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Jul 11 7 tweets 4 min read Read on X
1/ Today we explore the rise of AI Agents in DeFi, and how they might reshape the yield landscape.

There are 3 main types of AI Agents in DeFi:

1. Research Agents provide insights and analysis on markets or tokens via LLM interaction

2. UI Agents replace DeFi interfaces, enabling users to interact with protocols through chat-based interfaces

3. Execution Agents autonomously deploy strategies, such as yield farming or trading. These often do not use LLMs in the UI

Some agents span multiple categories, for example by combining insights with automated execution.

Recently, Execution Agents focused on yield have seen rapid growth.

Let’s dive into this subcategory 🧵Image
2/ Yield Optimization Agents are Execution Agents that target yield generation within specific parameters, such as whitelisted vaults or pre-approved assets.

The core thesis is that AI can outperform rule-based systems by making more responsive and informed allocation decisions, without requiring constant user input.

Progressively, these agents may integrate user preferences like risk tolerance or coordinate as agent swarms for more adaptive execution.

There are additional risks to consider. Smart contract risk increases with an additional layer of agentic interaction, and most of these emerging protocols are not battle-tested.

Still, interest is growing.

From first-party data of AI Agents protocol, stablecoin-focused AI Agent TVL passed ~$20M in June 2025, mainly on @base .
3/ What is the role of curators like Gauntlet in the AI yield process?

AI Agents rely on permissionless vaults to deploy capital. The more vaults they support, the more options they have. But that also introduces more risk, including liquidation, depeg, and smart contract exploits.

Curators manage risk, optimize liquidity, and design vaults for risk-adjusted yield. These vaults are accessible to any user or AI agent.

Gauntlet USD Alpha, our latest product, is well-suited for agents seeking robust cross-chain, risk-adjusted yield starting from Base USDC.

Here are 3 AI Agent protocols allocating to Gauntlet-curated vaults 👇Image
4/ Arma Agents by @gizatechxyz

Launched in November 2024 on Mode, now live on Base with USDC. Arma Agents allocate across @MorphoLabs , @MoonwellDeFi , @eulerfinance, @SeamlessFi , @0xfluid , @compoundfinance , and @aave .

Yield is generated from vaults and GIZA token incentives.

Rebalancing occurs every few days to daily.

Vault incentives are not compounded and must be redeemed at withdrawal by deactivating the agent.

Jan 1 – Jul 1, 2025
- TVL: ~$200k to ~$11.2M (+5,500%)

- Agents: ~2,600 to ~33,000 (+1,170%)

- Avg TVL/Agent: ~$76 to ~$339 (+346%)

- Agentic Volume: ~$324M

- Transactions: ~200,000Image
5/ Morpho Agents by @BrahmaFi

Launched January 2024 on Base. Allocates USDC and WETH across @MorphoLabs vaults based on parameters like APY thresholds, TVL minimums, and curator preferences.

Rebalancing is user-configurable and ranges from daily to monthly.

Reward tokens are not compounded and must be claimed manually.

Withdrawals can be initiated at any time.

Jan 1 – Jun 25, 2025
- TVL: ~$1.1M to ~$9.5M (+760%)

- Agents: ~353 to ~3,103 (+779%)

- Avg TVL/Agent: ~$3,116 to ~$3,061 (−1.76%)

- Agentic Volume: ~$21M

- Transactions: ~10,000
6/ @FungiAgents

Launched in April 2025 on Base. Allocates USDC across @aave , @MorphoLabs , @MoonwellDeFi , and @0xfluid . Rebalances daily based on APYs, incentives, gas costs, and protocol risk.

Each user operates a smart contract account with automation permissions set via session keys.

Vault rewards are not compounded, with support for claiming being built.

Withdrawals can be executed at any time.

Apr 1 – Jun 25, 2025
- TVL: ~$166 to ~$412k

- Agents: ~10 to ~216

- Avg TVL/Agent: ~$16 to ~$1,900

- Agentic Volume: ~$28M

- Transactions: ~30,000Image
7/ Are you building in the AI and yield space?

We’d love to connect. Our DMs are open, or fill out this form:
form.typeform.com/to/wL0KbKAT?ut…Image

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More from @gauntlet_xyz

Jul 9
1/ How does our curation engine generate risk-adjusted yield?

Institutional-grade modeling

Gauntlet USD Alpha was not just built to chase yield. Our engineers employ methodologies that optimize allocations for sustainable yield while building resilience to market volatility.👇
2/ Variables we consider

• TVL impact: how allocation size affects performance
• Market conditions: adjustments based on anticipated market shifts
• Liquidity: tracking real-time DEX and vault liquidity
• Sustainability: expected yield calculated over 30-day rolling period
3/ Risk mitigation strategies

• Slippage: constrain positions and caps based on real-time DEX and vault liquidity
• Stablecoin risk: 40% cap on non-blue-chip stables in the strategy
• Smart contract risk: strict oracle standards + real-time market health monitoring
Read 6 tweets
Jun 24
1/ Gauntlet USD Alpha is Live

The best risk-adjusted stablecoin yield in DeFi, powered by institutional-grade risk management from crypto's most vigilant, quantitative minds.

Learn more and supply the vault 👇 Image
2/ Supplying the vault

Anyone can supply USDC to the vault, built on @base and accessible on the Gauntlet App.

To start, we will allocate to @MorphoLabs vaults on Mainnet and Base. Rewards are automatically swapped to USDC and compounded.

gtUSDa vault: app.gauntlet.xyz/vaults/gtusda
3/ Too many cowboys, not enough quants

$20B+ in USD stables deployed in 240+ yield opps. across EVM chains
$250B+ in outstanding stable supply. Gauntlet USD Alpha solves for:

Optimal rebalancing
Institutional-grade
Active and adaptive yield optimization strategy
Read 10 tweets
Feb 19
1/ A year of LRTs reveals a clear signal: they've emerged as premier collateral assets in lending markets.

Our latest LRT Market Risk dashboard update unveils the leverage dynamics powering leading @eigenlayer LRTs: weETH, rsETH, ezETH, pufETH, and rswETH. Image
@eigenlayer 2/ LRT leverage data

Our dashboard now includes a range of LRT leverage metrics, including:

Liquidatable collateral
Liquidation $ amounts at 2% slash and 25% drawdown
Recursive positions — liquidation by slash size
Non-recursive positions — liquidation by $ drawdown Image
@eigenlayer 3/ ETH looping strategies

LRTs enhance yields beyond the base ETH staking rate, and in the current non-slashing environment, this has catalyzed ETH looping strategies.

The impact? Most LRTs see 10x higher borrow demand from recursive positions vs traditional borrowing.
Read 7 tweets
Jan 10
1/ Tracking the Usual USD0++ Chain of Events and Our Approach

Timeline
4:56PM ET: Usual notified us and other curators that unconditional 1:1 redemption of USD0++ on the primary market is now over, via Telegram.
2/ ~4:57PM ET: simultaneous public tweet announcement and blog post that Unconditional 1:1 redemption of USD0++ to USD0 would end, replacing it with 2 mechanisms: a new 0.87 price floor, and a 1:1 Early Unstaking mechanism for USD0++ → USD0, which will be available early next week (holders forgoe any earned yield on the USD0++).

x.com/usualmoney/sta…
3/ 5:00PM ET: Our Risk Team started wargaming scenarios and discussing how we should manage our depositors’ capital and the risks they may be exposed to.
Read 10 tweets
Oct 30, 2024
1/ Introducing hJLP — Delta-Hedging for JLP

We've partnered with @DriftProtocol to build a delta-hedged JLP vault, leveraging @JupiterExchange's innovative Liquidity Provider token (JLP).

This structured product builds on our experience in risk management and vault curation. Image
@DriftProtocol @JupiterExchange 2/ Rapid early growth

The hJLP vault has surpassed $1M in total deposits and is nearing its initial cap. As we assess vault growth over the coming weeks, we will raise the cap as necessary to balance the risk-adjusted return.
@DriftProtocol @JupiterExchange 3/ Why hedge JLP exposure at all?

While JLP yields are attractive, token holders face risks from both crypto price swings and trader PnL exposure, which can eat into JLP returns.

The hJLP strategy aims to mitigate these risks by automatically hedging both components.
Read 11 tweets
Oct 22, 2024
1/ @JupiterExchange Market Update Oct. 14 - Oct. 21

SOL trader PnL surged this week, with BTC and ETH trader PnLs showing modest WoW increases. More info in the thread. Image
@JupiterExchange 2/ SOL Win Rate and PnL Chart

• Win Rate: 45.8%
• Net PnL: $8.2M
• Gross PnL: $12.98M

Net and gross SOL trader PnL continued its upward trajectory over the past week, as trader win rate remained even WoW. Image
@JupiterExchange 3/ BTC Win Rate and PnL Chart

• Win Rate: 48.8%
• Net PnL: $306.49K
• Gross PnL: $1.03M

BTC trader win rate continued to increase over the past week as gross PnL surpassed $1M. Image
Read 6 tweets

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