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This AI Agent can do complicated programming work for humans
# 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
# 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
### Craftsman Agent Craftsman Agent is an AI assistant that transforms your text prompts into 3D builds — from LEGO sets and Minecraft worlds to figurines and modular designs. Get detailed, step-by-step assembly charts and bring your ideas to life, faster and smarter than ever.
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/
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
## 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
# 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" \`
## Quickstart Deployment Python MCP Streamable Http Server on AI Agent A2Z | | | ### Introduction This server implement one tool \`greeting\` and one resource \`index\` (html in assets folder) in a mcp.streamable_http_app() at "/mcp" endpoint ### Locally \`\`\`commandline pnpm install pnpm build pnpm start \`\`\` ### Test Local MCP Connection http://127.0.0.1:8000/mcp
# 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
# 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
## 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
## Quickstart Deployment Python MCP Streamable Http Server on AI Agent A2Z ### Introduction This server implement two tools \`add\` \`greeting\` in a mcp.streamable_http_app() at "/mcp" endpoint ### Locally \`\`\`commandline cd quickstart/mcp_python uvicorn server:app \`\`\` ## Test Local MCP Connection http://127.0.0.1:8000/mcp ### Deployment 1. Create AI Service at 2. Go
# 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
Emblem AI is crypto wallet infrastructure for AI agents, enabling secure multi-chain transactions, token swaps, and DeFi interactions. Supports 7 blockchains (Solana, Ethereum, Polygon, etc.) with 256+ tools.
ORCHESTRATING AGENTS
](https://pypi.org/project/ansible-core) ](https://docs.ansible.com/ansible/latest/) ](https://docs.ansible.com/ansible/devel/community/communication.html) ](https://dev.azure.com/ansible/ansible/_build/latest?definitionId=20&branchName=devel) ](https://docs.ansible.com/ansible/devel/community/code_of_conduct.html) ](https://docs.ansible.com/ansible/devel/community/communication.html#mailing-list-
Multi-Agent Orchestrator Search GitHub Select theme Looking for details on Amazon Bedrock’s multi-agent collaboration capability announced during Matt Garman's keynote at re:Invent 2024? Quick Installation How it works Code Samples & Deployment Powerful Agents New New New New Looking for details on Amazon Bedrock’s multi-agent collaboration capability announced during Matt Garman's keynote at re:I
The Open-Source AgentOS Join our growing community of over 20,000 agent builders Build production-ready multi-agent systems in minutes, not months. Github Discord Create specialized agents that work together seamlessly. AG2 makes it easy to define roles, configure behaviors, and orchestrate collaboration - all through simple, intuitive code. → Assistant agents for problem-solving → Executor agents
A: CrewAI is a cutting-edge framework for orchestrating role-playing, autonomous AI agents. It enables agents to work together seamlessly, tackling complex ...
Teneo.AI Open menu Platform Platform Solutions Solutions Developers Developers Learning Hub Learning Hub Partners Partners About Us About Us Contact Contact AI Agent Teneo for Automotive Industry Make Your AI Agents the Smartest 2025 © TENEO.AI ALL RIGHTS RESERVED Unify LLM orchestration, scalable AI agents and enterprise AI solutions into one seamless platform. Teneo empowers adaptive AI to
# AWS MCP Server ](https://smithery.ai/server/mcp-server-aws) A server implementation for AWS operations that currently supports S3 and DynamoDB services. All operations are automatically logged and can be accessed through the \`audit://aws-operations\` resource endpoint. See a demo video . Listed as a within the MCP servers repository. ## Running locally with the Claude desktop app
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Orchestrating the Agent Experience. How technology can help by augmenting it to provide a sound CX. Just as a symphony's harmony is only as strong as its ...
Agent training is a great use case for AI applications. They can help agents upskill in less time and more effectively than with other learning tools. AI is ...
In the newly revised second edition of Age of Invisible Machines, renowned tech leader Robb Wilson delivers a startlingly insightful and eye-opening blueprint ...
* * * $11.5M * * * [.873] [.542] [.285] [.557] [.013] [.801] [.798] [.117]️ [.070] [.833] [.984] [.342] [.330] [.103] [.004] [.400] [.087] [.707] [.212] [.616] [.206][.505] [.043] [.245] [.273] [.143] [.095] [.891] [.104] [.784] [.805] [.505] [.891] [.820] [.034] [.381]️ [.679] [.034] [.810] [.707] [.642] [.660] [.790] [.081]️ [.445] [.810] [.322] [.381]️ [.817] [.353] [.663] [.027] [.452] [.045]
Designed with orchestration at it's core, AgentKit enables developers to build, test, and deploy reliable AI applications at scale. With AgentKit, you get: ✨ ...
@step def load_rag_documents dict # Load and chunk documents for RAG pipeline "https://www.zenml.io/" return "chunks" @step(experiment_tracker="mlflow") experiment_tracker="mlflow" "mlflow" def generate_embeddings data: dict dict None # Generate embeddings for RAG pipeline 'chunks' return "embeddings" @step( settings={"resources": ResourceSettings(memory="2Gi") }, settings={"resources": ResourceS
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Topics About API Docs Contribute Toggle theme Toggle theme Search... ⌘ Orchestrating Agents: Routines and Handoffs Ilan Bigio(OpenAI) (OpenAI) Oct 10, 2024 Open in Github from openai import OpenAI from openai import OpenAI from pydantic import BaseModel from pydantic import BaseModel from typing import Optional from typing import Optional import json import json client = OpenAI() client = OpenAI
OpenAI Agents SDK Orchestrating multiple agents Intro Quickstart Documentation Agents Running agents Results Streaming Tools Handoffs Tracing Context management Guardrails Orchestrating multiple agents Orchestrating multiple agents Orchestrating via LLM Orchestrating via code Models Configuring the SDK API Reference Agents Agents module Agents Runner Tools Results Streaming events Handoffs
2025年1月24日 — AI Agent Orchestration refers to coordinating multiple AI agents within a unified system to ensure the performance of each AI agent within their ...
AG2 Orchestrating agents Home User Guide Basic Concepts Installing AG2 LLM Configuration Conversable Agent Human In The Loop Orchestrating Agents Orchestrations Sequential Chat Nested Chat Swarm Ending A Chat Tools Advanced Concepts Model Providers Reference Agents API References Contributor Guide FAQs Ecosystem 2 weeks ago2025-02-26 2 weeks ago 2 weeks ago 2025-02-26 Previous Next
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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?