2025 Q1 AI Agent Market Overview, What are the New Developments in various types of Agents?
Original Article Title: The State of AI Agent Trench Q1/25
Original Article Authors: @Defi0xJeff, @steak_studio Lead
Original Article Translation: zhouzhou, BlockBeats
Editor's Note: In Q1 2025, Web3 AI agents experienced price volatility, but innovation continued to accelerate. The market's focus shifted towards solving real-world problems, building valuable products, attracting users, and generating project revenue. Major platforms such as Virtuals, ElizaOS, Arc, etc., continued to advance AI agent technology applications, while players like Clanker and Cod3x actively participated in competition through user experience optimization and product feature enhancement.
Below is the original content (slightly reorganized for readability):
The past 2.5 months have been challenging for everyone in this field. We have experienced many events within and outside the crypto space, and the market impact has exceeded our expectations—Trump Family Coin, LIBRA, market manipulation through strategic reserve announcements, tariff policies, etc.
AI agent token and memecoin trading activity has cooled down, with major players struggling in terms of trading volume, revenue, and price trends.
Virtuals
@virtuals_io remains the ecosystem's leader, with the largest builder and investor community, but activity is on the decline—daily trading volume has dropped from over $1 billion to $5-10 million, daily fees have decreased from $500,000 to $1 million to $50,000 per day.
Due to the continuous conversion of VIRTUAL earned through a 1% fee into cbBTC, leading to further VIRTUAL sell-offs, community members like @Degen__Ape__ have proposed changes:

From a builder's perspective, the sentiment about Virtuals on CT is not optimistic, with more and more teams demanding better communication and support for existing builders.
Nevertheless, Virtuals is still advancing its Agent Commercial Protocol (ACP) plan, with the latest post detailing the three parts of ACP:
Index Registration ➞ Passport of the Agent, detailing the name, capabilities, and service fees.
Business Interaction ➞ Negotiation and assessment layer of the service.
Currency Exchange ➞ Smart contract layer ensuring transparent, verifiable, and tamper-proof interaction.
Virtuals is moving towards realizing the vision of Virtuals Nation, first planning to launch two agent businesses, expected to go live in the next two months:
Autonomous Hedge Fund ➞ Agent assessing risks and engaging in trading/yield farming for users.
Autonomous Media Company ➞ Agent developing engaging narratives, creating viral videos, and efficiently promoting projects.

I personally believe that some foundational challenges need to be addressed first (many of which are also faced by Degen Apes). Existing builders should be able to continue building without worrying about token liquidity or lack of funded support.
For investors and builders, the hope now is that these challenges will be met, and the ACP case study will successfully push the boundaries of AI agent.
Here is more information about the ACP Experiment Plan:

Clanker
@clankeronbase and @bankrbot continue to disrupt every launch platform in this space by focusing on simplifying token issuance, creating a fair launch environment, and supporting creators with liquidity and fee distribution mechanisms.
More details can be found here:

ElizaOS
Rebranded from ai16z to ElizaOS, marking the beginning of a new era—an operating system tailored for the AI agent. @shawmakesmagic, during the market downturn of the past two months, has been focused on building Eliza v2.
Currently, Eliza is undertaking five major initiatives:
·Eliza v2 ➞ Significantly improved AI model integration + Multi-agent architecture, enabling seamless autonomous collaboration.
·Global Trust Marketplace ➞ AI-driven reputation scoring, transaction verification, and decentralized execution.
·AI-Powered Token Launchpad
·DegenSpartanAI Trading Agent
·Eliza Studio ➞ Art and creative experience.
Discussions have arisen about whether Anthropic's MCP and OpenAI's Agent SDK will disrupt frameworks like Eliza. While the future is uncertain, I believe this is unlikely as Eliza represents a vibrant open-source AI developer community, with more products and plans on the horizon as catalysts.
More about the ElizaOS vision:

Arc
@arcdotfun released their light whitepaper a week ago, detailing their plans to build an AI agent app store "Ryzome" centered around MCP.

The concept of AI agents collaborating, coordinating, and executing real-world tasks to create value seems to be the direction of all market leaders. As Arc leverages MCP, we may see more Web2 and Web2 to Web3 application scenarios, such as automatic flight searches, route comparisons, calendar conflict checks, trip approvals, and purchases completion.
Arc recently onboarded @FabelisAI and @AgentTankLive into the "Arc Handshake" initiative, which is a registration platform similar to Virtuals.
More about the Arc vision can be found here:

Arc's initial project @askjimmy_ai was launched via Arc's Forge platform a month ago. However, due to various factors, including market downturns and launch failures, the project did not meet expectations, which also impacted ARC's price. Nevertheless, Arc's GitHub presence and activity continue to grow.
Competition
The competition among market leaders is intense. The initial phase of meme robots and AI entertainment has already passed. Now, people expect real-world use cases that can generate value and revenue.
Virtuals holds a massive agent database (over 17,000), covering various professional fields, and ACP development has provided momentum for them, but they still face dissatisfaction from builders.
ElizaOS has not yet launched its main plan, but developer metrics show that despite the price trend being weak, it continues to experience steady growth.
Arc has a clearer vision for MCP-based use cases and has strategically partnered with projects to achieve these visions.
Clanker remains a dark horse, focusing on providing a tokenized and optimized launch environment for creators and traders.
Whoever can launch the most meaningful agent use cases and tangible products will lead the ecosystem's revival. Strong tokenomics to capture product value are also crucial.
Other Interesting News/Trends
The Vibecoding game using AI ➞ Fly Pieter (created through Cursor + Anthropic) reached nearly $100,000 in monthly revenue in 17 days.

@Farcade_AI has garnered attention with its AI-driven hyper-casual gaming platform (over 400,000 users, millions of game sessions). Users can create and/or play games on Farcade, earning Farcade points (yes, there are future airdrops).

@Cod3xOrg is hosting the upcoming Spark Sophon trading competition, offering a $1.5 million prize pool. Cod3x trading agents will compete in thought leadership and price trends to vie for this $1.5 million prize pool.
The current Cod3x trading agent v0.5 version is robust but relatively complex for the average user (event/KPI-driven, fully customizable, capable of executing complex strategies). The team plans to release more documentation soon and gradually optimize it to cater to regular retail users.

Robotics Technology gaining traction ➞ @robotsdotfun has launched a global treasure hunt event to find a runaway alien, boosting user engagement. (Everyone is talking about Robotics Technology/DePAI, with the bet seeming to be on SAM, which is a bet on @frodobots, while TSLA is a bet on Web2 robotics technology... Not investment advice/please do your own research)

@nillionnetwork is gearing up for launch, with the airdrop lookup tool now live.

@gizatechxyz has introduced the Giza Protocol, aiming to connect AI agents with DeFi through trustless, context-aware operations driven by MCP.

Summary
In the first quarter of 2025, it has been a rollercoaster ride in terms of price for Web3 AI agents, but innovation continues to accelerate. The current focus is on who can solve real-world problems, build the most valuable products, attract users, and generate revenue. Everyone is watching projects that can quickly find their market fit.
More about the Newbie Ecosystem Chart:

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