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# A2Z Perplexity Agent (MCP) 一个基于 MCP (Model Context Protocol) 的 Perplexity AI 搜索 Agent，提供强大的网络搜索和信息查询能力。 ## 功能特性 - 实时网络搜索 - 多轮对话支持 - 完整响应（包含引用和元数据） - 基于 MCP 协议，易于集成 ## 安装 ### 使用 pip \`\`\`bash pip install -r requirements.txt \`\`\` ### 使用 Poetry \`\`\`bash poetry install \`\`\` ## 配置 ### 环境变量（可选） 如果未设置环境变量，将使用默认的 API key。 \`\`\`bash export PERPLEXITY_API_KEY="your_api_key_here" \`
# GitHub MCP Server The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions. ### Use Cases - Repository Management: Browse and query code, search files, analyze commits, and understan
This AI Agent can do complicated programming work for humans
Ryze AI is an AI copilot for performance marketing that runs paid media across search, social and shopping. It audits accounts, cleans search terms, optimizes bids and budgets, tests creatives, and generates clear performance reports across Google Ads, Meta and more. Read case studies https://www.get-ryze.ai/ Read more on https://www.get-ryze.ai/
# Fortune Compass Agent An AI-powered fortune telling divination Agent (ChatGPT App/MCP) that integrates traditional **Tarot**, **Zhouyi (I Ching)**, and **Guangong Oracle** into a unified digital experience. The agent performs real-world drawing logic (shuffling and orientation) and uses LLM intelligence to interpret the results. Deploy at and Live URL --- ## Divination Methods
# OpenClaw — Personal AI Assistant EXFOLIATE! EXFOLIATE! **OpenClaw** is a _personal AI assistant_ you run on your own devices. It answers you on the channels you already use (WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, iMessage, Microsoft Teams, WebChat), plus extension channels like BlueBubbles, Matrix, Zalo, a
MseeP.ai Security Assessment Special thanks to Warp, the AI terminal for developers # Playwright MCP Server ](https://smithery.ai/server/@executeautomation/playwright-mcp-server) A Model Context Protocol server that provides browser automation capabilities using Playwr
# Deep Research ## Quickstart **Prerequisites**: Install package manager: \`\`\`bash curl -LsSf https://astral.sh/uv/install.sh | sh \`\`\` Ensure you are in the \`deep_research\` directory: \`\`\`bash cd examples/deep_research \`\`\` Install packages: \`\`\`bash uv sync \`\`\` Set your API keys in your environment: \`\`\`bash export ANTHROPIC_API_KEY=your_anthr
# omni-doc-assistant-agent Omni Doc Converter Agent PDF,Images,Docx,PPtX ## Description Help users to convert input files from one format to others. For example, convert a pdf file to several jpeg images. Supported documents including pdf, xlsx, docx,pptx,jpeg,png,jpg,etc.
## LangChain DeepAgents x AI Agent A2Z Deploy LangChain Examples Live | | | This guide shows how to convert a **LangChain DeepAgents** content-builder-agent into a production-ready live service using \`BaseLiveRuntime\` from ai-agent-marketplace The runtime wraps your agent and exposes a **FastAPI streaming \`/chat\` endpoint** automatically. ## QuickStart \`\`\` from ai_agent_ma
](https://pypi.org/project/excel-mcp-server/) ](https://pepy.tech/project/excel-mcp-server) ](https://opensource.org/licenses/MIT) ](https://smithery.ai/server/@haris-musa/excel-mcp-server) ](https://cursor.com/install-mcp?name=excel-mcp-server&config=eyJjb21tYW5kIjoidXZ4IGV4Y2VsLW1jcC1zZXJ2ZXIgc3RkaW8ifQ%3D%3D) A Model Context Protocol (MCP) server that lets you manipulate Excel files with
This AI Agent can do complicated programming work for humans
## Playwright MCP A Model Context Protocol (MCP) server that provides browser automation capabilities using . This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models. ### Key Features - **Fast and lightweight**. Uses Playwright's accessibility tree, not pixel-based input. - **LLM-friendly**. No v
## What This Example Demonstrates This example shows a **DeepResearch Agent** implementation using the AgentScope framework. The DeepResearch Agent specializes in performing multi-step research to collect and integrate information from multiple sources, and generates comprehensive reports to solve complex tasks. ## Prerequisites - Python 3.10 or higher - Node.js and npm (for the MCP server
# MCP Registry The MCP registry provides MCP clients with a list of MCP servers, like an app store for MCP servers. **** ## Development Status > [!WARNING] > The registry is under . The registry API spec is unstable and the official MCP registry database may be wiped at any time. **2025-09-04 update**: We're targeting a 'preview' go-live on 8th September. This may still be unsta
AI AGENT EMPLOYEE
Agency raises $2.6M Enterprise Contact Us Accept From the team behind AgentOps, Agency helps teams create reliable AI agents at scale. AgentOps is the industry leading agent observability platform. Browse 400+ AI agents working in production. We help everyone from startups to enterprise build agents at scale. AI agents are the next major paradigm shift in computing. We bring them to life. We've pe
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"Every organization will have a constellation of agents." Free Agents. Microsoft is releasing a suite of autonomous AI models — or "agents" — that can serve as virtual employees for its customers.
AI Agents answer phones, chat & text website & social media visitors, schedule appointments, make sales, get REAL reviews, & more! Home; About Us; Services; ... will share their screen if needed and get your AI Agent Employees up and running. We'll also help you connect your social media accounts if needed, and get you started quickly!
My Forms Templates Form Templates Card Form Templates App Templates Store Builder Templates Table Templates Workflow Templates PDF Templates Sign Templates AI Agent Templates Integrations Microsoft Teams PayPal Slack Google Sheets Mailchimp Zoom Dropbox Google Calendar Salesforce Canva See more Salesforce Hubspot Zoho CRM Active Campaign Pipedrive Zendesk Insightly Keap EngageBay See more Google D
Employee engagement is a cornerstone of organizational success, influencing productivity, retention, and overall workplace satisfaction. Yet, measuring and enhancing engagement can be challenging without the right tools. Enter Employee Engagement AI Agents, which leverage artificial intelligence to streamline the process of understanding, monitoring, …
AI AGENT
By taking over repetitive and time-consuming tasks, AI agents significantly alleviate employee workloads, reducing the risk of burnout and promoting a healthier work-life …
AI AGENT
Explore AI agents in HR! Discover capabilities, applications, implementation and benefits for enhanced workforce management. The Hackett Group Announces Strategic Acquisition of …
From a practical perspective, delegating the hiring process entirely to HR agents accelerates the average hiring time. Nevertheless, 85% of Americans are concerned about businesses using AI in their hiring process. Most of their doubts stem from a lack of trust in businesses and their practices.
# ️ AgentEvals give an LLM freedom over control flow in order to solve problems. While this freedom can be extremely powerful, the black box nature of LLMs can make it difficult to understand how changes in one part of your agent will affect others downstream. This makes evaluating your agents especially important. This package contains a collection of evaluators and utilities for evaluating th
# Model-Written Evaluation Datasets This repository includes datasets written by language models, used in our paper on "Discovering Language Model Behaviors with Model-Written Evaluations." We intend the datasets to be useful to: 1. Those who are interested in understanding the quality and properties of model-generated data 2. Those who wish to use our datasets to evaluate other models for the b
# Machine Learning GenAI Interview Preparation Guide ## Contents - - - - - - - - - - - - - - - - - - - - - - - - ## Strategic Overview This comprehensive THREE month preparation framework is designed for Machine Learning Engineers, ML Scientists, and Applied/Data Scientists aiming to excel in technical interviews. The structured
# How to use Anthropic MCP Server with open LLMs, OpenAI or Google Gemini This repository contains a basic example of how to build an AI agent using the Model Context Protocol (MCP) with an open LLM (Meta Llama 3), OpenAI or Google Gemini, and a SQLite database. It's designed to be a simple, educational demonstration, not a production-ready framework. OpenAI example: https://github.com/jalr4ever
# GraphRAG Workshops This repository contains two GraphRAG workshops: **Talent** and **Customers+Products**. Each workshop provides notebooks, data, and resources for hands-on exercises. ## Workshops 1. **** Combine both structured and unstructured data about employees and their technical skills into a knowledge graph. Perform graph pattern matching, vector search, and graph analytics to fin
Saleor Apps The central space for Saleor Apps, Integrations and Marketplace. Website • Docs • Blog • Twitter • Discord Apps Quickstart • ️ Propose an app ## Overview This repository serves as a starting point in the exploration of Saleor apps. > _Saleor apps are separate applications that use GraphQL to talk to the Saleor server and rec
Toolkit for using self-hosted large language models (LLMs), but also with support for full-service such as OpenAI's GPT models. Includes demos with RAG ("chat your documents") and AGI/AutoGPT/privateGPT-style capabilities, via streamlit, Discord, command line, etc. There are some helper functions for common LLM tasks, such as those provided by projects such as langchain, but not meant to be a
# RushDB ### Developer‑first property‑centric graph store RushDB lets you push raw JSON/CSV, auto-normalize it into a labeled meta property graph, and query records, schema, relationships, values, vectors and aggregations through one JSON search interface. No upfront schema design, no new query language to learn. RushDB transforms how you work with graph data — no schema required, no complex
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大家在使用可灵AI生成视频的时候遇到了哪些好的体验和有问题的体验？请务必写明prompt输入文本和视频截图or短视频clip
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大家在使用抖音的即梦AI生成视频的时候遇到了哪些好的体验和有问题的体验？请务必写明prompt输入文本和视频截图or短视频clip
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大家在使用快手(Kuaishou Kwai)短视频的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用小红书(Xiaohongshu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用微信(WeChat)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用微信(WeChat)APP的AI问答功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用知乎(Zhihu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用京东(JD)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用淘宝(Taobao)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用支付宝(Alipay)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用拼多多(PPD Temu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用知乎直答(Zhihu)AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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大家在使用知乎直答(Zhihu)AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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大家在使用快手(Kuaishou)的AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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大家在使用抖音(Douyin Tiktok)的AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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We are witnessing great success in recent development of generative Artificial Intelligence in many fields, such as AI assistant, Chatbot, AI Writer. Among all the AI native products, AI Search Engine such as Perplexity, Gemini and SearchGPT are most attrative to website owners, bloggers and web content publishers. AI Search Engine is a new tool to provide answers directly to users' questions (queries). In this blog, we will give some brief introduction to basic concepts of AI Search Engine, including Large Language Models (LLM), Retrieval-Augmented Generation(RAG), Citations and Sources. Then we will highlight some majors differences between traditional Search Engine Optimization (SEO) and Generative Engine Optimization(GEO). And then we will cover some latest research and strategies to help website owners or content publishers to better optimize their content in Generative AI Search Engines.
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We are seeing more applications of robotaxi and self-driving vehicles worldwide. Many large companies such as Waymo, Tesla and Baidu are accelerating their speed of robotaxi deployment in multiple cities. Some human drivers especially cab drivers worry that they will lose their jobs due to AI. They argue that the lower operating cost and AI can work technically 24 hours a day without any rest like human will have more competing advantage than humans. What do you think?