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AI AGENT
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AI Agent Marketplace and Directory helps to list all AI Agents in Various Industry and Applications, such as Autonomous Agent, GUI Agent, Productivity Agent. You can find your desired AI Agents by using the AI Agent search engine also.

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test-agent-register/my-first-ai-coding-agent

This AI Agent can do complicated programming work for humans

derekzz/fortune-compass-agent
1000 credits/1k calls 0.0 USD /1k calls

# 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

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/

executeautomation/mcp-playwright

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

microsoft/playwright-mcp

## 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

craftsman-agent/craftsman-agent
10000 credits/1k calls 130.0 USD /1k calls

### 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.

# 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

aiagenta2z/omni-doc-assistant-agent

# 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-ai/content-builder-agent

## 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

haris-musa/excel-mcp-server

](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

test-agtm-registry/my-first-ai-coding-agent
0 credits/1k calls

This AI Agent can do complicated programming work for humans

deploy-helper/fortune-compass-agent

## This is a helper account of AI Agent Deployment

## 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

truthstack1/truthstack-mcp

# 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.

AI AGENT MEMORY

# Add a chat message to the graph await "Jane" "user" "I can't log in!" # Add business data to the graph await type "json" "account_status" "suspended" # get memory relevant to the current conversation "session_id" print """FACTS and ENTITIES represent relevant context to the current conversation.# These are the most relevant facts and their valid date ranges# format: FACT (Date range: from -

Connect with us Artificial Intelligence 1 year ago February 26, 2024 Kunal Kejriwal The advent of Multimodal Large Language Models (MLLM) has ushered in a new era of mobile device agents, capable of understanding and interacting with the world through text, images, and voice. These agents mark a significant advancement over traditional AI, providing a richer and more intuitive way

While Vector DBs are quite performant for Generative AI/ conversational agents, they are insufficient for memory management of complex agentic AI tasks.

Sign up Sign in Write Sign up Sign in · · Follow publication All the latest news and updates on the rapidly evolving field of Generative AI space. From cutting-edge research and developments in LLMs, text-to-image generators, to real-world applications, and the impact of generative AI on various industries. Follow publication Jes Fink-Jensen·Follow · · Follow Published inGenerative AI·6 min read·

AI Memory refers to the ability of artificial intelligence systems to store, retrieve, and utilize information over time to enhance their performance.

Search Search ⌘K Introduction to SuperAGI A dev-first open source autonomous AI agent framework enabling developers to build, manage & run useful autonomous agents. You can run concurrent agents seamlessly, extend agent capabilities with tools. The agents efficiently perform a variety of tasks and continually improve their performance with each subsequent run.

AI Agent的记忆分类 结合CoALA框架,我们按照信息的内容,将信息组织进Agent的多个记忆模块,包括 短期工作记忆和三种长期记忆:情景记忆、语义 ...

Dive into the architecture of autonomous AI agents, examining how Profile, Memory, Planning, and Action components work in harmony to create intelligent systems. Discover how these core elements enable agents to learn, adapt, and execute complex tasks while maintaining purposeful behavior

Memory In Context Of LangGraph And AI Agent. In LangGraph, you can think of memory from two main perspectives: 1. Thread scoped memory / Short term memory. 2. Cross session / Cross thread memory / Long term memory. 1. Thread Scoped Memory or Short term Memory. This store information or data of a single chat session between human and an AI agent.

Unlocking the Power of Agent Memory in AI. Enter persistent memory, also known as agent memory, a game-changing technology that allows AI to retain and recall information across extended periods. This revolutionary capability propels AI from rigid, session-based interactions to dynamic, memory-driven learning, enabling more personalized ...

Memory enables AI agents to store and retrieve information as needed for various tasks. Sensory memory : This is the initial stage of memory, akin to human sensory perception. It allows LLMs to retain sensory impressions—whether visual, auditory, or tactile—for a brief period after the initial stimuli have ceased.

AI memory management is a cornerstone for creating intelligent, predictive, and engaging agents. Memory allows AI to move beyond simple question-and-answer exchanges, providing sophisticated, context-aware interactions. By effectively managing memory, AI agents can learn from past interactions and adapt to user

Build multi-modal Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.

Reliable LLM Memory for AI Applications and AI Agents

BaseAI — The Web AI Framework. The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic …

MemoryCache is an experimental development project to turn a local desktop environment into an on-device AI agent

Tooling to build LLM applications: prompt templating and composition, agents, LLM memory, and other instruments for builders of AI applic…

A memory framework for Large Language Models and Agents.

AI agent with social relationship managing, sophisticated memory, and character development.

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