Meet Connery: An Open-Source Plugin Infrastructure for OpenGPTs and LLM apps

Connery is an open-source framework designed to facilitate the integration of third-party services into language model-based applications through a plugin infrastructure. Developed by Michael Liebmann and Volodymyr Machula, Connery aims to address common challenges faced in integrating large language model (LLM) applications with real-world tasks, such as personalization, security, and unpredictability. This system allows developers to create and share plugins that can be easily integrated into LLM-powered apps like chatbots or virtual assistants, enhancing their functionality by enabling them to perform real-world operations. Connery offers a user-friendly interface for managing connections and personalizations, while ensuring safety and control through features like metadata, human-in-the-loop capabilities, and audit logs. By fostering an open-source community, Connery encourages collaboration and innovation, providing developers with the tools to build a decentralized ecosystem of plugins, contributing to the evolution of LLM applications in practical settings.

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