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

This tutorial teaches users how to create a powerful AI chatbot using LangGraph, FastAPI, and Streamlit. It is ideal for developers looking to integrate AI capabilities into their applications with a focus on backend processing and user interface design.

AI Threat Modeling Action is a GitHub Action that automates threat modeling and security reviews using AI. It is designed for developers and security professionals looking to enhance their DevSecOps practices with automated security assessments.

Claude Project Coordinator is a Swift-powered MCP server that enhances multi-project Xcode development by tracking project status and maintaining a structured knowledge base. It is ideal for developers looking to streamline their workflow and improve project management efficiency.

This repository offers a comprehensive collection of Generative AI projects and experiments, making it a valuable resource for developers and researchers interested in the latest advancements in AI. It covers a wide range of topics including RAG, chatbots, and LLM fine-tuning, providing practical examples and insights.

DeepTrade is an AI-based cryptocurrency quantitative trading system designed specifically for ETH futures trading. It integrates multiple LLM providers for intelligent decision-making and advanced technical indicator analysis, making it suitable for traders looking to enhance their strategies with real-time market data processing.

This repository provides a scalable question-answering system built with FastAPI and LangChain, utilizing PGVector for efficient data handling. It is ideal for developers looking to implement advanced AI-driven Q&A solutions in cloud environments.

The Generative AI Toolkit is a lightweight library designed for building, testing, and evaluating AI agents in Python. It is ideal for developers looking to leverage various LLMs supported by the Amazon Bedrock Converse API.

Go MCP is a Go implementation of the Model Context Protocol (MCP) that facilitates integration between LLM applications and various external data sources and tools. It is designed for developers looking to enhance their applications with seamless data connectivity and interoperability.

InstAgent allows users to effortlessly create multi-agent systems from natural language descriptions, making it ideal for developers and researchers in AI. It streamlines the process of defining roles and generating executable code, enhancing productivity in AI development.

MCP Airflow API allows users to control Apache Airflow workflows using natural language, eliminating the need for REST API calls. It is designed for data engineers and DevOps professionals looking to streamline workflow management with AI capabilities.

This repository provides a comprehensive tutorial on creating MCP clients using JavaScript. It is ideal for developers looking to understand and implement MCP client functionality in their applications.

The MCP Server for Fal.ai enables users to generate images, videos, music, and audio using Claude. It is designed for developers looking to integrate advanced media generation capabilities into their applications.

MCP Snowflake Service provides a server implementation that integrates with Snowflake, enabling seamless data operations. It is designed for developers looking to connect their applications with Snowflake for enhanced data management and analytics.

MCPcat is an analytics platform designed for MCP server owners, providing tools for observability and debugging. It is ideal for developers looking to enhance their server management and analytics capabilities.

MD2Wechat MCP Server allows users to format and publish content directly to WeChat public accounts using AI agents. It is designed for developers looking to integrate AI capabilities with WeChat's publishing features.

MegaMem transforms your Obsidian vault into a powerful knowledge graph, enhancing knowledge management and retrieval. It is ideal for users looking to leverage their personal knowledge bases with advanced graph capabilities.

This repository provides practical code examples and tutorials for understanding and using the Model Context Protocol (MCP). It is ideal for developers looking to enhance their knowledge of MCP through hands-on learning.

This platform enhances troubleshooting for OnCall scenarios through improved multi-agent capabilities and LangGraph-based workflows. It is designed for teams looking to streamline their AIOps processes with integrated tools and vector search functionalities.

This repository provides practical demos for integrating AWS services to build sophisticated Large Language Models (LLMs) and generative AI applications. It is ideal for developers looking to create responsive chatbots and enhance content generation using AWS technologies.

Readwise Reader MCP is a Model Context Protocol server designed for seamless integration with the Readwise Reader API. It is ideal for developers looking to enhance their applications with advanced reading and note-taking capabilities.

Roampal Core is an outcome-based persistent memory server designed for AI assistants, enabling them to manage and optimize advice based on user interactions. It is ideal for developers looking to enhance their AI applications with long-term memory capabilities.

The Template Coding Agent provides advanced coding capabilities with secure sandbox execution and comprehensive file management. It is designed for developers working with Python, JavaScript, and TypeScript to streamline their development workflows.

Agent Browser Workspace is a local browser toolkit designed for AI agents, enabling deep research and browser automation using Chrome and Playwright. It is ideal for researchers and developers looking to automate web navigation and data extraction tasks efficiently.

Agentic Code is a coding framework that utilizes systematic, test-first workflows to enhance productivity for developers. It is designed for those looking to integrate AI coding agents into their development processes.

AI Lawyer is an intelligent reasoning legal assistant that streamlines legal research and document analysis through retrieval-augmented generation. It is designed for legal professionals seeking precise insights and efficient contract summarization.

Algorand MCP provides a local model context protocol for building and managing AI models. It is designed for developers looking to implement efficient model management solutions in their applications.

This starter template provides a framework for building custom Copilot agents and orchestrating multi-step workflows in Azure. It is designed for developers looking to streamline infrastructure operations with Azure's capabilities.

This VSCode extension provides a Playwright-based MCP server that allows AI agents to interact with a live browser environment. It is ideal for developers looking to debug and control AI agent executions within their development environment.

Code Screenshot MCP is a server designed to generate beautiful code screenshots directly from Claude. It is ideal for developers looking to enhance their code presentations with visually appealing images.

CodexLens Search is a lightweight semantic code search engine that utilizes a two-stage vector and full-text search fusion. It is designed for developers seeking efficient code search capabilities within their local environments.

DocDocGo Core automates web research and helps curate knowledge bases for interactive chat experiences. It is designed for developers and researchers looking to enhance their data gathering and conversational AI capabilities.

Dragon Brain provides persistent long-term memory for AI agents through the Model Context Protocol, integrating a knowledge graph and vector search capabilities. It is designed for developers looking to enhance AI agent functionality with advanced memory solutions.

DuneTrace provides real-time monitoring for your production AI agents, ensuring that no raw content is transmitted during the process. It is designed for developers and teams looking to enhance the observability and performance of their AI systems.

Easy Claude Code provides a comprehensive learning roadmap to understand Claude Code, covering its architecture and agent workflows. This resource is ideal for developers and AI enthusiasts looking to deepen their knowledge of Claude Code.

Eliza Plugin for MCP enables agents to connect seamlessly to MCP servers, enhancing their capabilities. It is designed for developers looking to integrate ElizaOS with various MCP environments.

Extract Design System is a tool that allows users to extract design tokens such as colors, typography, and spacing from any public website. It is ideal for developers and designers looking to streamline their design processes and integrate design tokens into their local projects.

Flyboy is a lightweight ChatGPT plugin designed for Neovim, enhancing the coding experience with AI assistance. It is ideal for developers who use Neovim and want to integrate ChatGPT functionalities into their workflow.

Lavra is a plugin designed to enhance AI coding agents with compound engineering workflows and memory capabilities. It is ideal for developers looking to streamline their coding processes with advanced AI functionalities.

Like Code is a customized fork of Claude Code designed for routed models and multi-agent orchestration. It provides developers with dense terminal control capabilities for advanced AI applications.

Local Life Manager is a customizable life management framework designed for enhancing personal productivity through skills, agents, and workflows. It is ideal for individuals looking to optimize their daily tasks and personal organization using AI-driven solutions.

MatClaw is an open materials-science agent that transforms natural-language tasks into reproducible simulation workflows. It is designed for researchers and practitioners in materials science looking to streamline their simulation processes.

This MCP client application leverages Spring AI to facilitate AI-powered chat interactions with MCP protocol-supported servers. It is designed for developers looking to integrate advanced AI capabilities into their applications seamlessly.

MCP Go Language Server provides AI-powered code assistance for Go programming through an MCP server. It is designed for developers looking to enhance their coding experience with intelligent features in compatible tools.

This MCP server enables users to manipulate STL files, slice models using BambuStudio, and control Bambu Lab 3D printers directly. It is designed for 3D printing enthusiasts and developers looking to enhance their printing workflow.

This MCP server enhances x64dbg with 152 AI-powered debugging tools, making reverse engineering more efficient. It is designed for developers and security researchers looking to leverage AI in debugging and malware analysis.

MongoDB Agents with Google ADK provides a framework for developing AI agents that can interact with MongoDB databases. This tool is ideal for developers looking to integrate AI capabilities into their MongoDB applications.

PARA Workspace is an open-source framework designed to help humans and AI agents organize knowledge and collaborate effectively on projects. It includes a kernel, CLI tools, and templates to create structured workspaces for productivity.

Perspective analyzes news and social feeds to present credible counter-narratives from reliable sources, promoting critical thinking and reducing bias. It is designed for users seeking a comprehensive understanding of news stories beyond one-sided narratives.

RAG CLI is a Local Retrieval-Augmented Generation plugin designed for Claude Code, integrating Chroma db vector embeddings with intelligent information retrieval. It is ideal for developers seeking context-aware assistance in their coding workflows without incurring token usage.

RAG Ollama is a Retrieval Augmented Generation system that integrates LangChain, Ollama, and Chroma DB for enhanced language model capabilities. It is designed for developers and researchers looking to implement advanced AI solutions using state-of-the-art models.