Oracle AI Developer Hub
oracle-devrel
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
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Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 157
oracle-devrel
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
SylphAI-Inc
AdalFlow: The library to build & auto-optimize LLM applications.
NVIDIA
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
zilliztech
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
SciPhi-AI
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
AIDC-AI
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
volcengine
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
morphik-org
The most accurate document search and store for building AI apps
GiovanniPasq
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Agent-Field
Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.
johnbean393
A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other…
Meirtz
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…
EvoAgentX
🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents
swirlai
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
modelscope
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.