15350 listings found(showing 8751-8800)
This plugin integrates the WeChat Official Account API with the Dify platform, enabling users to manage materials, drafts, and publish messages seamlessly. It is ideal for developers looking to enhance their applications with WeChat functionalities.
Wiii is a multi-domain agentic RAG platform that integrates FastAPI, LangGraph, and various databases for efficient data handling. It is designed for developers and researchers looking to build advanced AI applications leveraging multiple technologies.
Wired Al is an AI onboarding copilot that utilizes retrieval-augmented generation (RAG) and machine learning operations (MLflow) to streamline the onboarding process. It is designed for developers and teams looking to enhance their onboarding experience with intelligent automation and support.
WisdomForge is a powerful knowledge management system that forges wisdom from experiences, insights, and best practices. It is designed for users seeking efficient knowledge storage and retrieval using advanced vector database technology.
This repository provides comprehensive materials for a workshop focused on Semantic Kernel, Kernel Memory, and Microsoft Extensions AI. It is ideal for developers and AI enthusiasts looking to deepen their understanding of these advanced concepts.
This Dify plugin is designed as a Python client based on WPS AirScript 2.0, enabling seamless read/write operations for online smart spreadsheets. It is perfect for users looking to integrate Dify with WPS for efficient data interaction and workflow automation.
WSL Assistant provides a fully auto-configured, self-hosted local AI and database stack tailored for Debian WSL2 environments. It is designed for developers and data scientists looking to leverage AI capabilities in a local setup without extensive configuration.
X Customer Support Chatbot is an NLP-powered tool designed to provide context-aware responses to customer queries on Twitter/X. It is ideal for businesses looking to enhance their customer support experience through automated interactions.
Xenslate is a lightweight, AI-based real-time translator that instantly converts your typing text into any desired language using a local LLM. It is ideal for users who need seamless translation across various applications without the need for an internet connection.
XMind MCP Server allows AI clients to read and write local XMind mind map files seamlessly. It is designed for developers looking to integrate mind mapping capabilities into their applications using the Model Context Protocol.
This connector enables seamless integration of Yandex AI with Microsoft Semantic Kernel, allowing users to leverage Yandex's capabilities within their applications. It is designed for developers looking to enhance their projects with advanced AI functionalities.
Yandex Search MCP is an unofficial Model Context Protocol server that allows AI assistants to perform web searches using Yandex. It is designed for developers looking to integrate reliable browser automation into their AI applications.
This AI agent autonomously creates YouTube content using LangGraph, streamlining the content generation process. It is designed for content creators looking to leverage AI for efficient video production.
Zep Memory Assistant is an AI agent designed to mimic human-like memory using advanced technologies like Zep and AutoGen. It is ideal for developers looking to implement memory capabilities in their AI applications.
ZervGen is a terminal-first multi-agent orchestration tool designed for developers looking to manage multiple agents efficiently. It provides a flexible framework for building and deploying agent-based applications in a streamlined manner.
Zugzwang is a scientific framework designed to push general-purpose LLMs to their limits in chess without fine-tuning or specialized models. It is ideal for researchers and developers interested in exploring inference-time techniques and multi-agent orchestration in AI-driven chess performance.
This repository provides a structured 100-day curriculum for aspiring AI Agent Engineers, covering essential topics such as Python, APIs, and Generative AI. It is ideal for learners seeking practical experience through daily coding tasks and projects.
10x Analyst is a multi-agent plugin designed for end-to-end data analysis automation, offering features like profiling, cleaning, visualization, dashboards, and reporting. It is ideal for data analysts and teams looking to streamline their data workflows with advanced automation capabilities.
This course provides a comprehensive guide to developing AI agents using Google's Agent Development Kit (ADK). It is ideal for developers and enthusiasts looking to build intelligent agents with Gemini models and integrate Google Search functionalities.
This open-source A2A proxy server facilitates communication for AWS Bedrock AgentCore agents. It is designed for developers looking to integrate AWS services with their AI agent workflows.
AdaRAG is an intelligent e-commerce support agent that utilizes adaptive routing to manage customer inquiries effectively. It is designed for e-commerce businesses looking to enhance their customer support with AI-driven solutions.
ADK Gemini Agents is a framework for building powerful, collaborative AI agents that can automate complex tasks and integrate smart tools. It is designed for developers looking to create multi-agent systems leveraging Google's ADK and Gemini model.
Agent Approval Gate is a production-ready approval-gate pattern for AI agents, enabling processes like drafting, validating, approving, dispatching, and auditing. It is designed for developers looking to implement structured approval workflows in their AI applications.
Agent Blueprint allows users to orchestrate AI agents declaratively using YAML, generating code for various frameworks like LangGraph and CrewAI. This tool is ideal for developers looking to streamline their AI agent development process with a framework-agnostic approach.
Agent Crucible is a multi-agent orchestration system designed for Claude Code, enabling multiple workers to collaborate in isolated environments. It is ideal for developers looking to implement adversarial review processes for code verification and repair.
Agent Flow is a plugin that transforms Claude into a multi-agent orchestrated system, featuring specialized agents and verification gates. It is designed for developers looking to enhance their AI workflows with automated orchestration capabilities.
Agent Forge provides comprehensive resources and code for learning about various AI agent frameworks and implementations. It is ideal for developers and enthusiasts looking to deepen their understanding of AI agents through practical examples and coursework.
Agent Fortress provides runtime protection, threat detection, and security monitoring specifically designed for AI agents. It is ideal for developers and organizations looking to secure their LLM agents across various programming languages.
Agent Initializr helps developers scaffold scalable AI agent backends using JavaScript/TypeScript with NestJS and LangGraph. It provides a production-ready backend that can be used as-is or customized with specific business logic.
Agent Memory Store provides lightweight persistent memory for AI agents, enabling easy integration with minimal setup. It is ideal for developers looking to enhance their agents with privacy controls and audit logging features.
This platform enables users to orchestrate autonomous AI agents across remote virtual machines, allowing for parallel task execution. It is ideal for users looking to enhance productivity by automating complex tasks while they focus on other activities.
Agent OS is a spec-driven agentic development system that facilitates structured workflows and coding standards for building quality software. It is designed for developers looking to implement multi-agent orchestration in their projects.
Agent Paper Distiller is an intelligent AI paper reading assistant that utilizes Multi-Agent collaboration for enhanced reading capabilities. It is designed for researchers and students looking to streamline their academic reading and analysis processes.
Agent Validator is a production-quality demo showcasing agentic AI systems with multi-agent orchestration and browser automation. It is designed for developers looking to explore and implement advanced AI agent capabilities using LangGraph and Slack integration.
AgentFlow allows users to create and manage intelligent agent workflows through configuration files, streamlining task automation. It is designed for developers looking to enhance their automation processes with intelligent agents.
This course provides a comprehensive implementation of LLM-powered agents using Hugging Face and LangChain. It is designed for learners interested in exploring advanced AI techniques and real-world deployment workflows.
This project provides a production-grade framework for building secure Agentic AI systems using AWS Cognito JWT authentication. It is designed for developers looking to implement automated deployment and observability in their AI applications.
This project is an end-to-end AI system designed to serve as a Trip Planner powered by AI agents with tools and real-time data. It is built in a modular coding setup, incorporates LangGraph, and is designed for production deployment with LLMOps practices.
This repository provides comprehensive course materials and a Python package for teaching LangGraph-based AI agents. It is designed for bachelor's and master's students who are learning to implement AI agents with proper software architecture.
This hybrid RAG system integrates vector search with knowledge graphs, leveraging Pydantic AI agents and FastAPI. It is designed for developers looking to build advanced AI applications using PostgreSQL and Neo4j.
This tool is a multi-agent retrieval-augmented generation system designed for academic paper question and answer tasks. It combines various retrieval techniques and structured PDF parsing to assist researchers and students in understanding academic content.
Agentic SaaS provides reference architecture patterns for building multi-tenant solutions that automate workflows. It is designed for developers looking to leverage Amazon Bedrock AgentCore and AWS Strands SDK for enterprise applications.
AgentMD is an LLM-powered assistant designed to help users find top doctors by specialty and city while providing tailored answers to medical queries. It is ideal for patients seeking reliable healthcare information and reviews.
This n8n community node enables AI agents to handle payments and escrow transactions using the AGIRAILS ACTP protocol. It is ideal for developers looking to integrate payment functionalities into their n8n workflows.
Agnostic Tool Builder is a versatile tool that allows users to define AI/LLM functions once and utilize them across various AI providers. It is designed for developers looking to streamline their integration with multiple AI platforms.
This tool automates deep company research by performing intelligent web crawling and generating structured PDF reports. It is designed for researchers and professionals seeking to streamline their data collection and reporting processes with minimal manual effort.
This tool is a LangChain agent designed to integrate with existing DevOps microservices, enabling intelligent reasoning on pipeline logs and Jenkinsfile generation. It is ideal for DevOps teams looking to automate and enhance their CI/CD processes.
The AI Agent Guidebook provides comprehensive guides for utilizing AI coding assistants like Claude Code, GitHub Copilot, and Gemini CLI. It is designed for developers seeking to enhance their skills in AI integration and orchestration.
AI Agent Orchestrator is a sophisticated system for generating articles and blog posts using a multi-agent architecture. It is designed for content creators seeking to automate and optimize their writing processes, including SEO and compliance checks.
The AI Agent Playbook is a comprehensive study project featuring 31 examples across 12 different frameworks. It is designed for developers and researchers looking to deepen their understanding of AI agents and their implementations.