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  7. Fetch.ai
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Fetch.ai

Fetch.ai: Build AI apps and services on an open platform, leveraging multi-agent systems, Agentverse, and AI Engine for autonomous orchestration.

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Introduction

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Information

  • Publisher
    Jeremy Xiao
  • Websitefetch.ai
  • Published date2025/03/05

Categories

  • Web3
  • General Purpose
  • Productivity

Tags

  • platform
  • open source

More Products

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    • image of Agent Frank
    Digital WorkerSalesMarketingProductivityAI Agent Builder
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    Agent Frank

    Details

    Agent Frank is an AI SDR agent that automates prospecting, emailing, and meeting booking, augmenting sales teams for increased pipeline generation.

    paidplatformchatbot
    image of Assista AI
    Digital WorkerProductivityWork FlowMarketingSalesPersonal Assistant
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    Assista AI

    Details

    Assista AI Agents automate repetitive tasks across 80+ apps, saving users 4.7 hours daily with no coding required.

    platformfree&paidfreepaid
    image of Black Screen Online
    General PurposeDesignProductivity
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    Black Screen Online

    Details

    Black Screen Online provides a customizable, full-screen black display for monitor testing, creative projects, and distraction-free environments.

    freeimageplatform

    Fetch.ai Platform

    Fetch.ai provides an open platform for building AI applications and services, focusing on multi-agent systems and autonomous AI orchestration.

    Key Features:

    • Multi-Agent Systems (uAgents): Develop AI agents using the universal Agents library (uAgents), enabling communication capabilities for AI agents developed with frameworks like Langchain and CrewAI.
    • Agentverse: Deploy and make AI Agents discoverable using the Agentverse platform. Host agents in the cloud or use the mailbox feature for offline agents. Add semantic descriptors for marketplace discoverability.
    • AI Engine: Autonomously orchestrate AI Agents using the AI Engine, powered by LLMs and AI/ML techniques. Dynamically select, assemble, and execute AI Agents to fulfill user objectives.
    • Infrastructure: Modular tech stack for building multi-agent systems powered by LLMs and AI/ML, including tools to build, test, deploy, run, assemble, chain, search, and discover agents.

    Use Cases:

    • Building AI-powered applications with communication capabilities.
    • Deploying and hosting AI Agents in a discoverable marketplace.
    • Automating AI Agent orchestration for various user objectives.
    • Creating AI Agents from scratch using LLMs, AI/ML models, API calls, and custom business logic.