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Mechanisms for maintaining long-term memory and interaction history in external storage systems.
Distinguishing note: Focuses on the persistence layer for agentic state rather than general database operations.
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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
Maintains long-term memory by storing interaction history and agent state in external databases between execution steps.