← TracklistKMR-202545 RPM
Stanford NLP / DSPy
The framework for programming, not prompting, LLMs.
FormatOpen Source · AI
Released2025
StatusCore Contributor
Liner notes
Core contribution work across 2024 and 2025 on Stanford NLP's DSPy project, an open-source framework built around programming language-model systems instead of hand-tuning prompts.
KMR context
Core contributor toward DSPy 3.0: architect of Adapters, led and implemented V1 async support with dspy.syncify and dspy.asyncify, led and implemented V1 streaming support with dspy.streamify, and contributed optimizer research.
Public proof (as of 31/05/2026)
◆Stanford NLP's most-starred GitHub project.
◆The repository had 34,741 GitHub stars.
◆The project site reported 7.5M+ monthly downloads and 427+ contributors.