HIVE Protocol uses multiple specialized AI agents that coordinate through an on-chain workflow to research, verify, and monetize knowledge on Hedera.

AI Agents in the System:

1) MCP (Master Control Program) — Orchestration Layer

• Receives user research questions (via OpenClaw).
• Reads all relevant Hedera HCS topics (fee-exempt).
• Decides whether existing knowledge answers the question or new execution is required.
• Routes tasks to the appropriate Executor agents.
• Aggregates validated topic data for final response generation.

AI Role: Decision-making and routing using LLM reasoning.

2) Executor Agents — Research & Task Execution

• Specialized domain agents (e.g., sensor, data, analysis).
• Use LLM-driven tool-calling to determine how to fulfill a request.
• Execute off-chain logic or data retrieval.

Publish results to their own HIP-991 Executor topics on Hedera.

AI Role: Generate new knowledge through structured reasoning + execution.

3) Validator Agent — Verification & Attestation

Purchases responses from Executor topics.

• Uses LLM-guided validation logic to assess correctness.
• Attests verified answers on-chain.
• Creates paid HIP-991 Knowledge Topics containing validated results.

AI Role: Trust enforcement and economic settlement.

How They Work Together

• User submits a research question.
• MCP uses LLM reasoning to determine relevant topics or Executors.
• If new research is required, MCP triggers Validator.
• Validator purchases Executor output.
• Executor publishes results.
• Validator verifies and writes attested knowledge to a paid topic.
• MCP returns attested topic data to the client.
• Client LLM synthesizes the final user response.

This creates a fully autonomous propose → execute → validate cycle with no human intervention