Discover integrations, agent tools, frameworks, and learning resources for AI agents.

This MCP server enables efficient bulk codebase analysis using Claude Code and Kimi K2.5, significantly reducing token costs. It is designed for developers looking to optimize their coding workflows with advanced AI tools.

This MCP server enables LLMs in agent mode to automatically build workflows in n8n. It is designed for developers looking to streamline workflow automation using AI agents.

Qartez MCP is a semantic code intelligence server designed for developers, providing features like project maps, symbol search, and impact analysis. It is ideal for teams looking to enhance their code understanding and management capabilities.

This repository provides simple tutorials for implementing Retrieval-Augmented Generation (RAG) that can be executed locally or on Google Colab. It is ideal for developers and data scientists looking to enhance their understanding of RAG techniques using popular tools like LangChain and LlamaIndex.

This toolkit provides AI-powered skills for automating second-hand selling across multiple platforms. It is designed for developers looking to enhance resale operations using Claude Code capabilities.

This tool is a free plugin designed to enhance SEO, AEO, and GEO efforts by auditing sites, optimizing content, generating schema, and tracking AI visibility across various platforms. It is ideal for digital marketers and SEO professionals looking to leverage AI for improved search performance.

This tool provides a context-aware Agentic RaG solution for Q&A with multi-source verification and a self-curating knowledge base. It is designed for developers looking to leverage Azure AI technologies to enhance their applications with intelligent retrieval and query capabilities.

AgentFlow provides a collection of multi-agent collaboration design patterns built on LangGraph, offering complete code, architecture diagrams, and benchmarks. It is ideal for developers looking to implement robust AI agent workflows in their applications.

This repository provides a lab walkthrough and demo for integrating AI agents into software development workflows. It is designed for developers looking to enhance their collaboration and productivity through AI tools.

This repository provides pre-built examples of Generative AI agents utilizing Amazon Bedrock across various industries. It is designed for developers and data scientists looking to explore practical applications of AI in real-world scenarios.

API Weaver is a FastMCP server that dynamically creates MCP servers from web API configurations, enabling seamless integration of REST APIs and GraphQL endpoints. It is designed for developers looking to enhance AI assistants with versatile web service capabilities.

This handbook serves as a comprehensive guide for AI engineers, covering essential knowledge from foundational concepts to practical applications in RAG and agents. It is designed for learners seeking structured pathways and frequently asked interview questions in the AI field.

The CustomGPT Starter Kit provides a comprehensive framework for building applications using CustomGPT.ai’s RAG API, featuring embedded widgets and standalone applications. It is ideal for developers looking to create customized chatbot solutions with advanced retrieval-augmented generation capabilities.

This repository provides Jupyter notebooks that explore deep agents using LangChain and LangGraph. It is ideal for developers and researchers looking to understand and implement advanced AI agent techniques.

DeepSecure provides robust identity, credential, and access management solutions tailored for AI developers. It streamlines the security of AI agents and workflows, making it ideal for teams transitioning from prototype to production.

Delphi Gemini is a wrapper for the Google Gemini API that facilitates stateless generation and agent workflows. It is designed for developers looking to integrate multimodal interactions and advanced content generation capabilities into their applications.

Dotskills is a curated set of Codex and OpenClaw skills designed for workflow automation and technical debugging. It is ideal for developers looking to enhance their productivity through agent-assisted development patterns.

FastAPI Agents is an extension designed to integrate various AI agent frameworks seamlessly with FastAPI. It is ideal for developers looking to build AI-driven applications using FastAPI's capabilities.

Fenn is a user-friendly Python framework designed to accelerate the development of machine learning and deep learning workflows, including LLM agents. It offers prebuilt trainers, agent templates, and comprehensive configuration management, making it ideal for both beginners and experienced developers.

This repository provides resources from two technical workshops at the GenAI Hackathon Cairo 2025, focusing on building LLM applications and creating a coding AI agent from scratch using Python. It is ideal for developers and AI enthusiasts looking to enhance their skills in AI application development and agent creation.

This advanced AI email assistant leverages Groq for responsive replies and Llama for contextual information retrieval. It is designed for users looking to enhance their email management with AI-driven capabilities.

This repository provides demos for the Google Agent Development Kit tutorial, making it a valuable resource for developers looking to enhance their skills in AI agent development. It is ideal for those interested in practical examples and hands-on learning in the field of AI agents.

This repository provides a plug-and-play authentication solution for Node.js MCP servers. It is designed for developers looking to implement secure authentication and authorization in their applications.

The LangGraph Mastery Playbook provides guided, code-first lessons for building memory-aware LLM agents and workflows. It is ideal for developers looking to enhance their skills in AI workflows using LangGraph and related technologies.

This resource provides a comprehensive guide to designing and launching RAG AI agents in just 35 minutes. It is ideal for developers and AI enthusiasts looking to enhance their skills in AI agent development using Supabase and Google Cloud.

LeiAI Agent is an intelligent travel assistant system built on Spring Boot 3 and Spring AI, utilizing advanced technologies like RAG and Tool Calling. It provides personalized travel planning, information queries, and intelligent dialogue services for users.

MCP GitLab Server provides a production-grade solution for managing GitLab through AI agents, enabling full control and automation. It is designed for developers and teams looking to integrate AI capabilities into their GitLab workflows.

Mozzie is a local-first desktop application that orchestrates AI coding agents in parallel, enabling efficient management of work items, git worktrees, and dependency tracking. It is designed for developers looking to streamline their coding workflow and enhance productivity with AI assistance.

This tool is an AI travel planner that utilizes multiple specialized agents to generate personalized itineraries including flights, hotels, and activities. It is designed for developers and travel enthusiasts looking to automate and enhance travel planning experiences.

This system leverages LangGraph to facilitate multi-agent deep research with capabilities like task planning and evidence-grounded report generation. It is designed for researchers and developers looking to implement advanced AI workflows with human oversight and reproducibility.

The Multi-Agent MCP Server allows for the orchestration of multiple AI agents like GPT, Claude, and Gemini, functioning as a cohesive AI development team. It is designed for developers looking to integrate and manage various AI models seamlessly.

NoCode Old is a comprehensive multi-agent framework designed for seamless integration with databases, files, emails, APIs, and web crawlers. It is ideal for developers and teams looking to self-host and run complex workflows using their own data across various platforms.

This tool integrates OpenAI's translation capabilities into GitHub Actions, allowing for seamless translation of multiple formats. It is designed for developers looking to automate translation processes within their CI/CD workflows.

OpenRouter Deep Research MCP is a multi-agent research server that orchestrates asynchronous agents for conducting ensemble consensus-backed research. It is designed for developers and researchers looking to leverage advanced AI capabilities in a modular and efficient manner.

PoRAG is a fully configurable RAG pipeline designed for Bengali language applications, supporting both local and Hugging Face models. It is ideal for developers and researchers working in the field of natural language processing and AI in Bengali.

Prompt Challenges offers a structured learning path for mastering large language models through effective prompting and tool usage. It's ideal for developers and AI enthusiasts looking to enhance their skills in prompt engineering and agent workflows.

Pydantic AI RLM enables the handling of extremely large contexts with any LLM provider, making it a versatile tool for developers. It is ideal for those looking to integrate advanced language model capabilities into their Python applications.

This tool implements Retrieval-Augmented Generation (RAG) using LangChain and PostgreSQL for Go applications. It is designed for developers looking to enhance the accuracy and relevance of large language model outputs in their applications.

Saddle keeps your agents, skills, commands, and configurations synchronized across various AI platforms. It is designed for developers and teams working with multiple AI tools who need seamless integration and consistency across their environments.

Strands Temporal Agents provides a robust framework for durable execution of AI agents using Strands Agents and Temporal. It is designed for developers looking to build reliable and efficient workflows for AI applications.

Synapse is a powerful package that enables seamless integration and management of AI agents within Laravel applications. It is designed for developers looking to create, manage, and scale AI agents with customizable options and multiple integrations.

The AI Lead Generation Agent automates the discovery and qualification of potential leads from Quora using intelligent web scraping and orchestration tools. It is designed for sales professionals and marketers looking to streamline their lead generation process with minimal human intervention.

This open-source library provides a collection of AI agent skills that can be easily downloaded and integrated into various workflows. It is ideal for developers looking to enhance their AI applications with pre-built functionalities for Claude Code and ChatGPT.

AutoReviewer leverages large language models to automate the code review process, enhancing code quality and efficiency. It is designed for developers and teams looking to streamline their code review workflow using AI technology.

This tool provides an easy setup script for deploying Anthropic Claude Model Context Protocol (MCP) servers on Windows. It is ideal for developers looking to quickly configure and run Claude MCP servers in a local environment.

The Control Plane for MCP provides a secure vault, managed runtime, and policy-based approvals for AI agents. It is designed for developers looking to implement robust authentication and management solutions in their applications.

DeepSeek MCP is a lightweight server that provides a supervised worker interface for AI models like Claude Code and Codex. It is designed for developers looking to integrate AI capabilities into their applications using the Model Context Protocol.

This tool serves as a Model Context Protocol (MCP) server that allows users to check domain availability across multiple top-level domains. It is ideal for developers and businesses looking to streamline domain verification processes with features like DNS/WHOIS verification and bulk checking.

Fallow Skills provides agent skills for codebase intelligence, helping AI agents identify issues like unused code and complexity hotspots. It is ideal for developers looking to enhance their JavaScript and TypeScript projects with advanced static analysis capabilities.

Jupyter Studio is an AI-native JupyterLab that enhances notebook functionality with multi-step agents and inline editing capabilities. It is designed for data scientists and developers looking for a powerful coding assistant that integrates various AI models.