AI Agent Skills

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…

Multi-agent systems, memory, planning, reasoning loops

AI system design guide for engineers building production AI systems and evals.

Open source agentic operating system

Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…

open-source agentic AI data assistant for the next generation of AI + Data products.

Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书…

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data s…

A visual playground for agentic workflows: Iterate over your agents 10x faster

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.