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

Ziya is a self-hosted AI technical workbench designed for development, architecture, and operational analytics. It is ideal for developers and teams looking to enhance their workflow with visual and persistent multi-stream capabilities.

Abaqus Control MCP allows AI to drive Abaqus modeling by connecting various AI clients directly to an active Abaqus/CAE session. This tool is ideal for engineers and researchers looking to enhance their modeling workflows with AI capabilities.

This repository serves as a comprehensive guide for building, orchestrating, and deploying AI agents using the Microsoft Agent Framework. It is ideal for developers looking to create both simple chat agents and complex multi-agent workflows.

Bear Notes MCP is a server designed for the Bear app, enabling full read and write capabilities for AI-powered note management. It is ideal for users looking to enhance their productivity through advanced note-taking features with AI integration.

This course provides tutorials and exercises focused on building Retrieval-Augmented Generation (RAG) agents using large language models. It is designed for learners interested in enhancing their skills in AI agent development.

This tool serves as a client for managing chat interactions with both remote and locally hosted MCP servers. It is ideal for developers looking to integrate chat functionalities into their applications using Next.js and TypeScript.

This tool provides a server implementation for integrating the Claude API with Claude Desktop, enabling advanced conversation management. It is designed for developers looking to enhance their applications with Claude's capabilities.

CutCLI Cookbook provides a comprehensive collection of JSON templates, AI prompts, and documentation for generating editable video drafts using the CutCLI tool. It is designed for developers and content creators looking to automate video editing tasks efficiently.

The Deep Research Assistant is designed for intelligent orchestration and seamless human-AI interaction, addressing complex research challenges autonomously. It is ideal for researchers and developers looking to enhance their workflows with advanced AI capabilities.

DSPy REFRAG is a framework designed to enhance retrieval-augmented generation (RAG) processes, improving the efficiency and effectiveness of data retrieval. It is ideal for developers and researchers looking to implement advanced RAG techniques in their applications.

Gocode is a high-performance AI agent harness runtime rewritten in Go, designed for orchestration and session management. It is ideal for developers looking for a lightweight, dependency-free solution for AI agent management.

This repository provides a collection of 51 specialist AI agents designed for healthcare administration workflows. It is ideal for professionals in the healthcare sector looking to streamline their administrative tasks using AI technology.

K-LEAN is a cross-platform toolkit designed to enhance Claude Code with multi-LLM consensus and specialized agents. It is ideal for developers looking to streamline their AI workflows with a one-command installation process.

This roadmap provides a comprehensive guide to mastering Laravel 12+, covering advanced topics such as architecture, AI agents, and DevOps. It is ideal for developers looking to deepen their knowledge and prepare for senior-level interviews with over 300 questions included.

Legal Agent Orchestrator is a collaborative AI tool designed for legal workflows, enabling multiple agents to produce legal opinions with comprehensive audit trails. It is ideal for legal professionals seeking to streamline their processes and enhance collaboration across jurisdictions.

Local LLM Server provides a quick way to build a private large language model server with OpenAI-compatible interfaces. It is designed for developers looking to deploy their own LLM solutions in a local environment.

This repository provides 20 beginner-friendly projects using LangGraph, designed to help users unlock the potential of AI agents in various applications. Ideal for developers looking to enhance their skills in Python and AI agent development through practical examples.

Mattermost MCP Host is an integration that connects Mattermost to Model Context Protocol (MCP) servers, utilizing a LangGraph-based agent. It is designed for teams looking to enhance their Mattermost experience with advanced AI capabilities.

This TypeScript library provides OAuth2 authentication utilities specifically designed for Model Context Protocol (MCP) clients. It simplifies the integration of OAuth authentication into MCP client implementations, making it ideal for developers working with this protocol.

MCP Mesh is an enterprise-grade distributed AI agent framework designed for developing, deploying, and observing AI agents. It supports multiple programming languages and offers features like dynamic dependency injection and auto-failover, making it ideal for developers looking to build robust AI solutions.

MCP Server facilitates connections with the Claude Code local command, enabling seamless integration for developers. It is ideal for those looking to enhance their AI applications with Claude's capabilities.

This tool provides a server for AI-powered control of the napari image viewer, enabling integration with various LLMs for interactive image analysis. It is designed for researchers and developers looking to automate microscopy workflows and enhance image analysis capabilities.

Meta Prompt MCP Server transforms any MCP Client into a multi-agent system through advanced prompting techniques. It is designed for developers looking to enhance their agent capabilities in a flexible and scalable manner.

MindBridge is an AI orchestration MCP server that enables seamless communication between any application and various LLMs through a unified API. It is designed for developers looking to create smarter multi-LLM workflows and enhance their applications with advanced AI capabilities.

Minimal Godot MCP is a lightweight server that bridges Godot's Language Server Protocol (LSP) to MCP clients, facilitating GDScript validation. It is designed for developers using Godot who need an efficient way to validate their scripts through a server connection.

This tool provides a minimal server/client implementation of the Model Context Protocol for controlling web browsers using Playwright. It is designed for developers looking to integrate OpenAI capabilities with web automation tasks.

OneNote MCP Server provides a complete solution for accessing your OneNote knowledge base through AI, featuring robust authentication and full API support. It is ideal for users looking to integrate their OneNote data with AI capabilities seamlessly.

OpenMolt allows developers to create programmatic AI agents in Node.js that can think, plan, and act using various tools and integrations. It is designed for software developers looking to implement AI capabilities directly within their codebase.

PhonePi MCP enables seamless integration between desktop AI tools and your smartphone, providing a variety of direct actions for enhanced mobile control. It is designed for users looking to bridge their desktop and mobile experiences efficiently.

RAG Bot is a platform designed to facilitate the development of advanced conversational agents using retrieval augmented generation (RAG). It is ideal for developers looking to create sophisticated AI-driven conversational experiences.

Template Deep Research is an advanced AI deep research assistant that leverages Mastra's workflows and agent capabilities. It is designed for users seeking to explore topics, evaluate results, and generate comprehensive reports in an interactive, human-in-the-loop environment.

This repository offers a collection of tutorials focused on artificial intelligence, catering to learners at various levels. It is ideal for anyone looking to deepen their understanding of AI concepts and applications through practical examples.

Agent Skills provides guided integrations for You.com capabilities into various AI workflows, enhancing development tools for AI agents. It is designed for developers looking to streamline AI integration with platforms like Claude and OpenAI.

Agentic MCP Skill is a progressive MCP client designed for efficient token usage through a three-layer lazy loading mechanism. It is ideal for developers looking to implement MCP without the need for pre-installation or full loading, enhancing their agent capabilities.

Agentic OS is a personal operating system designed to automate high-leverage workflows using various coding agents and runtime platforms. It is ideal for developers and tech enthusiasts looking to streamline their coding processes with AI integration.

This repository provides production-ready AI rules for Unity, enabling developers to implement a single source of truth for cursor and Google Antigravity with an auto-sync workflow. It is designed for game developers looking to enhance their Unity projects with AI capabilities.

AiDex is a powerful MCP server designed for persistent code indexing, enabling AI assistants to access your codebase with minimal context. It is ideal for developers seeking efficient code search and indexing solutions.

This repository is a comprehensive collection of cutting-edge LLMs and agents specifically focused on biomedical and bioinformatics applications. It serves as a valuable resource for researchers and practitioners looking to explore the intersection of AI and biology.

Awesome Letta is a curated list of exceptional projects, tools, tutorials, and resources for developing stateful AI agents with persistent memory. It serves as a valuable resource for developers and enthusiasts looking to enhance their understanding and implementation of AI agents.

This repository offers a curated list of MCP servers, clients, and toolkits for developers. It is ideal for those looking to explore and utilize various MCP resources effectively.

Code Graph MCP is an AST knowledge graph server designed for Claude Code, enabling semantic search and call graph traversal. It is ideal for developers looking to enhance code navigation and impact analysis across multiple programming languages.

DocChat Multi-Agent is a multi-agent RAG system designed for intelligent document Q&A, incorporating advanced features like fact-checking and hallucination prevention. It is ideal for developers and researchers looking to enhance document interaction capabilities using AI.

Enhanced MCP Memory is a sophisticated server designed for intelligent memory and task management, ideal for AI assistants and development workflows. It offers features like semantic search, automatic task extraction, and knowledge graphs to streamline project management.

This repository provides three working examples that illustrate the evolution of AI agent development, showcasing various methodologies from traditional retrieval-augmented generation to modern SDKs and skill-based frameworks. It is ideal for developers and researchers looking to understand the progression and current trends in AI agent technology.

LLM Keypool provides a free-tier API key pool with rotation and cooldown handling, designed for seamless integration with OpenAI-compatible tools. It is ideal for developers looking to utilize LLMs without the need for a paid API key.

LLM Server is an open-source platform that enables users to deploy and manage large language models with support for various integrations. It is ideal for developers looking to implement AI solutions using multiple LLMs in their applications.

LLM Stock Team Analyzer is a multi-agent framework designed for stock analysis, utilizing specialized agents for technical analysis, news sentiment, and investment recommendations. It is ideal for developers and analysts looking to leverage AI for financial insights and decision-making.

LongTracer is a tool designed to detect hallucinations in LLM responses by verifying claims against source documents. It is ideal for developers and researchers working with language models who need to ensure the accuracy and reliability of generated content.

This repository provides comprehensive guidance on building stateful AI agents and workflows using LangGraph in Python. It is ideal for developers looking to implement advanced agentic systems with features like memory persistence and multi-agent capabilities.

MCP Server allows users to discover, set up, and integrate with various clients to enhance their workflows. It is designed for developers and teams looking to leverage AI capabilities in their daily operations.