan is available that supports unlimited end-users, unlimited apps, and access to the full context pipeline. The service is positioned for developers seeking to add contextual, personalized AI capabilities to their applications without manual data integration.
In the AI & ML space, Harny takes a focused approach. Enabling developers to provide AI systems with personalized user context by connecting disparate data sources. It is built as a B2B product for developers building ai apps. It runs on the command line and API.
Harny first shipped in 2026. Key capabilities include data source integration, Personalized AI responses, and REST API. It exposes integrations via a public API.
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