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Structured definitions and metadata schemas for specifying environment requirements and operational parameters for agent skills.
Distinguishing note: Focuses on the static definition and metadata of skills rather than their runtime orchestration.
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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
Agent framework enables specification of skill behavior and requirements using structured metadata files for environment variables and system dependencies.