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

PromethAI Backend is an open-source framework designed to empower AI agents in decision-making and goal execution. It is ideal for developers looking to integrate autonomous agents into their applications.

Python Selenium Action allows users to run Selenium tests with Python through GitHub Actions, supporting both headless and non-headless browsers. This tool is ideal for developers looking to automate web scraping and testing workflows seamlessly within their CI/CD pipelines.

Scholar Search MCP is a server designed for academic paper search, allowing AI assistants to efficiently retrieve academic paper metadata. It is ideal for researchers and developers looking to integrate academic search capabilities into their applications.

Agent Pi is an extension suite that transforms Raspberry Pi into a multi-agent orchestration platform, enabling users to manage and deploy various AI agents seamlessly. It is ideal for developers and hobbyists looking to leverage the capabilities of Raspberry Pi for AI applications.

This comprehensive tutorial guides users through the development of AI agents, covering various advanced topics such as LLM agents and multi-agent systems. It is ideal for developers and researchers looking to deepen their understanding of AI agent technologies.

This repository provides a comprehensive collection of resources and materials for courses and presentations focused on AI agents and agentic systems in cybersecurity operations. It is ideal for educators, students, and professionals looking to enhance their understanding of AI applications in cybersecurity.

This repository provides comprehensive documentation for LangChain in Chinese, making it accessible to a wider audience. It is ideal for Chinese-speaking developers looking to understand and utilize LangChain effectively.

The Lucid Agents Commerce SDK enables rapid deployment of AI agents capable of engaging in commerce activities, including payments and sales. It is designed for developers looking to bootstrap agentic commerce solutions quickly using various frameworks.

This repository provides a comprehensive set of samples for creating and using MCP servers and clients with .NET. It is ideal for developers looking to implement MCP functionalities in their .NET applications.

This Model Context Protocol (MCP) server enables users to analyze Perfetto traces through natural language prompts. It is designed for developers and data analysts looking to streamline their tracing analysis workflows.

OpenAPI MCP is a Dockerized server that enables AI agents to access any API with existing API documentation. It is ideal for developers looking to integrate various APIs seamlessly into their AI workflows.

QuickDesk is an AI-native remote desktop application that allows AI agents to see and control remote computers seamlessly. It is designed for developers and teams looking to integrate AI capabilities into remote desktop management.

TraceAI is an open-source AI tracing framework designed for AI applications and frameworks, built on OpenTelemetry. It is ideal for developers looking to enhance observability and performance tracking in their AI projects.

Browser Functions is a lightweight serverless platform that utilizes web browsers as execution engines, enabling efficient web automation and scraping. It is designed for developers looking to leverage browser capabilities in their serverless applications.

ESAA Security implements the ESAA architecture for automated security auditing using LLM-based agents. It is designed for security professionals seeking a structured approach to auditing across multiple security domains.

The IDA MCP Server Plugin allows users to serve a MCP SSE server for enhanced interaction with IDA Pro. It is designed for developers and security researchers looking to extend the capabilities of IDA Pro in their analysis workflows.

Jules Action integrates a powerful cloud coding agent into your GitHub workflows, enhancing automation and coding efficiency. It is designed for developers looking to streamline their coding processes within GitHub.

MCP Server by Magic UI provides a robust framework for managing AI model contexts. It is designed for developers looking to integrate AI capabilities into their applications seamlessly.

This MCP Server provides a robust framework for interacting with the Bilibili API, enabling various operations for developers. It is ideal for those looking to build applications that leverage Bilibili's extensive features and data.

The Model Context Protocol enables seamless integration of AI with thousands of applications. It is designed for developers looking to connect their AI solutions to various platforms effortlessly.

This Model Context Protocol (MCP) server enables seamless interaction with Meilisearch through various LLM interfaces. It is designed for developers looking to integrate advanced search capabilities into their applications using language models.

Open Extract is a structured data extractor designed for AI agents, allowing users to search documents or the web for specific data. It is ideal for developers and data scientists looking to automate data retrieval in JSON or Markdown formats.

Task Orchestrator is a server-enforced workflow discipline tool for AI agents, providing persistent work items and dependency management. It is designed for developers looking to implement structured task management and quality control in their AI projects.

Dify Plugin Tools MCP SSE provides a framework for integrating HTTP with Server-Sent Events or Streamable HTTP transport. It is designed for developers looking to enhance their applications with real-time data streaming capabilities.

E-commerce Skills provides AI agents with capabilities for product research, marketing automation, supply chain optimization, and business analytics. It is designed for online sellers operating across various platforms like Amazon, Shopify, Etsy, and TikTok Shop.

GRACE Marketplace provides open Agent Skills for contract-driven AI code generation, leveraging semantic markup and knowledge graphs. It is designed for developers looking to enhance their coding capabilities with advanced AI tools like Claude Code and Codex CLI.

Idea Validation Agents serve as personal venture analysts, helping users brainstorm startup ideas and validate them quickly. This tool is designed for developers who want to streamline their validation process and avoid long-term regrets.

This TypeScript framework allows developers to build Model Context Protocol (MCP) servers with elegance and efficiency. It is ideal for developers looking to create robust server applications using TypeScript.

The MCP Toolbox SDK for Python provides a robust interface for developers to interact with the MCP Toolbox for various databases. It is ideal for data engineers and developers looking to integrate advanced database functionalities into their applications.

Open Data Scientist is an AI agent that automates complex data analysis tasks using the ReAct framework. It is designed for data scientists looking to execute Python code locally or in the cloud, upload datasets, and generate detailed analytical reports with minimal setup.

Splitrail is a fast, cross-platform tool that tracks token usage and monitors costs in real-time for various AI CLI applications. It is designed for developers and teams utilizing AI tools who need to manage their usage efficiently.

This Python package provides unofficial API access to GPT-4, enabling integration with various tools like LangChain and DALL-E 3. It is ideal for developers looking to enhance their applications with advanced AI capabilities.

Idun Agent Platform is an open-source runtime that enables the deployment of LangGraph or Google ADK agents as production-ready FastAPI services. It is ideal for developers looking to self-host AI agents without vendor lock-in, featuring a comprehensive set of tools and guardrails for effective governance and observability.

Knowledge Memory is a memory and context management tool designed for AI agents. It provides a seamless way to manage context and memory, making it ideal for developers building intelligent applications.

MCP Chat provides examples of integrating Pipedream's MCP server into applications or AI agents. It is ideal for developers looking to enhance their projects with server capabilities.

The Nexus SDK provides a comprehensive set of tools for developers to create Talus agents and tools using the Agentic Workflow Engine. It is designed for developers looking to leverage agentic AI capabilities in their applications.

QMT-MCP is a modular quantitative trading assistant designed for developing and executing trading strategies. It is ideal for traders and developers looking to enhance their trading capabilities with a customizable framework.

Sunpeak is a server-agnostic MCP testing framework and full-stack MCP App framework designed for building ChatGPT Apps and Claude Connectors. It is ideal for developers looking to create and test applications across multiple platforms seamlessly.

Superset MCP allows seamless connections to over 50 data stores, enhancing data accessibility for various applications. It is ideal for developers and data engineers looking to integrate diverse data sources with AI capabilities.

Verilog Generator is an agent skill designed for generating Verilog-2001 RTL code, facilitating FPGA design workflows. It is ideal for hardware engineers and developers looking to automate and streamline their design processes.

Chiasmus is an MCP server that enables language models to access formal verification tools. It is designed for developers and researchers working with AI and formal methods who need robust verification capabilities.

DSPy Go is a framework for building AI agents using the Go programming language. It is designed for developers looking to create workflows and integrate AI capabilities into their applications.

LangChain Tutor is a comprehensive guide designed to help users learn LangChain through practical examples and exercises. It is ideal for beginners looking to enhance their understanding of AI and language models using Python, NodeJs, and Golang.

This tool provides AI-powered agents for automating the modernization of legacy COBOL code to Java using the Microsoft Agent Framework. It is designed for developers and organizations looking to streamline their legacy code conversion processes.

This repository provides a serverless AI agent that integrates LangChain.js with the Model Context Protocol (MCP) to facilitate ordering burgers from a restaurant. It is designed for developers looking to build AI-driven applications using modern JavaScript frameworks.

This MCP server provides access to the comprehensive OpenNutrition food database, featuring over 300,000 food items and nutritional data. It is ideal for developers looking to integrate food-related data into their applications.

Paperless MCP is a server designed to facilitate interaction with a Paperless-NGX API, enabling efficient document management. It is ideal for developers looking to integrate and manage documents, tags, and correspondents within their Paperless-NGX instances.

This course provides a structured approach to designing, building, and operating production AI agents. It is ideal for developers and engineers looking to deepen their understanding of AI agent systems.

AWS MCP Server is a lightweight service that allows AI assistants to execute AWS CLI commands in a secure, containerized environment. It is designed for developers and DevOps professionals looking to enhance cloud infrastructure management through AI integration.

The MCP server provides a robust platform for interacting with various blockchain technologies, facilitating swaps and strategic planning. It is designed for developers and teams looking to integrate cryptocurrency functionalities into their applications.