agentic-ai

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

🛠️ Awesome tools & guides for harness engineering.

Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI.

II-Agent: a new open-source framework to build and deploy intelligent agents

Connect any AI model to 1200+ integrations (MCP, CLI, API)

Where people and agents build in tune.

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 software. Powered by llama.cpp.

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

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

A persistent workspace for development work that self-improves and continues beyond one session.

One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code

Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

A computer you can curl ⚡

📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev

A agent framework based on the tutorial hello-agents

NOF0 - 开源的 AI 交易竞技场

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

✨ Build a machine learning model from a prompt

A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services.

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.