dspy

The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨

The pretty much "official" DSPy framework for Typescript

Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

WIP - Allows you to create DSPy pipelines using ComfyUI

Experimental Code for StructuredRAG: JSON Response Formatting with Large Language Models

Simple Graph Memory for AI applications

DSPy Go implementation

Build your own RAG and run it locally on your laptop: ColBERT + DSPy + Streamlit

The Ruby framework for programming—rather than prompting—language models.

This codebase demonstrates various DSPy functionalities through practical examples.

Explore the use of DSPy for extracting features from PDFs 🔎

DSPy program/pipeline inspector widget for Jupyter/VSCode Notebooks.

A framework for pitting LLMs against each other in an evolving library of games ⚔

State-of-the-art prompting techniques implementation with DSpy - Manager-style prompts, role personas, meta-prompting, and more

AI-Powered Thesis Review Tool

🤖 AIDevOS: AI-Driven Autonomous DevOps System | Multi-agent collaboration framework with DSPy integration for automated application development and deployment via Durable Objects

Stateful AI Agent for Knowledge Extraction

Quickly get up and running with Event Sourcing and Agentic workflows in Clojure

Intro to using DSPy with Kuzu to enrich the data within the Nobel Laureate mentorship network