A tutorial project for an AI Love Master app and ReAct autonomous agent built on Spring Boot 3 and Java 21, featuring Spring AI, RAG, Tool Calling, and MCP practices.

Model Context ProtocolRAGAI Agents

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A tutorial repository by Neural Maze for building WhatsApp AI Agents, guiding developers through deployment and development.

Model & Inference Framework大语言模型AI Agents

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Agent2Agent (A2A) is an open protocol enabling secure communication and collaboration between different AI agents from various vendors and frameworks. This repository collects the best resources to help developers build A2A-compatible agents and break down silos between isolated agent systems.

Docs, Tutorials & ResourcesPythonTypeScript

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A free, open-source course that teaches how to build AI agents capable of understanding images, text, audio and videos, connecting components through the MCP (Model Context Protocol).

Docs, Tutorials & ResourcesPythonAI Agents

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A minimal yet professional demo project that showcases the best practices for building agents with the MiniMax M2.1 model, featuring a complete execution pipeline and production-grade capabilities.

Agent & ToolingPythonAI Agents

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