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evalops/dspy-micro-agent
Minimal agent runtime built with DSPy modules and a thin Python loop. Includes CLI, FastAPI server, and eval harness with OpenAI/Ollama support. |...
chrisammon3000/dspy-neo4j-knowledge-graph
LLM-driven automated knowledge graph construction from text using DSPy and Neo4j. | Language: Python
Day 17: I discovered “DSPy” #software #daily #softwaredeveloper #techtalk #tech
Channel: Jun Wake Up
Laurian/context-compression-experiments-2508
prompt engineering experiments with DSPy GEPA and TextGrad | Language: Python
mbakgun/dspy-examples
This codebase demonstrates various DSPy functionalities through practical examples. | Language: Python
ProbioticFarmer/dspy-star-history
Complete forensic analysis of DSPy GitHub stars. 57.6% fake using CMU detection. Timeline graph shows sustained manipulation campaign with visible...
FastApi , ReactJs, PostgreSQL, Gemini AI, DSPy prompt engineering
This is a Demo of Optical Character Recognition task using FastApi , ReactJs, PostgreSQL, Gemini AI, DSPy prompt engineering ... | Channel: Jayesh...
developzir/gepa-mcp
MCP server integrating GEPA (Genetic-Evolutionary Prompt Architecture) for automatic prompt optimization with Claude Desktop | Language: Python |...
legout/veritascribe
AI-Powered Thesis Review Tool | Language: Python | License: MIT License
SuperagenticAI/Agenspy
Make DSPy Agentic using protocol-first approach that support the Agent Protocols like MCP, A2A | Language: Python | License: MIT License
ngshya/easyRAG
Build your own RAG and run it locally on your laptop: ColBERT + DSPy + Streamlit | Language: Python
ALucek/dspy-breakdown
Stop prompt engineering! Program your LLMs with DSPy | Language: Jupyter Notebook
jordan-barrett-jm/llm-page-extraction-gepa-dspy
Demonstrates how to use the GEPA prompt optimizer in DSPy to improve a financial statement page extractor. | Language: Jupyter Notebook
jmanhype/AgentLearningEE
Agent Learning via Early Experience - Bootstrap agent training without reward signals using DSPy | Language: Python
Building Reliable AI Agents for Publishing: A DSPy-Based Quality Assurance Framework
Recorded at PyCon DE & PyData 2025, April 23, 2025 https://2025.pycon.de/program/F7RDPT/ A comprehensive framework ... | Channel: PyData
prrao87/structured-outputs
Micro benchmark comparing DSPy and BAML for structured outputs | Language: Python | License: MIT License