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Awesome GitHub RepositoriesAgentic Reasoning Loops
Orchestration patterns for iterative execution where models call tools and refine answers until completion.
Distinguishing note: Focuses on the control flow of multi-step agentic reasoning rather than simple request-response cycles.
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Awesome Agentic Reasoning Loops GitHub Repositories
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- stanfordnlp/dspy
stanfordnlp/dspy
32,291View on GitHubDSPy is a declarative programming framework designed for building complex language model applications. It treats model interactions as modular, composable programs, allowing developers to define task logic through typed class schemas rather than relying on manually written prompts. By organizing workflows into hierarchical, reusable Python objects, the framework enables the construction of sophisticated AI systems that manage state and execution flow independently. The framework distinguishes itself through an automated optimization engine that iteratively refines prompt instructions and few-
Executes iterative reasoning loops that allow models to synthesize information and call tools until a task is resolved.
Python
