OPENAGENTSKILL / DIRECTORY
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Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 38
deepset-ai
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…
eosphoros-ai
open-source agentic AI data assistant for the next generation of AI + Data products.
ConardLi
ConardLi's open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more.
dataease
🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
dpgaspar
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more.…
Marker-Inc-Korea
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
JohnnyQ-commits
LLM-powered data engineering agent: converts requirement docs and natural language into production-ready SQL, automating data pipeline workflows for ETL and analytics ta…
go-jet
Type safe SQL builder with code generation and automatic query result data mapping
GiovanniPasq
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Kanaries
Next generation of automated data exploratory analysis and visualization platform.
rag-web-ui
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
raphaelmansuy
EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation
Andrew-Jang
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
griddb
GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.
microsoft
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation