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

Agent Forensics is an open-source security framework designed to monitor LLM agent sessions in real time, detecting various types of prompt injection attacks. It is ideal for cybersecurity professionals and teams focused on enhancing the security of AI systems and applications.

This repository demonstrates how to build a modern Python web application that integrates with Azure AI Foundry Agents and LangGraph Agents. It is ideal for developers looking to leverage AI capabilities in their web applications.

This hands-on course teaches you how to build autonomous AI agents using Go, covering topics like LLM fundamentals and multi-agent systems. It's ideal for developers looking to deepen their understanding of AI agent development and implementation.

AI Memory System is a high-performance, distributed memory management system designed for LLM agents. It is ideal for developers looking to enhance AI conversation capabilities through advanced memory architecture and semantic retrieval.

This SDK simplifies the creation and interaction with Amazon Bedrock Agents using the Return Control pattern, enabling users to define function tools and manage conversation flows efficiently. It is ideal for developers looking to streamline their agent development process with minimal boilerplate code.

Anabranch is a headless agent that monitors your tickets and intelligently resolves issues using Cursor and Claude-Code. It is designed for teams looking to automate ticket management and streamline their review process.

Autonomous Lab is a server that transforms workflows into autonomous loops with human decision-making capabilities. It is designed for developers looking to integrate AI into their operational processes.

This repository offers a comprehensive ecosystem map of AI agents and assistants, providing valuable insights into the landscape of AI development. It is ideal for developers and researchers looking to explore and understand the various tools and frameworks available in the AI agent space.

This repository offers a curated list of AI agents, tools, and resources specifically designed to enhance B2B sales processes. It is ideal for sales professionals and teams looking to leverage AI technology to improve their sales strategies and outcomes.

Awesome AI News is a curated list of tools for AI-powered news aggregation and content automation. It is ideal for developers and enthusiasts looking to streamline their news management with innovative AI solutions.

This repository offers a curated list of valuable resources related to Artificial Intelligence and Machine Learning specifically for Java and the JVM. It is ideal for developers and researchers looking to enhance their knowledge and tools in the AI space using Java.

This repository is a curated collection of AI autonomous agents specifically designed for the Web3 ecosystem. It serves as a valuable resource for developers and enthusiasts looking to explore and utilize AI agents in decentralized applications.

Azure CEO is a multi-agent marketing automation system that leverages Azure OpenAI and RAG pipelines for structured experimentation workflows. It is designed for marketers and developers looking to enhance their automation capabilities using advanced AI technologies.

Braid is a LangGraph Agent Development System that enables users to build production-ready AI agents through natural conversation. It is designed for developers looking to create sophisticated AI solutions using Claude Code.

BRAINS is a production-ready, multi-agent medical diagnostic platform that leverages Retrieval-Augmented Generation and LLM inference. It is designed for developers and researchers in the medical field looking to implement advanced diagnostic tools with conversational capabilities.

This repository provides a quickstart guide to building a ChatGPT plugin using JavaScript and Express. It is ideal for developers looking to integrate ChatGPT capabilities into their web applications swiftly.

This repository provides a production-ready AI app structure featuring a RAG pipeline, hybrid search, and self-correcting agents. It is designed for Vibe Coders and ML Engineers looking to build real-world AI applications with robust architecture.

This MCP server provides tools for interacting with Cloudflare Browser Rendering, enabling users to fetch and process web content for use as context in LLMs. It is designed for developers looking to integrate web scraping capabilities into their applications.

This repository offers 12 high-quality AI prompts specifically designed for DevOps engineers to enhance infrastructure documentation. It is ideal for professionals looking to automate their workflows using tools like ChatGPT and Claude.

Dynamic MCP Server is a flexible framework for building Model Context Protocol servers, allowing for both static and dynamic tool registration. It is designed for developers looking to implement customizable and extensible server solutions that adhere to the Model Context Protocol specification.

FAOSTAT MCP is a server that exposes the full FAOSTAT API, allowing AI assistants to query UNFAO Food & Agriculture Statistics using natural language. It is designed for developers and data scientists looking to integrate agricultural data into their applications.

This tool provides a powerful solution for detecting financial anomalies using Isolation Forest and DeepSeek LLM. It is ideal for financial analysts and data scientists looking for AI-powered insights and interactive visualizations.

Flipper MCP is an AI-powered server that allows users to control various hardware interfaces of the Flipper Zero device over WiFi. It is designed for developers and enthusiasts looking to integrate AI capabilities into their hardware projects.

Git Intel MCP Server is a Git intelligence platform that analyzes local Git repositories to provide insights such as hotspots and risk scoring. It is designed for AI agents, offering repository analytics tools while ensuring data remains local and read-only.

This AI-powered CLI tool helps users identify and automatically unsubscribe from marketing emails in Gmail using advanced language models and browser automation. It is ideal for individuals looking to streamline their email management and reduce clutter in their inboxes.

IntelliBricks is a modern Python framework designed for developers to build intelligent applications with ease. It offers robust tools for LLM interactions, making it ideal for those looking to create customized AI solutions.

This framework automates security operations center (SOC) tasks using multi-agent workflows for efficient alert triage and incident response. It is designed for cybersecurity professionals looking to enhance their incident management processes.

This repository provides guidelines for developing coding agents inspired by Andrej Karpathy, suitable for various AI platforms. It is ideal for developers looking to enhance their skills in creating and utilizing AI agents effectively.

This ebook serves as a hands-on study guide for mastering LangChain and LangGraph, focusing on advanced agentic AI patterns and workflows. It is ideal for developers and AI practitioners looking to deepen their understanding of retrieval-augmented generation and multi-agent systems.

The LangGraph Agent Toolkit is a comprehensive framework for building, deploying, and managing AI agents. It is designed for developers looking to create conversational AI agents with advanced features like multi-provider LLM support and observability.

This is a production-ready TypeScript starter for building stateful LangGraph.js agents that manage workflows from planning to execution. It is ideal for developers looking to implement complex workflows with human-in-the-loop capabilities and memory management.

LLM Atlas is a comprehensive knowledge base that covers the foundations and deployment of large language models, including architecture and alignment. It is designed for developers and researchers looking to deepen their understanding of LLMs through notes and runnable code examples.

MarkUDown MCP is a server that enables AI agents to perform web scraping, Google searches, and data extraction. It is designed for developers looking to enhance their AI applications with robust data retrieval capabilities.

This tool facilitates the integration of an Azure OpenAI-based AI agent with a Data Warehouse, utilizing GraphQL in Microsoft Fabric. It is designed for developers looking to connect AI capabilities with data storage solutions.

This tool serves as a specialized Model Context Protocol (MCP) server that allows users to manage their Gmail accounts through an AI agent. It is ideal for developers looking to enhance email interactions with AI capabilities.

MCP LOINC is a modular Python wrapper for the LOINC API, designed for intelligent medical terminology lookup and standardization. It is ideal for developers looking to integrate medical coding functionalities into their applications using Claude Desktop.

MCP Optimizer serves as an intelligent intermediary between AI clients and multiple MCP servers, enhancing communication and efficiency. It is designed for developers looking to streamline interactions within AI architectures.

This tool provides an AI-native MCP server designed for analyzing .NET memory dumps using natural language. It is ideal for developers and engineers looking to leverage LLMs for efficient debugging and diagnostics in .NET applications.

The MCP server for the ILIAS platform enables authenticated course discovery and structured tool access for LLM clients. It is primarily designed for educational institutions like the Ilias University of Stuttgart, facilitating seamless integration with learning management systems.

This MCP server integrates with Keycloak, enabling management of Keycloak users and realms through a standardized protocol. It is ideal for developers looking to streamline user management in their applications using Keycloak's API.

MCP Space is a no-code platform that allows users to build and deploy AI tools effortlessly using the Model Context Protocol. It is designed for developers and non-developers alike who want to create powerful AI agents without writing code, streamlining the deployment process to Cloudflare Workers.

MCP Ticketer is a universal ticket management server designed for AI agents, enabling seamless integration with platforms like Linear, GitHub, Jira, and Asana. It is ideal for developers looking to optimize their AI workflows with intelligent token management.

MindPalace is a local MCP server designed to help large language models remember where you kept your information. It is ideal for developers looking to enhance the memory capabilities of AI models like Claude and ChatGPT.

MindTrial is a tool designed to evaluate and compare AI language models on various text-based tasks, allowing users to include file and image attachments. It is ideal for researchers and developers looking to benchmark and analyze the performance of different AI models across multiple providers.

This repository provides a hands-on tutorial for building multi-agent systems specifically for code review. It is ideal for developers looking to enhance their skills in creating collaborative AI solutions using LangGraph patterns.

This multi-agent system utilizes DSPy to coordinate research and writing agents for generating comprehensive articles on various topics. It is designed for developers and researchers looking to streamline content creation through automation.

This is a production-ready SDK template for building OpenAI agents using TypeScript, featuring essential components like handoffs, tools, and sessions. It is designed for developers looking to create sophisticated AI agent applications with robust features and guardrails.

This plugin enables multi-agent orchestration for building production-ready OPNet Bitcoin L1 dApps from a single prompt. It is designed for developers looking to streamline the development lifecycle with specialized agents and audit patterns.

This plugin allows users to upload PDF documents and extract information to enhance ChatGPT's responses. It is designed for developers looking to integrate PDF capabilities into conversational AI applications.

Primer is a hands-on learning resource designed to help users build real software step-by-step using various AI agents. It is ideal for individuals looking to enhance their coding skills through practical projects and guided experiences.