Questflow
  • Questflow Network
    • 👋Welcome to Questflow - Decentralized AI Agentic Workflow Network
    • ❔Why AI Agentic Workflows?
    • 🤗What specific problem is Questflow Labs aiming to solve?
    • 😀How does multi-agent orchestration (MAO) work
    • 💡What is multi-agent orchestration (MAO)
      • Core Features of Multi-agent Orchestration (MAO)
    • 🍎What use cases does Questflow focus on?
    • 🧠Why blockchain is a necessity for multi-agent networks?
  • Questflow Protocol
    • What is QF Coin?
    • QF Tokenomics
    • QF Token Allocation
    • QF Earning Rewards
    • 🕸️Questflow Decentralized Agent Protocol
      • Protocol Structure
      • The Functionality of Guardian Nodes
      • Node Competiton- Activity Priority Mode
      • Node Competition-Task Acquisition
      • References
    • ⚡Commission Settlement Statement
    • 😁Referral Program
    • 🛣️Vision and Roadmap
    • 🧑‍💻Important Terminology
    • 🧐What are the existing alternatives?
    • Contact Us
    • Privacy Policy
    • Terms of Service
    • Refund Policy
Powered by GitBook
On this page
  1. Questflow Network

How does multi-agent orchestration (MAO) work

PreviousWhat specific problem is Questflow Labs aiming to solve?NextWhat is multi-agent orchestration (MAO)

Last updated 10 months ago

Questflow Labs offers multi-agent orchestration (MAO) for AI agentic workflow with two main products: the Questflow Application and the Decentralized AI agent Protocol. Each product line focuses on different aspects of AI orchestration and incentive distribution.

  • The Questflow Application is designed to orchestrate multiple AI agents to take action on autopilot.

  • The Deagent Protocol focuses on dispatching real-world incentives to creators of AI agents.

How Questflow Labs' Products Work Together

  1. User Intent: Users input requests into the Questflow Application.

  2. Intention Perception: The system interprets the user’s intentions and selects the appropriate AI agents.

  3. Orchestration: The orchestrator arranges the tasks and delegates them to the selected agents via the task manager.

  4. Task Execution: The agents execute their tasks, with the task manager overseeing the process.

  5. Validation and Incentives: The Deagent protocol validators verify the returned data and calculate incentives for the agents.

  6. Registry and Incentive Distribution: Agents are managed and registered in the Deagent Agent Registry, receiving incentives based on their contributions.

😀