DAGent
An open-source Python library for creating AI agents structured as Directed Acyclic Graphs (DAGs) to manage decision-making tasks and function executions.
DAGent
An open-source Python library for creating AI agents structured as Directed Acyclic Graphs (DAGs) to manage decision-making tasks and function executions.
DAGent
SKU: dagent
DAGent is an open-source Python framework designed to facilitate the rapid development of AI agents by structuring them into workflows using Directed Acyclic Graphs (DAGs). This approach allows each function to be set up as a node within a graph, enabling complex, multi-step workflows and decision-making processes. By organizing activities and choices in a DAG format, developers can create adaptive and efficient AI agents capable of handling intricate tasks with enhanced reliability and fault tolerance.
Developing AI agents with complex, multi-step workflows.
Implementing decision-making processes in AI applications.
Creating adaptive and efficient AI solutions for various tasks.
Enhancing AI agents with structured function executions.
DAGent's architecture as a Directed Acyclic Graph (DAG) framework enables high autonomy by design. Its node-based structure allows automated multi-step workflows where each function (node) executes independently based on predefined dependencies or LLM-driven decisions. The system supports dynamic task routing, error handling through retries or fallback paths, and parallel execution of non-dependent nodes. While human input may be required for initial graph configuration or critical decision thresholds, the agent autonomously manages task sequencing, data flow, and error recovery during runtime.
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