The SWARM (by SLAMai)
  • Meet "The SWARM"
    • Mission & Vision
    • Origin Story
    • A Self-Sustaining, Autonomous AI Agent
    • The SWARM Ecosystem
  • Features
    • RAG Data Retrieval
      • CryptoSlam & SLAMagent
    • System Architecture
    • The SWARM in Action
  • $SWARM
    • Utility
    • Tokenomics
    • Contract Address
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  1. Features

System Architecture

SLAMai Infrastructure Overview

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Last updated 29 days ago

The SWARM is an advanced system that utilizes SLAMai, a modular AI-powered infrastructure integrating LangGraph, ReAct agents, and custom AI models to process and enrich blockchain-related queries. This architecture enables structured, validated, and enriched responses by combining AI with blockchain-specific agents, ensuring high-quality insights and interactions.

System Architecture

The SWARM operates on a robust AI-driven framework divided into two key components:

  1. LangGraph-Based Processing – Manages prompt enrichment, validation, and agent-based query resolution.

  2. User Flow – Defines how users interact with The SWARM via terminal access or AI-driven agents.

LangGraph-Based Processing

LangGraph serves as the core framework that structures The SWARM's AI workflows. When a user submits a query, it is processed through multiple layers before producing a final, refined response:

  • Supervisor Node – The central controller that manages interactions with multiple ReAct agents.

  • ReAct Agents – Specialized AI components that process data based on different data domains:

    • CryptoSlam NFT Agent: Handles NFT-related queries, providing insights on ownership, transactions, and market trends.

    • EVM Agent: Focuses on Ethereum-based smart contract interactions, transactions, and event decoding.

    • Other Agents: Additional AI agents can be introduced to extend functionality.

  • Prompt Enricher – Enhances the original user prompt by incorporating relevant data from ReAct agents.

  • Validation Step – Ensures the prompt is correctly formatted and contains sufficient information before execution.

  • Response Generation – After validation, the system finalizes the enriched query and prepares it for output.

User Flow

The SWARM is designed for an intuitive and efficient user experience:

  1. A user submits a blockchain-related query through an application utilizing The SWARM.

  2. The request is forwarded to the SLAMai API, which acts as the intermediary between the front-end and backend processing.

  3. The LangGraph API processes the request, leveraging:

    • A fine-tuned AI model optimized for blockchain-specific inquiries.

    • The capability for engineers to define and integrate custom AI models, requiring authentication.

  4. The processed response is then returned to the user.

Customization and Extensibility

The SWARM is designed with flexibility in mind, allowing for the following customizations:

  • Fine-tuned Models: Utilizing pre-trained AI models optimized for blockchain analysis and queries.

  • Custom AI Models: Engineers can introduce proprietary AI models by passing them as parameters, enabling further customization.

  • Modular Agents: The architecture supports the integration of additional ReAct agents to expand functionality for new blockchain ecosystems and data sources.

By leveraging SlamAI, The SWARM ensures that blockchain-related queries are processed with accuracy, efficiency, and adaptability, making it a powerful tool for blockchain intelligence and data-driven decision-making.