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Architectures that connect large language models to external data and function execution environments.
Distinguishing note: Focuses on the reasoning architecture and tool-use capability rather than general orchestration.
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This project is an agentic workflow orchestrator designed for building and deploying autonomous systems that perform multi-step reasoning. It functions as a tool-augmented engine, enabling developers to chain model calls with external function execution to complete complex, user-defined tasks. By integrating large language models with persistent memory and stateful logic, the framework supports the creation of intelligent applications capable of independent operation. The platform distinguishes itself through graph-based state orchestration, which allows developers to define logic steps and t
Enhances model performance by connecting large language models to external data sources and precise function execution environments.