15350 listings found(showing 14751-14800)
Mercor Project is a Python-based tool that identifies the most technically complex repository from a GitHub user's profile. It leverages GPT and LangChain to analyze and assess repositories, making it ideal for developers seeking to explore challenging projects.
This demo application showcases how to utilize AWS Bedrock to create a Retrieval-Augmented Generation (RAG) application. It is designed for developers looking to integrate AI agents with knowledge bases in their projects.
This sample console application demonstrates the capabilities of Microsoft Semantic Kernel using a local model served by LM Studio. It is designed for developers looking to explore and implement AI functionalities in their .NET applications.
This tool automates the process of logging into Microsoft Teams, downloading calendar appointments, and joining meetings. It is designed for users looking to streamline their Teams experience and manage meeting attendance efficiently.
This repository provides a basic bot template for Microsoft Teams using the Teams Toolkit for Visual Studio Code, integrating Azure Bot Service and Azure Cosmos DB for local development. It is ideal for developers looking to create and deploy bots within the Microsoft Teams ecosystem.
MII AI Security provides open-source SKILL.md packs designed to enhance the security of LLM systems against various threats. It is ideal for engineers looking to implement robust security measures in production environments.
This plugin allows seamless integration of the Miibo service with the Dify platform, enhancing the capabilities of AI agents. It is designed for developers looking to extend their AI applications with Miibo functionalities.
Mind Swarm is a multi-agent AI orchestration system designed for dynamic interactions and shared memory management. It is ideal for developers looking to create complex AI systems that require efficient coordination among multiple agents.
MindVault allows users to interact with their documents using local language models, providing a full-stack retrieval-augmented generation (RAG) experience. It is designed for developers and users looking to leverage local LLMs on both iOS and Android platforms.
This tool is a Minecraft bot that utilizes Agents for Amazon Bedrock, providing a unique interactive experience. It is designed for developers looking to integrate AI capabilities into Minecraft gameplay.
Minecraft Container Apps is a bot designed to run within Azure Container Apps, providing a seamless integration for Minecraft gameplay. It is ideal for developers looking to deploy Minecraft bots in a containerized environment.
Mini Cursor is a tool that enables AI agents to automate coding tasks by applying context-aware commands directly to files. It is designed for developers looking to enhance their coding efficiency with real-time assistance from AI models.
Miroclaw is a standalone CLI tool designed for AI agent swarm intelligence and prediction, utilizing a P2P multi-node consensus mechanism. It is ideal for developers and researchers interested in decentralized systems and multi-agent simulations.
Missiora provides mixed-reality computer vision AI agents tailored for solopreneurs, leveraging HuggingFace Vision and the OpenAI SDK. This tool is ideal for developers and entrepreneurs looking to integrate advanced AI capabilities into their projects.
MisterSmith is a Rust-based multi-agent orchestration platform designed for durable session management and supervised execution. It is ideal for developers looking to build and manage complex AI agent systems with integrated messaging and control features.
Mobile Health Manager is a modular mobile app navigation tool that leverages large language models to facilitate intelligent navigation through natural language instructions. It is designed for developers and users looking to enhance mobile application usability in the health sector.
Modal MCP Server provides utilities for interacting with Modal through LLM tools, facilitating seamless integration for developers. It is designed for developers looking to enhance their applications with Modal's capabilities.
Model Block Protocol (MBP) is a language-agnostic protocol designed for LLM tool use, enabling action chaining and local execution. It is ideal for developers looking to integrate advanced tool functionalities into their applications.
This tool serves as a Model Context Protocol (MCP) server designed for intelligent task management and workflow tracking. It is ideal for developers looking to integrate structured task orchestration and evaluation metrics into their AI assistant applications.
This repository provides a framework for integrating the Model Context Protocol with Playwright for automated testing and interaction. It is designed for developers looking to enhance their testing capabilities with AI-driven context management.
This tool provides an AI-powered assistant for model-based software engineering, transforming UML diagrams into production-ready code. It is designed for software engineers looking to enhance their development process with automated code generation and analysis.
MoneyMoney Automator is an AI-powered tool that categorizes transactions for the MoneyMoney finance application on macOS. It is designed for users looking to streamline their financial management through intelligent automation.
Monitoring Spirit is a CLI tool that generates work reports based on your git commit history using AI. It is designed for developers and teams looking to summarize their contributions in a readable format.
Monobank MCP Server is a Node.js/TypeScript server that exposes personal accounts, statements, and public UAH exchange rates as Model Context Protocol tools. It is designed for developers looking to integrate Monobank functionalities into their applications.
Moodle Scraper is an AI-powered tool designed to extract courses, assignments, and reports from Moodle. It is ideal for educators and developers looking to automate data retrieval from the Moodle platform.
Muckwire is an autonomous research agent designed to run locally on a Mac, capable of planning, fetching, synthesizing, and citing information overnight. It is ideal for investigative journalists and researchers looking for a cost-effective solution with real source attribution.
This tool serves as an MCP server for managing multiple PostgreSQL databases, allowing for efficient project isolation and configuration. It is designed for developers looking to integrate AI clients with PostgreSQL databases seamlessly.
This Python-based application showcases the development of intelligent agentic systems without relying on orchestration frameworks. It is ideal for developers looking to explore multi-agent architectures using OpenAI's GPT-4o model and Streamlit.
This multi-agent AI application assists users in understanding legal documents through intelligent analysis. It is designed for individuals seeking clarity in legal language and documentation.
Multi-Agent AI Swarm is an experimental framework designed for orchestrating collaborative software development through intelligent agent swarms. It is ideal for developers looking to enhance their distributed workflows with real-time visualization tools.
Multi-Agent AKS is a modular framework for deploying multi-agent AI systems using FastAPI on Azure Kubernetes Service. It is designed for developers looking to build extensible AI solutions for document processing, task planning, and research.
Multi-Agent Analytics is a hierarchical multi-agent business intelligence platform designed for complex analytical queries across enterprise domains. It is ideal for developers and data analysts looking to leverage Google ADK, FastAPI, and React for advanced data insights.
The Multi-Agent Avatar Accelerator provides a framework for building and managing multiple AI agents using Semantic Kernel. It is designed for developers looking to create sophisticated AI applications with multiple interacting agents.
This project provides a framework for Agent-to-Agent communication, allowing multiple local LLM agents to collaborate on tasks. It is designed for developers looking to implement multi-agent systems in their applications.
This application facilitates collaboration among multiple AI agents using AWS Bedrock and Pinecone. It is designed for developers looking to build and manage AI-driven collaborative environments.
This tool simulates a conversational AI interaction between a high school student and a math tutor, focusing on quadratic equations. It is designed for educators and developers interested in leveraging AI for educational purposes.
This repository showcases a multi-agent customer support system utilizing Google ADK and A2A protocol. It is designed for developers looking to implement agent orchestration and deployment in customer service applications.
This platform leverages multi-agent orchestration and OpenAI models to analyze documents, extracting key insights such as summaries and action items. It is designed for developers and organizations looking to enhance their document processing capabilities with AI-driven solutions.
This repository provides examples related to multi-agent conversations using CrewAI and AutoGen. It is ideal for developers looking to understand and implement multi-agent systems in their applications.
This workshop provides a comprehensive guide to building production-ready multi-agent generative AI applications using Amazon Bedrock. It is ideal for developers and teams looking to leverage advanced AI capabilities in their projects.
This platform serves as a professional-grade equity research assistant that converts natural-language inquiries into detailed investment briefings. It is designed for financial analysts and investors seeking rapid, data-driven insights into market opportunities.
This tool orchestrates multiple agents to create a campaign planner based on provided KPIs, utilizing insights from historical data in Google BigQuery. It is designed for marketers seeking to achieve targeted KPIs efficiently using the Google ADK framework.
Multi-Agent LLM is a framework designed for document-specific question answering, summarization, and query orchestration. It is ideal for developers looking to build multi-agent systems leveraging large language models for enhanced document interaction.
This framework allows users to build and orchestrate multi-agent AI systems, facilitating intelligent collaboration and adaptive workflows. It is designed for developers and researchers interested in leveraging various AI tools for complex agent interactions.
The Multi-Agent Orchestration Framework (MAOF) provides a unified architecture for integrating and managing multiple AI agents from various providers. It is designed for developers looking to orchestrate AI functionalities seamlessly across different platforms.
This repository provides orchestration patterns for multi-agent systems using LangGraph, enabling complex interactions and workflows. It is ideal for developers looking to implement advanced multi-agent architectures in their applications.
Multi-Agent Orchestration System is designed to facilitate the coordination of multiple AI agents. It is ideal for developers looking to build complex agent-based applications.
This tool provides a modular system of AI-powered agents built with n8n to automate executive tasks such as scheduling, emailing, and information retrieval. It is ideal for users looking to streamline their workflows through automation.
This tool provides a TypeScript-based multi-agent research pipeline utilizing Google's Agent Development Kit. It is designed for researchers and developers looking to orchestrate complex workflows with multiple agents.
This tool enables YAML-driven orchestration of multiple AI agents, facilitating cross-pollination among various AI providers. It is designed for developers looking to integrate and manage AI agents seamlessly.