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

The OpenSearch Dify Plugin enables seamless integration with Dify, enhancing search capabilities. It is designed for developers looking to extend the functionality of Dify with OpenSearch features.

This repository provides OpenTelemetry-powered instrumentation packs for LangChain4j and Semantic Kernel, enabling enhanced observability for AI applications. It is designed for developers looking to integrate observability into their GenAI projects seamlessly.

OpenTool is an open-source MCP server that provides AI agents with authenticated access to various tools including GitHub, Notion, and Slack. It is designed for developers looking to streamline their AI integrations across multiple platforms with a single connection.

OPUS is a bio-inspired multi-agent swarm architecture designed for collective reasoning with large language models. It is ideal for developers looking to implement advanced AI agent frameworks in their applications.

This connector integrates Semantic Kernel memory with Oracle 23ai, enabling enhanced data management and retrieval. It is designed for developers looking to leverage Oracle databases within AI applications.

Orchestrail is a local multi-agent orchestration tool that utilizes DAG scheduling and provides an OpenAI-compatible API. It is designed for developers looking to manage and coordinate multiple AI agents in a self-hosted environment.

Otonom Aglar MCP is an autonomous agent network architecture based on Anthropic's MCP, designed to transform LLMs into intelligent systems capable of taking actions in the real world. It is ideal for developers looking to build autonomous applications using advanced AI techniques like ReAct loops and semantic memory integration.

Palazzo is a self-contained Rust memory palace that integrates Qdrant with local fastembed, offering a structured schema for managing memory. It is designed for developers looking to implement advanced memory management techniques in their applications.

PaperLens AI is a powerful tool that leverages LLM technology to summarize and perform topic modeling on research paper PDFs. It is designed for researchers and academics looking to efficiently analyze large volumes of literature.

Penman converts markdown to rich text styled for various platforms like Slack, Teams, and Notion, making it easy to share formatted content. This tool is ideal for users who frequently communicate across multiple messaging and collaboration platforms.

This tool is a personal agentic AI operating system that orchestrates tasks across specialized agents and executes code in a sandbox environment. It is designed for developers looking to create advanced AI-driven applications with text and voice interaction capabilities.

This tool provides a personal assistant built with a multi-agent architecture using Langflow. It is designed for developers looking to create customizable assistant applications.

PII Ghost is a library designed to anonymize personally identifiable information in AI agent conversations. It is ideal for developers looking to enhance privacy in their applications by integrating seamless PII detection and anonymization features.

PodFlower is a sophisticated multi-agent system designed to automate the complete end-to-end workflow for Japanese podcast production. It is ideal for developers looking to streamline podcast creation and management processes using advanced AI techniques.

Polybridge MCP is a universal multi-bridge hub that connects any LLM to various platforms like n8n and Blender through a single gateway. It is designed for developers and AI practitioners looking to integrate multiple tools seamlessly.

This tool provides a fully featured PostgreSQL server adapter for the Model Context Protocol (MCP), enabling robust read/write access and enhanced schema metadata. It is designed for developers looking to integrate PostgreSQL with AI-powered applications seamlessly.

Power Agent provides a framework for developing agents using LangGraph, making it easier for developers to create intelligent applications. It is ideal for developers looking to leverage agent-based architectures in their projects.

This AI-powered assistant helps users effectively launch products on Product Hunt by leveraging AWS Bedrock and the Strands Agents framework. It is designed for entrepreneurs and product marketers looking to optimize their launch strategies.

This tool provides a programmable email inbox skill that can be utilized by over 40 AI agents, including Claude Code and Codex. It is designed for developers looking to enhance their AI agents with email capabilities.

This repository provides datasets specifically designed for developing and testing prompt injection tooling for large language models. It is ideal for researchers and developers looking to enhance their understanding and capabilities in prompt engineering.

Prompt2SQL is an intelligent query generation tool that converts natural language prompts into executable SQL queries. It is designed for non-technical users who need intuitive access to structured data without requiring deep technical knowledge.

This eval-first AI agent efficiently triages property maintenance emails, utilizing a robust evaluation system for error analysis and performance validation. It is designed for developers and engineers looking to enhance their AI agent capabilities in property management contexts.

Pydantic Agents is a demo AI pipeline that showcases observable AI using Pydantic AI, Logfire, and Render. It is designed for developers and data scientists interested in building and understanding AI workflows.

This repository provides a starter template for building AI applications using Pydantic and FastAPI. It is ideal for developers looking to create robust and scalable AI-driven web applications in Python.

Pydantic AI Provenance provides capabilities for tracking provenance and verifying citations in AI agent runs. It is designed for developers and researchers who need to ensure the integrity and traceability of AI-generated outputs.

Pydantica is an educational project focused on using Pydantic for AI applications involving multi-agent systems for image and video processing. It is designed for developers and data scientists looking to enhance their skills in AI and Pydantic integration.

Q•Ai is an AI-assisted QA automation toolkit designed to streamline the testing process using Playwright and Allure Reporting. It is ideal for developers and QA engineers looking to enhance their testing workflows with automation tools.

This agent utilizes memory to facilitate fluid conversations, allowing users to query the re:invent 2023 agenda by session ID or description. It is designed for attendees seeking personalized session recommendations based on their interests.

Qmcp is a cross-platform AI chat client that enables intelligent, context-aware interactions with multiple LLMs using the Model Context Protocol. It is designed for developers looking to build advanced chat applications leveraging AI capabilities.

QRCode MCP Server is a robust server designed for generating QR codes efficiently. It is ideal for developers looking to integrate QR code generation into their applications seamlessly.

QuantBrains is an AI-powered financial analyst that provides real-time stock data and SEC 10-K analysis. It is designed for financial analysts and investors seeking to leverage AI for stock market insights.

Queenbee is a message-queue-driven multi-agent orchestration engine designed for seamless collaboration among AI agents. It is ideal for developers looking to implement complex agent interactions in their applications.

QueryGen is a tool that simplifies querying MongoDB databases by integrating LLMs with FastAPI. It is designed for developers looking for an easy way to interact with their MongoDB data through a straightforward API.

This tool leverages Large Language Models to query CSV files and plot graphs, simplifying data analysis through natural language interaction. It is designed for data professionals seeking intuitive and efficient data manipulation techniques.

RAG Mastery is a comprehensive repository designed to teach the fundamentals and advanced concepts of Retrieval-Augmented Generation (RAG). It is ideal for learners and practitioners looking to deepen their understanding of chunking, embeddings, and multi-agent systems in AI.

This repository provides a framework for building a Question Answering Generative AI application using Large Language Models and Amazon OpenSearch Service with Haystack. It is ideal for developers looking to implement advanced AI-driven search capabilities in their applications.

RAGent Chatbot is a smart AI assistant that leverages Retrieval-Augmented Generation to answer user queries using uploaded documents and perform various tasks. It is designed for users seeking an intelligent chatbot solution that integrates multiple tools and capabilities.

RAGMap is a comprehensive tool that combines a subregistry API with an MCP server and Firestore ingestion capabilities. It is designed for developers and data engineers looking to implement retrieval-augmented generation workflows efficiently.

Raigo is an open standard for AI agent governance that allows users to write policies in a .raigo file and compile them for various platforms. It is designed for developers and organizations looking to implement compliance and governance in their AI systems.

RankReady is an AI-powered SEO plugin for WordPress that enhances content visibility through features like FAQ generation and AI summaries. It is designed for website owners and marketers looking to optimize their content for search engines using advanced AI techniques.

React Agent Assistant is an intelligent assistant system built on the OpenAI Agents SDK, implementing the ReACT reasoning and acting mode. It is designed for developers looking to integrate multi-turn tool calls, conversation history management, and streaming responses into their applications.

ReAct Agent from Scratch is a pure Python implementation of the ReAct agent, designed for users who want to understand the ReAct loop without relying on frameworks. It provides a web UI and integrates multiple tools, making it suitable for developers interested in building AI agents with minimal dependencies.

Recall Space Agents provides high-level abstractions and tools for building agentic applications with minimal code. It is designed for developers looking to simplify complex workflows using hierarchical agents.

Reddit AI Pulse Cloud is a data pipeline tool that collects, processes, and analyzes Reddit content related to AI. It is designed for data analysts and AI enthusiasts seeking insights into discussions and sentiment on the platform.

Reddit AI Pulse Local Public is a data pipeline tool that collects, processes, and analyzes Reddit content related to AI discussions and sentiment. It is designed for data analysts and AI enthusiasts looking to gain insights from social media discussions using modern data tools and LLMs.

Remote Postgres MCP enables seamless integration with PostgreSQL databases for AI agents. It is designed for developers looking to enhance their applications with robust database connectivity.

This AI-powered tool compares resumes with job descriptions to generate fit scores, resume suggestions, and interview questions. It is designed for job seekers and recruiters looking to enhance their hiring process and candidate matching.

Routesmith is a host-aware model routing library designed for coding agents, providing a Python library and MCP server. It is ideal for developers looking to enhance their AI agent workflows with advanced routing capabilities.

This tool provides a skill pack for AI agents to interact with RPG Maker MV/MZ project files. It is designed for developers looking to enhance their RPG Maker projects with AI capabilities.

Rule intelligently analyzes resumes using a powerful local LLM, providing deeper insights into skills, projects, and experience. This tool is designed for recruiters looking to streamline their candidate shortlisting process.