stanfordnlp/dspy — DSPy: The framework for programming—not prompting—language models

Description and use

stanfordnlp/dspy: stanfordnlp/dspy helps turn isolated prompts and tools into repeatable agent workflows.. Use it for coordinate multi-agent workflows; add tool-use pipelines. Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Problem

stanfordnlp/dspy helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

DSPy: The framework for programming—not prompting—language models

Source