AI Agents & Realms

AI agents can be powerful participants in DAO governance. They can monitor proposals, analyze voting patterns, automate routine governance tasks, and even act as delegates

AI Agents and Realms

AI agents can be powerful participants in DAO governance. They can monitor proposals, analyze voting patterns, automate routine governance tasks, and even act as delegates. This guide covers how to integrate AI agents into Realms-based DAOs.

Use Cases

1. Proposal Monitoring and Analysis

An AI agent can watch for new proposals and provide automated analysis:

  • Summarize proposal content and linked discussions

  • Assess risk of proposed on-chain transactions

  • Flag proposals that modify critical parameters

  • Alert stakeholders about upcoming vote deadlines

2. Automated Voting (Delegate Agent)

SPL Governance supports delegation. A token owner can delegate their voting power to another address, which can be controlled by an AI agent:

import { withSetGovernanceDelegate } from '@realms-today/spl-governance';
import { TransactionInstruction } from '@solana/web3.js';

// Delegate voting power to the agent's wallet
const instructions: TransactionInstruction[] = [];

await withSetGovernanceDelegate(
  instructions,
  programId,
  programVersion,           // e.g. 3
  realmAddress,
  governingTokenMint,
  tokenOwnerWallet,         // token owner
  tokenOwnerWallet,         // governance authority (current authority)
  agentWalletAddress,       // the AI agent's wallet
);

Once delegated, the agent can cast votes on behalf of the token owner:

3. Proposal Creation Agent

An agent can create proposals programmatically based on triggers:

  • Scheduled treasury distributions

  • Automated parameter adjustments based on on-chain metrics

  • Emergency proposals when security thresholds are breached

4. Transaction Execution Bot

After a proposal passes and the hold-up time elapses, execution is permissionless. An AI agent can monitor for executable proposals and trigger them:

5. Governance Analytics Agent

Build an agent that provides ongoing governance health metrics:

  • Voter participation rates

  • Proposal success/failure ratios

  • Treasury balance monitoring

  • Token holder concentration analysis

Architecture Pattern

A typical AI agent integration follows this pattern:

Implementation Guide

1. Set Up the Agent Wallet

2. Monitor Proposals

Poll for new proposals or use WebSocket subscriptions:

3. Analyze and Decide

Feed proposal data to your AI model for analysis:

4. Submit Votes

Security Considerations

  • Key Management: Store agent private keys securely (HSM, KMS, or encrypted vault). Never hardcode keys.

  • Spending Limits: Use a dedicated wallet with limited SOL for fees. The agent should not hold governance tokens directly - use delegation instead.

  • Delegation Revocation: Token owners can revoke delegation at any time by calling setGovernanceDelegate with None.

  • Audit Trail: Log all agent decisions and the reasoning behind them for transparency.

  • Rate Limiting: Implement rate limits to prevent the agent from taking too many actions in a short period.

  • Human Override: Always maintain the ability for human governance participants to override agent decisions through delegation revocation.

Existing Integrations

AI agents can be combined with existing governance plugins:

  • VSR + AI Agent: Agent votes with time-locked token power

  • NFT Voter + AI Agent: Agent manages NFT-based governance participation

  • Sowellian + AI Agent: Agent participates in prediction market governance bets

The delegation mechanism is the key enabler. Since any wallet can be a delegate, AI agents naturally fit into the existing governance model without requiring any protocol changes.

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