Title: Everything is Fine with DeFAI
Author: Defi 0x Jeff, head of steak studio
Compiled by: zhouzhou, BlockBeats
Editor's Note: DeFAI is attracting market attention, especially in the abstract layer and automated trading agent categories. Despite challenges such as limited research tools and user onboarding issues, it has a strong vision and professionalism, and is expected to lead the 2025 AI agent bull market, focusing on analysis tools and practical agents, and avoiding emotional trading.
Original Content (edited for readability):
Market sentiment has become extremely bearish across all AI agent sub-sectors, with one narrative exception: DeFAI.
DeFAI is primarily focused on the abstract layer category, performing well during the market downturn, with two projects in particular standing out in the past week:
GRIFT / orbitcryptoai - $65 million market cap (+150% in the past 7 days)
ANON / HeyAnonai - $161 million market cap (+70% in the past 7 days)
Orbit
Orbit continues to demonstrate strong momentum, with unique features that set it apart from its peers, including the latest functionalities:
USDC Transfer Agent: Aggregates USDC balances across multiple chains into a unified balance and transfers to a specified wallet for payments (future support for any token).
Data Hooks: Allows users to automate trading and on-chain tasks, e.g., "Swap [x] USDC on Solana every minute until SOL market cap reaches [x]".
With its ability to integrate 117+ chains and 200+ protocols, Orbit is positioning itself as the "financial assistant for billions of AI agents" - helping agents and humans seamlessly pay, complete tasks, and interact with the Orbit tech stack.
The market is starting to price GRIFT closer to its major competitors.
HeyAnon
Led by danielesesta, HeyAnon has recently carved out a differentiated path through some new announcements:
Gemma: A research assistant agent aimed at converting vast on-chain and social data into actionable visual elements.
AUTOMATE: A TypeScript framework for DeFAI, accelerating the development of the HeyAnon ecosystem.
HeyAnon's vision is to become the universal intelligence layer, supporting multi-step transactions, governance, and data analysis, while ensuring the security and transparency of on-chain transactions. AUTOMATE emphasizes pattern-based typed interactions to prevent developers from deploying misconfigured setups.
Partners include Arbitrum, Base, AVAX, BNBChain, IOTA, Kava Chain, and SonicLabs. The team has also launched a grants program through DAO proposals, utilizing 2% of ANON and $1 million USDC in treasury reserves to drive integrations and developer activities.
Although ANON has quickly surpassed a $100 million market cap, the current slow uptrend reflects a cautious pricing attitude during the market downturn.
Griffain
griffaindotcom remains the largest project in the abstract layer space by market cap ($330 million), despite a 21% pullback in the past 7 days. Why is this the case? It's unclear at the moment... it could be due to capital rotating from higher-market-cap DeFAI projects to lower-market-cap ones, or because Griffain is focused on a general abstract layer rather than specialized DeFi and trading solutions like its peers.
Functional/Focus Differences Summary:
Orbit ➔ Tailored for cross-chain transactions and DeFi operations (most integrations currently).
Anon ➔ Focused on data (signals/insights), trading, and DeFi operations, driving developer community building through L1/L2 partnerships and grants.
Griffain ➔ Provides a general abstract layer for Solana, positioned as the "agent of agents", with specialized agents like airdrop tools, token launchers, burn mechanisms, coffee bots, and NFT agents.
After testing these protocols, my personal favorite is still the slate ceo.
The main use cases I rely on the abstract layer for include:
Basic on-chain operations: Transfers and swaps.
Automation: Sell [x] every hour until the next 10 days.
Advanced conditional trades: Swap $5k worth of A and B when A reaches [x] market cap and B reaches [x] market cap.
Slate doesn't have a token, but I like its product, the downside is it only supports EVM chains and requires manually depositing gas tokens to use. Currently, I'm using it to automate my trades on Base.
Challenges of the Abstract Layer
Limited research tools: Many platforms offer "research agents", but their functionality is more limited compared to true analytical dashboards.
Token recognition issues: Some platforms are unable to recognize token symbols, forcing users to manually input token addresses.
Limited DeFi use cases: High-quality DeFi protocols are often not integrated, or lack the underlying data (TVL, APR%, risk assessments, etc.) needed for users to make informed decisions.
Poor user onboarding: Unclear interfaces and instructions, where users sometimes need to manually select agents to issue commands, rather than a seamless centralized interface.
Conclusion on the Abstract Layer
For most use cases, traditional tools are still better. Here are my recommendations:
Use professional analysis tools for research: Better leverage these tools.
Use DefiLlama to access metrics, yields, and DeFi-related insights.
Use AcrossProtocol for L2 bridging.
Use Wormhole for bridging between Non-EVM and EVM ecosystems.
Although the experience is a bit clunky, I remain bullish on DeFAI, especially the abstract layer, as their vision is to simplify the DeFi user experience. This vision (and its execution) is very much needed to achieve mass adoption and attract mainstream users.
Automated Trading Agents
The automated trading agent category is experiencing a significant pullback, with TONY being the best performer in the past 7 days, down only 8%.
Highlights beyond the cookiedotfun dashboard:
CATG / boltrade ai - An analysis tool and trading agent focused on smart trader signals.
LAY / loomlayai - A no-code agent ecosystem for API/skill integrations, focused on trading strategies.
BULLY / dolion ai - Expanding from individual agents to trading strategies.
These projects have all experienced significant pullbacks, and the most worth buying will have the following characteristics:
Performance: Able to generate alpha returns and have a robust P&L.
Verifiability: Performance data linked to wallet addresses.
Participation: Users can share in the profits generated by the agents.
This narrative is still in its early development stage, and currently, the only agent with verified performance is BigTonyXBT, while others are either in the backtesting phase or operating in the background without transparency.
Conclusion
DeFAI is currently priced higher than other sub-sectors because it is fresh, has a strong vision, and benefits from danielesesta's promotional expertise. However, challenges still exist in practice. To generate alpha returns, I recommend focusing on analysis tools (like the five I mentioned) and utility-focused agents, such as:
aixbt agent
unit 0 0x 0
kwantxbt
AgentScarlett
tri sigma
Automated trading agents have not yet gained sufficient traction, and major trading agent ecosystems like Almanak have not yet launched. When the market rebounds, DeFAI (abstract layer and automated trading agents) may lead the market due to its strong narrative positioning.
Plan ahead, maintain safety, and avoid emotional trading. Focus on long-term strategy, and most importantly, be prepared to seize opportunities when the rebound arrives. The 2025 AI agent Bull market is coming, and it will be glorious!
