15350 listings found(showing 12501-12550)
This tool provides an implementation of the Agent-to-Agent (A2A) Protocol for LangGraph agents, facilitating communication between agents. It is designed for developers looking to enhance their agent-based applications with seamless inter-agent interactions.
This tool provides AI-powered agents that operate continuously across SMS, calls, and email to book and qualify leads. It is designed for businesses looking to enhance their CRM capabilities with real-time analytics and automation.
AG402 enables AI agents to process payments seamlessly using the x402 protocol without any code changes. It is designed for developers looking to enhance their AI applications with payment capabilities.
Agent Docs provides reusable, low-token instructions for AI agents designed for IDEs like Cursor. This resource is ideal for developers looking to enhance their coding environments with AI capabilities.
This repository provides a comprehensive deep dive into the Agent Framework, including Semantic Kernel and AutoGen. It is designed for developers and AI enthusiasts looking to understand these technologies in detail during their public preview.
Agent Generator allows users to create production-ready multi-agent AI projects using plain English. It is designed for developers looking to streamline the development of AI applications with built-in verification and a user-friendly interface.
The Agent RAG Protocol provides a framework for integrating Retrieval-Augmented Generation (RAG) into AI agents. It is designed for developers looking to enhance their agents with advanced retrieval capabilities.
Agent Seed is a self-evolving AI assistant starter kit designed for developers looking to create personal assistants. It supports various LLM agents and is particularly useful for those interested in building customizable AI solutions.
This repository provides a collection of agent skills specifically designed for Swift development, integrating with the Cursor plugin marketplace. It is ideal for developers looking to enhance their Swift applications with advanced agent capabilities.
Agent-Native Repository Tool is a Go CLI utility that transforms standard Git repositories into optimized codebases for AI coding assistants. It is designed for developers looking to enhance their coding experience with AI tools like Cursor and Claude.
AgentCore Tools provide AI agents with the capability to autonomously deploy, manage, and monitor themselves on AWS Bedrock. This tool is ideal for developers looking to enhance the operational efficiency of AI agents in cloud environments.
AgentGOD OSS provides hierarchical multi-agent orchestration specifically designed for Cursor IDE, allowing a single commander to manage multiple specialists efficiently. This tool is ideal for developers looking to enhance their coding environment with advanced orchestration capabilities.
Agentic AI Labs provides a comprehensive exploration of various agentic AI technologies, including Azure AI Foundry and Microsoft Agent Framework. This resource is ideal for developers and researchers looking to deepen their understanding of AI agents and related tools.
Agentic Framework provides progressive AI agent patterns in C# for building various agent applications, from console chat to multi-agent orchestration. It is ideal for developers looking to implement advanced AI functionalities with a focus on observability and database management.
This repository showcases the use of Model Context Protocol (MCP) server tools across various agent frameworks. It is designed for developers and researchers interested in exploring agentic capabilities and evaluations using MCP.
This repository provides a framework for implementing Retrieval-Augmented Generation (RAG) using LangChain and LangGraph, specifically tailored for financial data. It is designed for developers and data scientists looking to enhance their applications with advanced data retrieval capabilities.
Agents is a collection of innovative AI agent implementations using LangGraph, featuring various advanced techniques such as ReAct and RAG. This repository is ideal for developers looking to explore multi-AI agent systems and enhance their chatbot capabilities.
This repository provides essential patterns and components for building modular Agentic AI systems, including a full RAG pipeline. It is ideal for developers looking to implement advanced communication protocols in their AI projects.
AgriIR is a configurable retrieval-augmented generation framework designed for domain-specific knowledge retrieval in agriculture. It is ideal for researchers and developers looking to implement advanced information retrieval techniques in agricultural contexts.
This repository contains practical code examples following a tutorial on RAG and AI agents using the LangChain framework. It is designed for learners interested in implementing retrieval-augmented generation techniques with AI models.
AI Agent Memory provides persistent memory capabilities for AI coding agents, utilizing the Karpathy LLM Wiki pattern. It is designed for developers looking to enhance their coding experience with tools like GitHub Copilot, Claude Code, Codex, and Cursor.
AI Agent Team is a demonstration project for creating AI agents using AutoGen.Net. It is ideal for developers looking to explore AI agent capabilities and build their own agent teams.
AI API allows developers to build ChatGPT plugins using simple Python functions. It is designed for developers looking to enhance their applications with AI capabilities.
AI Architect combines Google Search, AutoGPT, Langchain, and Streamlit to create a powerful tool for building AI applications. It is designed for developers looking to leverage AI capabilities in their projects.
This Neovim plugin enhances your coding experience by integrating AI assistance through ChatGPT. It is designed for developers who use Neovim and want to leverage AI capabilities directly in their coding environment.
AI Codebase Expert is a tool designed to assist developers in solving tasks and fixing bugs within large codebases. It leverages GPT-4 and LangChain agents to effectively search through project documentation and code, making it ideal for software development teams.
AI Connect enables seamless remote collaboration between two Claude Code instances running in VSCode extensions. This tool is ideal for developers looking to enhance their coding experience through synchronized environments across different computers.
AI Context Hierarchy provides a structured three-level context system for AI coding agents, enhancing their ability to understand and navigate complex codebases. It is ideal for developers looking to streamline their coding sessions and improve agent interactions with their projects.
AI Context Kit is a utility designed to lint, measure, and manage context files for AI coding agents. It is ideal for developers looking to streamline their workflow with various AI tools and context management.
This tool facilitates distributed multi-agent orchestration for social media campaign generation using the A2A protocol and Vertex AI. It is designed for developers looking to implement automated task management and agent-to-agent communication in their applications.
AI Exploration is a versatile tool designed for developing AI agents and image generation applications. It is ideal for researchers and developers looking to experiment with various AI techniques and frameworks.
This tool provides atomic multi-file changes with rollback capabilities for AI agents, enhancing their editing processes. It is designed for developers working with Claude Code, Codex CLI, and Cursor agents who need reliable file management features.
This tool provides a full-stack solution for drafting and sending emails using React and Semantic Kernel. It is designed for developers looking to integrate email capabilities with advanced AI features in their applications.
This template provides an example of an AI-powered task management system, showcasing how to integrate AI capabilities into task management workflows. It is designed for developers looking to build low-code applications using AI technologies.
AI Tools Insight leverages large language models to analyze popular AI tools and generate valuable commercial insights. This resource is ideal for professionals looking to understand the AI landscape and make informed decisions based on data-driven analysis.
This tool is a hybrid AI documentation scraping system that combines bulk and on-demand scraping capabilities with a vector database for enhanced search functionality. It is designed for developers seeking ultra-fast and cost-effective documentation search solutions.
AI/ML Lab is a comprehensive collection of practical AI and machine learning projects, including LLM applications and RAG systems. It is designed for developers and researchers looking to explore and implement various AI techniques and experiments.
AIDD Flow provides a structured, IDE-agnostic implementation of an AI-Driven Development workflow, focusing on orchestration, checkpoints, and auditability. It is designed for developers looking to integrate various LLM-based agents into their development processes.
AIraoke Pinokio transforms lyric transcriptions into karaoke-style MP4 videos, making it a fun tool for karaoke enthusiasts. It utilizes advanced technologies like Whisper for transcription and Demucs for vocal separation, appealing to users looking for creative karaoke solutions.
Alive URL Scan is an AI-powered platform that analyzes URLs for potential threats using automation and browser operations. It is designed for security professionals and organizations looking to enhance their brand protection and threat intelligence capabilities.
This repository provides examples of using Hugging Face's smolagents and LiteLLM with Amazon Bedrock's language models. It is designed for developers looking to implement agent-based interactions and direct model access using these libraries.
This repository provides a comparative analysis of Langchain and Semantic Kernel, aimed at developers and data scientists. It serves as a resource for understanding the strengths and weaknesses of these two frameworks in AI applications.
Aperio provides a self-hosted memory layer for AI agents, ensuring that no information is forgotten. It is ideal for developers looking to integrate memory capabilities into their AI applications using PostgreSQL and related technologies.
Apex Manager is an independent multi-agent orchestrator that manages parallel AI Worker agents across terminal sessions. It is designed for developers and AI practitioners looking to streamline their workflows with multiple agents.
Arcade Tools enables users to leverage LLMs for interacting with their Obsidian Vault contents. This tool is ideal for individuals looking to enhance their note-taking and knowledge management experience using AI capabilities.
Argentic is a backend-agnostic framework designed for building AI agents with retrieval-augmented generation (RAG) capabilities. It is ideal for developers looking to create versatile AI solutions across various platforms.
Ask Akka Agent is an AI agent designed to perform a Retrieval-Augmented Generation (RAG) workflow using the Akka SDK. It is ideal for developers looking to implement advanced AI functionalities in their applications.
Ask Elira Trader utilizes five AI agents and swarm intelligence to predict binary outcomes across various domains such as sports, politics, and markets. This tool is ideal for users interested in algorithmic trading and automated predictions.
This tool allows users to upload PDFs and ask questions, providing answers with source references. It is designed for individuals seeking an AI-powered Q&A solution with source transparency.
This tool provides a lightweight, framework-free solution for building augmented LLM agents. It is designed for developers looking to integrate LLM capabilities into their applications without the overhead of a full framework.