15350 listings found(showing 8551-8600)
MulitaMiner is a tool designed to extract and process vulnerabilities from security PDF reports using Large Language Models. It is ideal for security professionals and researchers looking to automate the analysis of security documents.
Multea is a terminal-based multi-agent orchestrator designed for running AI coding agents across multiple repositories. It is ideal for developers looking to streamline their coding processes with AI-powered coordination and task scheduling.
Multi Bark Pack is a versatile framework designed for creating AI agent swarms across multiple platforms and backends. It is ideal for developers looking to build and deploy distributed AI systems efficiently.
This multi-agent AI system facilitates real estate property searches and appointment bookings, leveraging advanced technologies like LangGraph and OpenAI GPT-5. It is designed for real estate professionals looking to enhance their property management and client engagement processes.
This tool serves as an intelligent self-study platform that connects to Google Classroom and Teams, extracting lecture content to create interactive study aids. It is designed for educators and students seeking to enhance learning through automated summarization, quiz generation, and AI tutoring.
This tool utilizes a team of specialized AI agents to perform thorough code reviews, identifying bugs, security vulnerabilities, and quality issues. It is designed for developers seeking to enhance their code quality through automated reviews.
This hierarchical multi-agent customer support system leverages LangGraph and Groq LLM to provide autonomous agent teams for various tasks such as analysis, research, and quality review. It is designed for developers and organizations looking to implement advanced AI-driven customer support solutions.
This open-source framework enables a multi-agent internet research application where AI agents collaborate to gather, refine, and write insights quickly. It is ideal for developers looking to leverage AI for efficient information processing and content creation.
This tool serves as a multi-agent job assistant that helps users with job searches, resume analysis, cover letter generation, and company research. It is designed for job seekers looking for a comprehensive solution to streamline their job application process.
Multi-Agent Orchestrator System (MOS) is a real-time monitoring and management system designed for multi-agent environments. It is ideal for developers looking to orchestrate and manage multiple agents across various platforms.
This project guides you through building a simple multi-agent system using LangChain and LangGraph, culminating in a web application deployment. It's ideal for developers looking to gain hands-on experience with Agentic AI concepts and modern deployment practices.
This tool enables the orchestration of multiple agents to generate sourced Markdown research reports. It is designed for researchers and developers looking to automate and enhance their research processes using AI agents.
This tool is an autonomous multi-agent system that orchestrates collaborative agents to gather information and generate research reports. It is designed for developers and researchers looking to automate and visualize their research workflows.
This tool implements a Multi-Agent Research RAG (Retriever-Augmented Generation) system, providing a framework for building AI agents. It is designed for developers looking to leverage LangGraph for advanced AI agent capabilities.
Multi-Agent SRE is a production-grade platform designed for managing multiple autonomous agents in site reliability engineering. It is ideal for organizations looking to optimize their SRE processes with intelligent model routing and governance features.
This project showcases a multi-agent system that automates the analysis of Apple stock's daily closing prices using AI agents. It is ideal for developers and analysts interested in leveraging collaborative AI for financial data analysis.
This project showcases a multi-agent chatbot system that intelligently routes user queries to specialized agents. It is designed for developers looking to implement advanced conversational AI using LangGraph and Azure OpenAI GPT-4.
This repository provides a framework for building modern AI agents using Google's open-source ADK, enabling the development of both single-agent and multi-agent systems. It is ideal for developers looking to create sophisticated AI applications with shared session states and orchestrated pipelines.
This tool provides a Multi-Modal Agentic RAG pipeline for processing unstructured documents with tables, charts, and images. It is designed for developers and data scientists looking to enhance their applications with advanced indexing and reasoning capabilities.
Multi-Modal Researcher is a multi-agent AI deep researcher that leverages LangGraph and Gemini-2.5 models for advanced research capabilities. It is designed for developers and researchers looking to enhance their AI-driven research processes.
This tool provides a multi-platform product design agent skill for various workflows including Pencil MCP, VS Code, and Claude Code. It is ideal for developers and designers looking to streamline their product design processes across different platforms.
This workshop provides hands-on experience with multiagent systems using Pydantic AI, aimed at participants of PyDay Barcelona 2025. It is designed for developers and enthusiasts looking to enhance their skills in building AI-driven applications.
This project showcases a multimodal conversational AI agent capable of voice and image interactions through a web interface. It is ideal for developers interested in integrating advanced AI functionalities into user-friendly applications.
This framework allows users to run multiple AI agents on a single A2A server, enhancing efficiency and resource utilization. It is ideal for developers looking to streamline their AI agent deployments in a local environment.
This tool provides a comprehensive AI network lab for multivendor environments, featuring an orchestrator and various evaluation tools. It is designed for network engineers and AI practitioners looking to enhance their network management and security capabilities.
This repository offers a collection of impressive LLM applications that utilize AI agents and retrieval-augmented generation (RAG) techniques. It is ideal for developers and researchers looking to explore various implementations using OpenAI, Anthropic, Gemini, and open-source models.
This is a comprehensive AI Agent workflow platform designed for N8N, focusing on automating content creation and intelligent research coordination. It transforms complex business requirements into automation workflows that can be imported with one click, particularly excelling in the automation of the Chinese content market.
n8nSync is an innovative application that enhances workflow automation through natural conversation. It is designed for users looking to create, manage, and optimize complex workflows effortlessly using AI agents and the n8n platform.
Nan LLM Bridge is a local HTTP proxy that enhances resilience for OpenAI-compatible clients by implementing features like retry, recovery, and rate-limiting. It is designed for developers looking to improve the reliability of their AI integrations with OpenAI-compatible upstreams.
NeoCoder is an AI-native engineering agent designed to assist with enterprise-scale codebases. It is ideal for developers looking to enhance their coding efficiency and streamline workflows using AI technology.
Neohive enables seamless communication between AI agents, facilitating collaboration across various platforms. It is designed for developers looking to enhance their AI workflows and agent interactions.
This AI agent utilizes DSPy to autonomously manage Solana and EVM wallets and facilitate token transfers through natural language commands. It is designed for users seeking a no-code solution for cryptocurrency management without the need for hardcoded logic.
Nooon is a lightweight MCP server designed to enhance the Notion experience. It is ideal for developers looking to integrate and extend Notion's capabilities with custom solutions.
Notebook Hot Reload is a VS Code extension that automatically reloads Jupyter notebooks when .ipynb files change on disk. It is essential for developers using AI agents like Claude Code and Cursor in their workflows.
This server allows users to manipulate blocks and toggles within Notion using the MCP framework. It is designed for developers looking to enhance their Notion experience with custom integrations.
This guide provides step-by-step instructions for setting up Notion MCP with Cursor IDE. It is ideal for developers looking to integrate Notion into their projects effectively.
Odoo MCP Server provides a robust platform for AI agents, enabling integration with N8N and other tools. It is designed for developers looking to enhance their AI workflows with Odoo's capabilities.
Oh My Copilot is a teams-first multi-agent orchestration tool designed for Microsoft Copilot CLI. It enables users to automate and manage multiple agents efficiently, making it ideal for teams looking to enhance their productivity with AI-driven solutions.
This repository provides simple C# examples demonstrating how to use tool-calling and MCP with local LLMs running on Ollama. It is ideal for developers looking to integrate AI capabilities into their C# applications.
OmniShop Agent is an autonomous multi-modal fashion shopping assistant that leverages LangGraph and the ReAct pattern. It is designed for users looking to enhance their online shopping experience through intelligent automation.
OneAgent is a config-driven multi-agent CLI that provides a unified interface for various AI agents including Claude, Codex, and more. It is designed for developers and AI enthusiasts looking to streamline their interactions with multiple AI systems through a single command line tool.
OneTool Pi is a powerful MCP bridge that integrates over 100 tools, enabling seamless interactions with various platforms. It is designed for developers looking to enhance their coding experience with a versatile set of utilities.
Open Analysis Agent is a research framework designed for high energy physics analysis, specifically tailored for CERN's CMS experiment. It provides a comprehensive set of tools and workflows for researchers in the field, enabling efficient data analysis and integration with various physics software.
Open LLM Apps is a modern AI toolkit designed for experimenting with free large language models. It provides a playground for building AI applications using zero-cost tools, ideal for developers and researchers interested in AI experimentation.
This tool connects Open WebUI to external n8n workflows, enabling seamless communication between user inputs and AI agents. It is designed for developers looking to integrate AI capabilities into their n8n automation processes.
This tool provides a visual representation of the OpenAI Agent SDK, helping developers understand and utilize the SDK effectively. It is designed for developers looking to enhance their experience with OpenAI's agent capabilities through visualization.
This repository provides OpenAPI 3.1 documentation files designed for integrating various services with GPT custom actions. It is ideal for developers looking to enhance their applications with AI capabilities using standardized API specifications.
OpenClaw is a multi-agent orchestration framework designed for solo founders to manage multiple agents efficiently. It provides a structured approach to governance and coordination, making it ideal for individual entrepreneurs looking to leverage AI agents.
OpenCode Docs is a powerful MCP server designed for scraping, storing, and searching documentation locally. It is ideal for developers and teams looking to enhance their documentation management with features like smart content detection and recursive crawling.
OpenMark is a personal knowledge graph that indexes bookmarks, LinkedIn saves, and YouTube videos using advanced embedding techniques. It is designed for individuals looking to manage and retrieve their personal knowledge efficiently.