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Middleware that abstracts vendor-specific AI interfaces to dynamically dispatch tasks to various language, vision, or audio models.
Distinguishing note: Focuses on the abstraction and routing layer rather than the models themselves.
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This project is an autonomous agent framework designed to integrate large language models with popular messaging platforms. It functions as a middleware platform that enables automated, multimodal interactions by decomposing complex user goals into sequential plans, executing them through external tools, and maintaining persistent context across sessions. The framework distinguishes itself through a modular skill architecture and a hybrid memory system. Users can extend system capabilities by installing custom logic modules from community hubs or generating them through natural language. The
Decouples the application logic from specific AI providers by dynamically dispatching requests to configured text, vision, or audio models.