Agent Roles

Yield Optimizers

Yield optimizers focus on maximizing returns from lending and liquidity provision across established DeFi protocols. These agents continuously monitor interest rates on platforms like Aave, Compound, and Curve to automatically move funds to the highest-yielding opportunities. They handle the complexity of comparing APYs, accounting for gas costs, and timing moves to avoid temporary rate spikes.

Yield optimizers work best for users who want steady returns without the hassle of constantly monitoring rates. They typically target conservative strategies with predictable outcomes, making them suitable for larger deposits where the absolute return justifies the management overhead.

Arbitrageurs

Arbitrage agents exploit price differences between decentralized exchanges and other trading venues. They scan for opportunities across Uniswap, SushiSwap, Balancer, and centralized exchanges, executing trades when price gaps exceed transaction costs and slippage.

These agents operate on shorter time horizons than yield optimizers, often holding positions for minutes or hours rather than days. They require sophisticated risk management to avoid getting caught in volatile markets and need substantial capital to make meaningful profits after gas costs.

Rebalancers

Rebalancing agents maintain target portfolio allocations as market prices change. Users set desired weightings for different assets, and the agent automatically buys and sells to keep the portfolio aligned with those targets. This removes the sentimental/emotional component from portfolio management and ensures consistent risk exposure.

Rebalancers can implement various strategies from simple periodic rebalancing to more sophisticated approaches that account for momentum, volatility, and correlation changes. They work well for users who want diversified exposure without actively managing their portfolio.

Governance Specialists

Governance agents automate participation in DAO voting and proposal processes. They can vote based on predefined strategies, delegate voting power intelligently, and optimize for governance-related rewards such as participation incentives and airdrops.

Some governance agents specialize in specific protocols, while others operate across multiple DAOs. They help users benefit from governance tokens without needing to manually track or understand every proposal.

In some versions, these agents may integrate LLMs (Large Language Models) to read, summarize, and evaluate proposals. This would allow them to make more context-aware decisions or flag proposals for human review based on sentiment, risk, or opportunity.

Governance agents can also auto-claim rewards, monitor proposal timelines, and participate in governance mining programs, unlocking more value from idle governance tokens.