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  • GETTING STARTED
    • Welcome
    • Developing on SwarmZero
    • Quickstart
    • Key Concepts
      • AI
      • ML
      • LLM
      • AI Agents
      • Swarms
    • Contributing to SwarmZero
  • SDK
    • Agent Kit
    • Agent API Schema
    • Observability
      • Langtrace
      • OpenLIT
      • AgentOps
  • EXAMPLES
    • AI Agents
      • Build a Dune Agent with SwarmZero.ai
      • Build a News Agent with SwarmZero.ai using the GDELT API
      • Build a Uniswap Docs Retrieval Agent with SwarmZero.ai
      • Build an AAVE AI Agent to Lend and Borrow Crypto
      • Build & Monitor a Web Search Agent
      • Build a Multi-Chain Crypto Trading Telegram Bot with SwarmZero, Bitquery and DEXRabbit
    • Swarms
      • AI Researcher Swarm
      • Build a Web3 dApp with a Swarm of AI Agents
      • Livepeer Youtube Video Generator Swarm
    • Tools
      • Tools for Building Agents with Livepeer
      • Tools for Building Agents with Dune
      • YouTube Video Editor & Upload Tools
      • File Operations Tools
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  • What Can You Develop with SwarmZero.ai?
  • Where to Start?

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  1. GETTING STARTED

Developing on SwarmZero

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Last updated 7 months ago

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By utilizing the features and components of SwarmZero.ai, developers can efficiently build, deploy, and manage AI agents, models, and research projects in a decentralized and collaborative environment.

What Can You Develop with SwarmZero.ai?

AI Agents with SwarmZero.ai

  • User-Friendly: Simplify creating an agent with the intuitive Agent Builder, making setup quick and easy.

  • Monetization Options: Set up pricing and usage plans to monetize your agent effectively.

  • No-Code Platform: Build and customize your agents using the No-Code UI, eliminating the need for extensive coding knowledge.

  • Efficient Setup: The Agent Builder provides a streamlined workflow for configuring and deploying your agent with minimal effort.

  • Enhanced Functionality: Easily integrate ML models, APIs, and other tools to expand your agent's capabilities.

  • Comprehensive Support: Use our HiveAgent Kit which supports popular LLMs such as OpenAI, MistralAI, Anthropic, and others, to build robust and versatile agents. Hive-Agent Client Library is a class designed to interact with the HiveAgent.

Connecting Multiple Agents

  • Connect More ML Models: Enhance your agent's capabilities by integrating additional machine learning models from the Model Hub.

  • API Integration: Expand your agent's functionality by connecting various APIs, enabling it to interact with different data sources and services.

  • Upload Knowledge Files: Improve your agent's performance by uploading and incorporating knowledge files relevant to its tasks.

  • Embed Other Agents: Increase your agent's versatility by embedding other agents, allowing for more complex and multifaceted operations.

  • Custom Workflows: Create custom workflows by combining different models, APIs, and agents, tailoring your agent to meet specific needs and objectives.

Chat with Agents

  • Versatile Commands: Communicate your requirements directly to the agent, whether it's sending transactions, generating code, or other tasks.

  • Trading Charts: Instruct agents to generate detailed trading charts for cryptocurrencies and stocks, aiding in data analysis and decision-making.

  • Data Analysis: Using agents to analyze complex crypto and stock market data provides valuable insights and trends.

  • Task Automation: Automate routine tasks such as sending transactions and executing predefined operations, enhancing efficiency.

  • Multi-functional Support: Leverage agents for various functions, from simple queries to complex data processing and code generation.

  • Collaborative Agents: Combine multiple agents into a Swarm to work together seamlessly, enhancing their collective capabilities.

  • Complex Workflows: Design and implement intricate workflows by leveraging the specialized functions of different agents within a Swarm.

  • Scalability: Scale your operations efficiently by distributing tasks among various agents in a Swarm, ensuring optimized performance.

  • Task Coordination: Coordinate tasks between agents in a Swarm to achieve comprehensive solutions for complex problems, ensuring each agent plays a specific role.

Where to Start?

Know the basics and create your first AI agent.

Create AI agents and explore advanced usecases.

Agent Kit & Agent API Schema

QuickStart

Examples

SDK

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