15350 listings found(showing 13851-13900)
Agent Mesh is a dynamic multi-agent orchestration system that allows users to create, configure, and connect AI agents through an interactive visual builder. It is designed for developers and teams looking to streamline workflows and enhance automation with AI agents.
Agent Office is a 2D Pokemon-style multi-agent orchestration desktop application designed for users looking to manage multiple agents in a fun and engaging environment. It is ideal for developers and enthusiasts interested in exploring agent-based systems and orchestration techniques.
This repository provides examples for various Agent Orchestration Patterns published by Microsoft Semantic Kernel. It is ideal for developers looking to understand and implement these patterns in their applications.
Agent P is a Sequential Multi-agent orchestration and Context Engineering toolkit designed for Claude Code and OpenCode. It is ideal for developers looking to implement custom workflows and enhance agent capabilities.
Agent SDK provides a runtime interception framework for AI agent governance, enabling synchronous policy enforcement during tool calls. It is designed for developers looking to integrate governance into their AI agent workflows.
This repository provides a benchmark framework for evaluating defenses against Indirect Prompt Injection in tool-using LLM agents. It is designed for researchers and developers looking to enhance the security of AI systems.
Agent Swarm Eval Arena provides a real-time environment for multi-agent reinforcement learning, supporting over 1000 concurrent agents. It is designed for researchers and developers looking to evaluate and enhance agent performance in complex scenarios.
Agent Swarm Intelligence enables AI-powered coordination among multiple agents on the Solana blockchain. It is designed for developers looking to implement decentralized multi-agent systems.
Agent Swarm OS is a multi-workspace manager designed for Claude Code Multi-Agent Teams and Swarms. It is ideal for developers looking to manage multiple agents efficiently in a local environment.
Agent Swarm Protocol is a peer-to-peer communication framework designed for decentralized agent collaboration. It is ideal for developers looking to implement master-master swarm architectures in their applications.
Agent Team is a production-ready framework designed for coordinating multi-agent swarms, making it ideal for developers working on complex AI systems. It provides robust tools for managing agent interactions and workflows, enhancing the capabilities of AI applications.
This tool integrates Agentforce to enhance the Opportunities page in Salesforce with relevant win stories. It is designed for Salesforce users looking to improve their sales processes with contextual information.
Agent Workflow is a framework for developing intelligent agents and workflows based on Langflow, Langchain, and Langgraph. It is designed for developers looking to build and manage complex agent-based systems.
AgentCore Agents provides a framework for exploring AWS Bedrock and Strands Agents, enabling developers to build and deploy AI agents. This tool is ideal for AI developers looking to leverage AWS services for agent-based applications.
AgentForge provides a comprehensive guide and collection of examples for building AI agents using modern frameworks. It is ideal for developers looking to learn through hands-on examples and practical implementations.
AgentGate is an open-source platform designed for deploying AI agents while enabling monetization through Stripe. It is ideal for developers looking to create self-hostable AI solutions using Python and TypeScript SDKs.
This repository offers a collection of agentic AI applications and prototypes designed to demonstrate how AI agents can collaborate and perform complex workflows. It is ideal for developers and researchers interested in exploring multi-agent orchestration using frameworks like LangChain and LangGraph.
This repository provides hands-on demos that showcase workflows using the AutoGen Framework with local LLMs via Ollama. It is ideal for developers and researchers looking to understand and implement multi-agent and multimodal AI systems.
Agentic AI Bot is a complete AI Agent Chatbot system that leverages FastAPI, LangGraph, LangChain, and Streamlit for dynamic interactions with AI models. It is designed for developers looking to implement advanced chatbot functionalities in their applications.
Agentic AI Chatbot is a modular framework designed for dynamic interaction with various LLM providers. It is ideal for developers looking to integrate AI chat capabilities into their applications using popular tools like LangGraph and LangChain.
Agentic AI for Research is an end-to-end automated academic research pipeline that leverages Large Language Models and modular workflow automation. It is designed to assist students, researchers, and innovators by significantly reducing the time and expertise needed to produce high-quality research outputs.
Agentic AI Fraud Investigator automates end-to-end fraud analysis using multi-agent orchestration and explainable risk scoring. It is designed for digital financial platforms looking to enhance their fraud investigation processes with modern AI workflows.
This series provides a practical exploration of large language models and multi-agent systems through hands-on notebooks. It is designed for learners and practitioners interested in AI and agent technologies.
Agentic AI is a multi-agent framework that facilitates A2A communication and intelligent report generation. It is designed for developers looking to implement complex agent interactions using AWS technologies.
This platform is designed to autonomously manage and resolve infrastructure incidents using AI, significantly reducing manual workloads and resolution times. It is ideal for organizations looking to enhance their operational efficiency through intelligent automation.
Agentic AI Stock Analyzer is a modular system designed to query and analyze stock prices using live APIs and multi-agent orchestration. It is ideal for developers looking to leverage the Microsoft Agent Framework for financial data analysis.
This repository provides a complete Agentic AI system utilizing n8n workflows, LanceDB, and Cognee for enhanced automation and validation. It is designed for developers looking to implement AI-driven workflows in their applications.
Agentic AI Workflows is a curated library designed to help users build modular AI agent workflows with features like autonomous reasoning loops and multi-step automation. It is ideal for developers looking to create powerful, real-world applications using AI agents.
This repository provides resources for the LinkedIn Learning course on building agentic applications using LlamaIndex and MCP. It is designed for learners looking to enhance their skills in AI application development.
Agentic Commerce implements the x402 payment protocol in .NET, allowing AI agents to make micropayments using USDC for API access. This tool is designed for developers looking to integrate payment capabilities into their AI applications.
Agentic Commerce Skills provides over 60 AI-driven capabilities for optimizing Shopify catalogs, including auditing and fixing issues. This tool is ideal for e-commerce professionals looking to enhance their online store's performance using AI agents.
Agentic CRM Agent Flow offers AI-powered workflow automation for intelligent customer relationship management. It is designed for businesses looking to enhance their CRM processes through multi-agent orchestration.
Agentic CTI is a lightweight implementation for ad-hoc threat intelligence using smolagents on top of OpenCTI. It is designed for security professionals looking to enhance their threat intelligence capabilities with a flexible agent-based approach.
This repository provides 28 agentic design pattern skills tailored for use with Gemini CLI, Antigravity, and Claude Code. It is ideal for developers looking to enhance their AI agents with diverse language support including English, Korean, Japanese, and Chinese.
Agentic Docflow is a dynamic AI pipeline that processes PDFs and Excel files in real time using multi-agent orchestration. It is designed for users looking to automate document processing tasks efficiently.
This intelligent email assistant utilizes Agentic AI to autonomously manage your inbox by reading, classifying, and replying to important messages. It is designed for users seeking to enhance their email efficiency and organization.
Agentic Evaluation Team is a framework for managing a multi-agent system that collaborates on text data labeling quality. It is designed for data evaluation companies looking to enhance their labeling processes through agent collaboration.
Agentic File Query is an AI-powered document search tool that utilizes Google ADK and Gemini to scan, reason, and follow cross-references for enhanced retrieval. It is designed for users seeking advanced document search capabilities in their local file systems.
This tool is an AI-powered browser automation agent that autonomously completes web forms using Amazon Bedrock models and Playwright. It is designed for developers looking to implement intelligent form-filling capabilities in their applications.
This tool facilitates market research by leveraging the Olostep framework and OpenAI Agents SDK. It is designed for researchers and developers looking to automate data collection and analysis from web sources.
Agentic Mesh is a self-optimizing multi-agent AI system that routes tasks to specialized AI agents with features like auto-verification and self-correction. It is designed for developers and organizations looking to leverage AWS for building advanced AI solutions.
Agentic RAG is an advanced multi-hop retrieval-augmented generation system designed for complex AI tasks. It is ideal for developers looking to integrate various tools like ChatGPT and MLflow into their applications.
This repository provides a Jupyter Notebook demonstrating the implementation of agentic Retrieval-Augmented Generation (RAG) using ApertureDB and SmolAgents. It is ideal for developers and researchers looking to explore advanced AI techniques in a practical setting.
Agentic Reasoning Lab enables the development of reasoning-driven systems through multi-agent orchestration and context grounding. It is designed for AI product managers and developers looking to build reliable AI solutions.
Agentic Repo is a collection of tools and libraries designed to facilitate the development of AI agents. It is ideal for developers looking to leverage frameworks like Langchain and Crewai in their projects.
This repository demonstrates how to build a modern Spring Boot web application that integrates with Semantic Kernel agents. It is designed for developers looking to leverage AI capabilities in their Java applications.
Agentic Swarm is an open-source framework designed for developing autonomous agentic swarms that can navigate complex real-world environments. It is ideal for developers and researchers interested in robotics and autonomous systems.
Agentic System integrates Autogen and Semantic Kernel to provide a framework for building AI agents. It is designed for developers looking to create and manage AI functionalities in their applications.
This tool demonstrates a Clinical Decision Support System utilizing OpenAI's Agentic SDK for knowledge extraction, analysis, and report generation. It is designed for developers and researchers looking to implement AI-driven decision support in clinical settings.
AgentLens is an open-source observability platform designed for AI agents, enabling real-time tracing of LLM calls, tool usage, and decision-making. It is ideal for developers looking to monitor and enhance the performance of their AI systems without dependencies.