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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 ORCHESTRATION
Our autonomous meta-agent coordinates complex workflows between first- and third-party agents using hierarchical planning, continuous self-improvement, and ...
Build and manage AI agents code-free with Workato Genie. Dynamically orchestrate workflows and take actions in any app or system. ... The Agentic Orchestration Platform On their own, LLMs lack enterprise context. They can’t …
# Glean An MCP server implementation that integrates the Glean API, providing the Search and Chat functions. ## Tools - **Search**: List of search results given a query - **Chat**: Q&A with Chatbot ### Usage with Claude Desktop Build the docker image: \`\`\`bash docker build -t glean-server:latest -f src/glean/Dockerfile . \`\`\` Then add this to your \`claude_desktop_config.json\`: \`\`\` \{
Download now The UiPath Platform™ covers The UiPath Platform™ covers Discover the UiPath Platform™ UiPath Platform™ Explore now See all our product offerings: All UiPath Products All UiPath Products Live Watch the replay All industries All departments Technology solutions overview Read more See all resources See all events Automation done right. See how in our Gallery of Customer Achievement. Le
Mojo AI Agent Platform is a cloud-based agent orchestration software For Enterprises to build and deploy conversational agents that understand human emotions.
Chat Real-time Analysis Analysis Real-time Reports Vision Analysis Charts Chat Prompt Engineering Style Telegram Vision Prompt Analysis Generation Creative Chat Creative Generation Multi-lingual Context-aware Anthropic, OpenRouter, OpenAi, DeepSeek, Replicate Claude 3.5 Sonnet, Claude 3.5 Haiku, Google Flash 1.5, GPT-4o, GPT-4 vision, Deep-Seek 3.0, Dalle-3, Flux.Dev, Ideogram-v2 Unlock the power
Multi-AI Agent Orchestration intelligent, context-aware AI agents that autonomously read, understand, and execute tasks on your behalf SyncIQ Business Value Beyond Proof-of-Concepts Transformative AI Solutions Insights Privacy Policy Drive Unparalleled Efficiency and Accelerated Growth - Leverage Coordinated AI Agents to Automate Complex Business Processes Seamlessly integrate swarms of AI agents
Blog Book a Demo Secure • Private • Compliant Book a Demo Security at Every Layer: Therix prioritizes your data's safety above all else. Our multi-layered security protocols ensure that all your data transactions and AI operations are protected against both external threats and internal vulnerabilities. Experience enterprise-grade safety that you can trust. Guided Onboarding Process: Transition to
Cookie Policy Preferences Platform How it works Why Workato Pricing Enterprise iPaaS Workflow Bots App Connectors Low Code Apps Data Orchestration B2B/EDI API Management Process Insights Data Hub / MDM Copilots Workato Agentic IT Genie AI workflows Embedded integrations Embedded Case Study Solutions Salesforce Slack Marketo NetSuite ServiceNow Workday IT Finance Support HR Marketing Sales Revenue
# ch.at - Universal Basic Intelligence A lightweight language model chat service accessible through HTTP, SSH, DNS, and API. One binary, no JavaScript, no tracking. ## Usage \`\`\`bash # Web (no JavaScript) open https://ch.at # Terminal curl ch.at/?q=hello # Streams response with curl's default buffering curl -N ch.at/?q=hello # Streams response without buffering (smoother
# MCP-Handle by 低温宝 ](https://www.mcp-handle.com/docs) ](https://www.mcp-handle.com) --- ## Why MCP-Handle - **Orchestrate agent tooling** with Strata, our progressive MCP router that keeps function calling under control. - **Run more than one hundred first-party MCP servers** (OAuth-ready where it matters) straight from the repository. - **Instrument an
](https://discord.com/invite/Z723PfCFWf) ](https://x.com/Bytez) ](https://discord.com/invite/Z723PfCFWf) ](https://www.npmjs.com/package/bytez.js) ](https://colab.research.google.com/drive/1oZ4_yQoryL9a3CCLiY29JpEI1L5uwqO-?authuser=1#scrollTo=3LRTz2egUNh7&uniqifier=3) # Bytez — The Unified Platform for AI Models & Papers Welcome to Bytez. We make it easy to discover and understand AI pape
Kuwa GenAI OS An open, free, secure, and privacy-focused Generative-AI Orchestrating System. --> Key Features • Architecture • Installation Guide • Community • Acknowledgements • License ## Key Features * Multi-lingual turnkey solution for GenAI use, development and deployment on Wi
| | ----------------- # Agentica: 构建 AI 智能体 ](https://badge.fury.io/py/agentica) ](https://pepy.tech/project/agentica) ](LICENSE) ](requirements.txt) ](https://mseep.ai/app/shibing624-agentica) ](https://github.com/shibing624/agentica/issues) ](#%E7%A4%BE%E5%8C%BA%E4%B8%8E%E6%94%AF%E6%8C%81) **Agentica 是一个轻量级、功能强大的 Python 框架，用于构建、管理和部署自主 AI 智能体。** 无论您是想创建一个简单的聊天机器人、一个复杂的研究助理，还
# Parrot: Efficient Serving of LLM-based Application with Semantic Variable | | | > This repo is currently a research prototype and is not actively maintained. Please open issue or contact the authors when you need help. Parrot is a distributed, multi-tenant serving system for **LLM-based Applications**. With the Semantic Variable abstraction, Parrot can easily grasp the **app-level inform
waggledance.ai ](https://discord.gg/ttt9YmhQU6) ](https://github.com/agi-merge/waggle-dance) Features | Roadmap | ️Contribute | Run Locally | Open Core ## Quick Start - ](https://waggledance.ai) Try the cloud preview ↗ - - ⭐️ Help with algorithm: star this repo You can also build and deploy yourself! However, . - Deploy to Vercel - - **waggledance.ai** is an experiment
RAG SaaS Ship RAG solutions quickly A end to end SaaS Solution for Retrieval-Augmented Generation (RAG) and Agentic based applications. Features · Tech Stack · Getting Started · Deployment · Roadmap Features Demo Video Basic Authentication
# Tig An automonous AI coding agent that runs in the terminal. Similar to Claude Code, OpenAI Codex etc. but works with many more LLMs. It can: - Write code - Fix bugs - Execute shell commands - Write tests - Analyze codebase and many more... All within the terminal! Full tutorial series on how to build it from scratch ](https://www.youtube.com/watch?v=cgGWTjk1VLg) ### Modes It has
# Multi Modal LLM Powered Captcha Solver This project provides a solution for automatically solving various types of CAPTCHAs using a multi-modal Large Language Model (LLM). It leverages the capabilities of Google's Vertex AI and a custom set of agents to interpret and solve CAPTCHA challenges. ## Features - Identification of whether an image is a CAPTCHA. - Determination of CAPTCHA type (tex
# Crypto Trader Bot with AI algo (ver. 1.05) In 2017, I started trading, thinking I would become the next Warren Buffett. I made hundreds in profit but then gave most of it back when the bear market hit. Clearly, I was not cut out for trading! I can now turn my trading ideas into working code in just a few minutes, backtest them to see if they actually work, and confidently launch them for live tr
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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?