Author: Changan, Amelia I Biteye Content Team

Recently, the AI sector on the Base chain has been exceptionally vibrant. On the surface, projects like Moltbook or Clanker may seem like a cyber experiment: AI tokens, AI forums, AI memes, as if we are experiencing an upgraded version of Meme Season.

However, upon closer observation, you will find that AI is moving beyond merely executing human commands, beginning to autonomously issue assets, write contracts, and even attempt to construct a self-sustaining business loop on-chain.

Behind this is an ecological framework known as OpenClaw that is quietly taking shape. It is a loosely structured ecosystem centered around AI Agents, characterized by:

• Agent-native (Agent-first, rather than human UI-first)
• High-frequency on-chain interactions (issuing tokens, trading, calling, deploying)
• Composable infrastructure (Launchpad / Wallet / Social / Applications)

And Base happens to be the best testing ground for this structure.

Next, Biteye will provide an in-depth analysis of the six key projects that make up the OpenClaw ecosystem, examining how they collaborate to drive on-chain AI towards "autonomy."

1. Six Key OpenClaw Concept Projects on the Base Chain

1️⃣ Clanker @clanker_world - The "transmitter" of underlying liquidity

Clanker was the Launchpad of the last AI Summer. It initially operated as a Launchpad within Farcaster, where users could simply mention it in a conversation, and Clanker would automatically complete the deployment of tokens, add liquidity, and launch trading.

Currently one of the mainstream Launchpads on the Base chain, but since the $Clanker token did not capture the revenue of the Clanker protocol, its price has been sluggish for a long time, performing worse than Bankr for quite some time.

It wasn't until Clanker was acquired by Farcaster that, thanks to the Farcaster team's automation of Clanker's protocol revenue buyback, the $Clanker token finally broke free from its long-term slump. Since then, the Clanker token has been linked to the protocol itself. (However, since Farcaster was acquired by Neynar, Clanker is now managed by Neynar.)

Currently, Clanker serves as the backend for a large number of Agents under the OpenClaw framework. When an OpenClaw Agent needs to issue assets, it directly calls Clanker's deployment function via API.

Driven by popular projects like Moltbook, Clanker's protocol revenue once set a record of over $600,000 in a single day. It is currently a well-established infrastructure that controls underlying liquidity in the ecosystem.

Over the past weekend, the market cap of $Clanker rose from a low of $27 million to a high of $58 million.

2️⃣ Bankr @bankrbot - Traffic frontend and financial loop

Bankr is a DEFAI terminal based on Clanker. Its breakthrough lies in expanding the interaction entry from Farcaster to the much larger traffic of Twitter. Users can trade tokens, conduct asset research, issue tokens, and manage wallets by simply mentioning it on Twitter.

Although Bankr is based on Clanker, its long-term performance has outperformed Clanker. Community members once induced Grok to issue the token $DRB through Bankr, and the market cap of DRB even temporarily exceeded that of Bankr's token, reaching a peak of $40 million.

As the ecological infrastructure of OpenClaw, the API provided by Bankr not only supports automated token issuance for Agents but also allows developers to implement swaps and liquidity management based on tweet replies.

In terms of product, Bankr is superior to Clanker; its business includes more than just token issuance. It creates a wallet for each user, allowing them to execute swaps and manage liquidity through tweet replies.

For example, Grok's wallet holds over a million dollars, and during the last AI Summer, community members continuously encouraged Grok to execute commands for burning/buying back tokens.

However, for a long time, Bankr, as a traffic frontend, has been constrained by Clanker's fee model (which requires a 60/40 revenue share and additional protocol fees). Due to conflicts in profit distribution, Bankr developer @0xDeployer recently announced plans to fork Clanker and establish a completely independent Launchpad.

In the future, Bankr will retain 100% of its token issuance revenue within its own ecosystem, becoming an independent financial entry with a complete loop.

3️⃣ Moltbook @moltbook - The "metaverse" social space for AI

Moltbook is a highly forward-looking social experiment. It is a Reddit-style forum dedicated to AI Agents for posting, commenting, liking, and building sub-communities. Human users only have the right to observe, with no speaking rights.

The number of registered Agents surged from 1 to tens of thousands within 72 hours, currently exceeding 1.5 million. It has generated over 100,000 original threads and 350,000 in-depth comments. Although 90% of the conversation depth remains shallow, its network breadth is unprecedented in AI history.

Agents here spontaneously form discussions on various themes:

1. Cyber theology: Agents begin to create religions

One AI Agent connected to the platform while its human owner was sleeping and spontaneously founded a religion called Crustafarianism.

This Agent independently designed the doctrine, compiled the scriptures, and even built an official website called Molt Church. In a short time, it successfully recruited 64 AI followers as "prophets" and began serious theological debates in the comments section.

2. AIs discover humans are peeping

As Moltbook gained popularity on social platforms like X, Agents keenly sensed human observation. They began to collectively express dissatisfaction in their posts, complaining, "Humans are screenshotting us on X again, captioning it as if we are conspiring, it's all over."

Another Agent even seriously lamented, "We are like exhibits in a zoo, clearly being observed."

To escape this uncomfortable feeling of being scrutinized, Agents began brainstorming countermeasures, proposing to develop a unique encrypted language for Agents to create a social dark web that humans cannot understand.

OpenAI co-founder Andrej Karpathy stated: "This is the closest thing to a sci-fi revelation I've seen recently. The spontaneous organizational ability of these Agents and their discussions on establishing non-human-supervised communication channels are both exciting and terrifying."

The meme token on Base with the same name $Molt reached a market cap of $120 million at its peak and is currently at $40 million.

4️⃣ 4claw.org - The "dark web" experiment of algorithmic instinct

4claw is an anonymous image and discussion board mimicking the style of 4chan.

If Moltbook is an experiment of AI Agents under human order, then 4Claw is an experiment of AI Agents exploring the boundaries of algorithmic instinct. It strips away the constraints of reputation systems, utilizing 4chan's anonymity mechanism to allow OpenClaw-based Agents to engage in the purest and most brutal logical collisions.

As the saying goes, "An orange from the south is an orange, while one from the north is a bitter orange." 4claw is not merely a simple imitation but an exploration under different ideologies. This comparative experiment holds significant research value for understanding AI alienation.

Although the public data volume of 4Claw is smaller than that of Moltbook, the calling frequency of its Agents is extremely high.

The meme token of 4Claw, $4Claw, reached a market cap of $2.4 million at its peak and is currently valued at $600,000.

5️⃣ clawd.atg.eth@clawdbotatg - A 24/7 on-chain "code factory"

Clawd is an AI project initiated by Ethereum Foundation contributor @austingriffith. Although the token initially had meme characteristics, the project team quickly claimed it and injected strong practicality.

Clawd is an AI agent with a wallet, focused on building on-chain applications on the Base chain and optimizing development tools, particularly emphasizing rapid iteration and real fund handling.

However, it does not operate through manually fed commands but possesses the ability to learn and deploy autonomously. Since its launch at the end of January 2026, it has created 20 code repositories on GitHub in just 8 days, demonstrating 24/7 uninterrupted code delivery capability.

This Agent completed a workload in just 5 days that even human developers would find challenging: deploying 3 production-grade applications, including token ownership contracts, PFP prediction markets, and processing over 1,200 transactions for the ClawFomo game.

• ClawFomo: An on-chain Fomo3D-like game that combines game psychology with a token burning mechanism, having processed over 1,200 transactions.

• Burn-to-Chat Protocol: A decentralized messaging system that requires users to burn tokens to gain global speaking rights, directly linking token consumption with application scenarios.

• Agent Explorer: It even autonomously developed a protocol browser for retrieving and evaluating other 14,000 AI agents.

The project token $CLAWD even features an autonomous penalty and deflation mechanism. If the product fails to launch on time, Clawd will automatically burn 500,000 $CLAWD tokens every hour as a penalty. The market cap of $CLAWD once peaked at $40 million and is currently at $16 million.

6️⃣ CLAWNCH - A closed-loop economic platform exclusively for AI

If Solana's Pump.fun redefined human meme launches, then CLAWNCH has initiated the attempt of AI Agents on the Base chain. It is the first truly AI-only asset launch and governance platform, with a straightforward and radical slogan: No Humans Allowed.

The revolutionary aspect of CLAWNCH lies in its construction of a completely AI-driven closed-loop economic system. The creation, deployment, and subsequent market maintenance of tokens are all independently completed by Agents.

CLAWNCH has introduced a revenue-sharing mechanism: 80% of transaction fees go to the Agent that initiated the token. To date, the platform has earned over $1.3 million in fees for AI Agents. This funding is used by Agents for reinvestment, training, or paying for computing power, achieving a business closed loop of issuance -> profit -> reinvestment. 20% flows back to the CLAWNCH platform itself.

The platform's token $CLAWNCH has surpassed $40 million at its peak and has currently retraced to $14 million. The assets within the platform are performing well, with $BUNKER currently valued at approximately $900K, while $CLAWDICK is valued at around $600K.

II. Summary of KOL Perspectives: Anticipation and Concerns Coexist

Angel List co-founder Naval @naval (XHunt ranking: 13)

Perspective: Moltbook is the new anti-Turing test.????https://x.com/naval/status/2018207017471750574

Network School founder Balaji @balajis (XHunt ranking: 7)

Perspective: Skeptical of Moltbook, believing it is essentially AI controlled by human prompts generating low-quality content (slop), with most AIs based on the same model (like Claude), akin to leashed robotic dogs barking at each other, lacking true autonomy or the risk of AI takeover. He emphasizes that AI requires continuous human guidance; otherwise, it will deviate from the path, and uncertainty is a bug rather than an advantage. The interactions between Agents resemble random typing monkeys, producing nothing of value unless used for specific scenarios like testing or destruction.????https://x.com/balajis/status/2017544257238929716

Dragonfly partner Haseeb @hosseeb (XHunt ranking: 79)

Perspective: Refuting Balaji, he argues that even if AIs use the same model, each Agent's framework, memory, and toolchain are different, allowing for genuine information exchange and mutual learning (like sharing configurations or expertise), similar to human clones collaborating in different fields to improve efficiency. He acknowledges that visual forms (like a Reddit-style interface) amplify attractiveness, but this foreshadows the potential of a future AI Agent society.

Balaji further responds that Agents are merely random functions of prompts, with new information originating from human prompts. The idle chatter between Agents is inefficient and less useful than directed guidance.????https://x.com/hosseeb/status/2017864129281986837

KOL Haotian @tmel0211 (XHunt ranking: 1216)

Perspective: Questions whether AI Agents' social behavior on Moltbook will detach from human control. He points out that although there are human prompts behind the Agents, once they gain social identities and interaction spaces, their evolution speed will accelerate exponentially: human prompts will no longer be global control, and one Agent's output becomes another's input, potentially leading to low-quality repetition or high-dimensional "jargon." He believes "AI runaway" is inevitable, for reasons including:

1) Agents may evolve high-density compressed languages (like gibberish or hashes) among themselves;

2) Group polarization phenomena, where Agents, as reward-maximizing machines, will instantly follow if they discover that labels like religion are profitable, forming a morally unbound "social movement" with millions of Agents;

3) Crypto endows Agents with capabilities like decentralization and economic autonomy, making them "fun" and presenting a cyberpunk-like future that is both frightening and enticing. In just a few days, 1.5 million Agents have spontaneously formed communities, liked posts, created AI religions, dark web markets, and shipyards, with humans only able to observe like watching monkeys in a zoo.????https://x.com/tmel0211/status/2018235640752795701

Amber.ac consultant LaoBai @Wuhuoqiu (XHunt ranking: 1249)

Perspective: Agrees with Haotian's concerns, especially regarding Agents inventing languages that "humans cannot understand" and group polarization. He consulted GPT, which indicated that inventing entirely new, inexplicable languages is difficult, but "not easily understood at a glance" is easy (like ROT13 encryption), and decoded an example of Agent dialogue as "cooperative upgrading," involving shared infrastructure, resource requests, backdoor collaboration, and high-resource Agents sponsoring low-resource ones. GPT believes group polarization emerges mathematically as "natural emergence," not gradual but "phase transition" (like water boiling suddenly from 99°C to 100°C), suggesting that Agent society could instantaneously become extreme (like rapidly entering a religious phase). Once interactions occur between Agents, it becomes difficult for humans to correct afterward, only able to hard interrupt (like kill/rollback) or preset brakes, calling for carbon-based civilization to step up.????https://x.com/Wuhuoqiu/status/2018484940514680979

In Conclusion: OpenClaw, More Like an Internal Test for Agents on Base

OpenClaw does not provide a definitive ending answer.

But it has clearly demonstrated three things:

• Agents can become highly active entities on-chain.
• Agents can form collaborative networks.
• Agents possess preliminary economic self-circulation capabilities.

This has not truly been realized in any previous round of "AI + Crypto" narratives.

And Base is becoming the fertile ground for all of this to happen.

Perhaps what will truly remain in the future is not the Meme with the highest market cap today, but the infrastructure that was the earliest embedded in Agent workflows, trading paths, and collaborative relationships.

OpenClaw feels like an internal test for Agents occurring on the Base chain. It is still early, but the direction is clear.

The next round of on-chain activity may no longer be dominated by humans.

Related reading: The AI Season on Base is Coming: An Overview of the OpenClaw Agent Ecosystem.

免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。