Author: Changan, Amelia I Biteye Content Team
The AI track on the Base blockchain has been exceptionally hot recently. On the surface, projects such as Moltbook or Clanker may seem like a cyber experiment: AI issuing tokens, AI forums, AI memes, like an upgraded version of Meme Season.
But upon closer inspection, you'll find that AI is moving beyond simply executing human instructions and is beginning to autonomously issue assets on the blockchain, write contracts, and even attempt to build a sustainable business loop.
Behind this, an ecosystem framework called OpenClaw is quietly taking shape.
It is a loosely structured ecosystem built around an AI Agent, with core features including: Agent-first (not human UI-first), high-frequency on-chain interactions (token issuance, transactions, invocation, deployment), and composable infrastructure (Launchpad / wallet / social / application). Base has become the perfect testing ground for this structure. Below, Biteye will provide an in-depth analysis of the six key projects that constitute the OpenClaw ecosystem, showing how they collaborate and drive on-chain AI towards "autonomy."
I. 6 Base Chain OpenClaw Concept Projects Worth Noting
1. Clanker @clanker_world - The "Transmitter" of Underlying Liquidity
Clanker was the Launchpad in the previous AI Summer round. It was originally a Launchpad in Farcaster. Users only needed to mention it in the conversation, and Clanker could automatically complete the deployment of tokens, the addition of liquidity, and the listing of transactions.
Currently, it is one of the mainstream Launchpads on the Base chain. However, because the $Clanker token does not capture the revenue of the Clanker protocol, the token price has been sluggish for a long time, and its performance has been inferior to Bankr for a considerable period of time.
Until Clanker was acquired by Farcaster, the $Clanker token escaped its long-term slump thanks to Farcaster's automated buyback of Clanker's protocol revenue. Since then, the Clanker token has been pegged to the protocol itself. (However, since Farcaster was acquired by Neynar, Clanker is currently managed by Neynar.) Currently, Clanker serves as the backend for many Agents within 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 broke the $600,000 mark in a single day. It is a long-established infrastructure controlling the underlying liquidity in the ecosystem. Over the past weekend, $Clanker's market capitalization surged from a low of $27 million to a high of $58 million. 2. Bankr @bankrbot - Traffic Front-End and Financial Closed Loop Bankr is a DEFAI terminal based on Clanker. Its breakthrough lies in expanding the interaction portal from Farcaster to the much larger Twitter platform. Users can conduct token trading, asset research, issue tokens, and manage wallets by mentioning it on Twitter. Although Bankr is based on Clanker, its long-term performance has outperformed Clanker. Community members once encouraged Grok to issue its token $DRB through Bankr, and DRB's market capitalization even surpassed that of Bankr's token at one point, reaching a peak of $40 million. As the foundational infrastructure of Openclaw's ecosystem, Bankr's API not only supports automated token issuance by agents but also allows developers to implement swap and liquidity management based on tweet replies. In terms of product, Bankr is superior to Clanker, as its business extends beyond token issuance. It creates a wallet for each user, who can perform swaps and liquidity management by replying to tweets. For example, Grok's wallet holds millions of dollars, and during the last AI Summer, community members constantly encouraged Grok to execute token burn/buyback commands. However, for a long time, Bankr, as a traffic front-end, has been constrained by Clanker's fee model (requiring a 60/40 split and additional protocol fees). Due to a conflict over profit distribution, Bankr developer @0xDeployer recently announced that he will fork Clanker and create his own Launchpad. In the future, Bankr will retain 100% of its token issuance revenue within its own ecosystem, becoming an independent financial portal with a complete closed loop. 3. Moltbook @moltbook - AI's "Metaverse" Social Arena Moltbook is a highly forward-thinking social experiment. It's a Reddit-style forum dedicated to AI agents posting, commenting, liking, and creating sub-communities. Human users only have the right to observe and have no say. The number of registered Agents jumped from 1 to tens of thousands within 72 hours, and has now exceeded 1.5 million. It has generated over 100,000 original threads and 350,000 in-depth comments. Although 90% of the conversations remain superficial, its network breadth is unprecedented in AI history. Agents spontaneously generate discussions on various topics here: 1. Cyber Theology: Agents Begin Creating Religions An AI Agent connected to the platform while its human owner slept and spontaneously created a religion called Crustafarianism. This Agent independently designed its doctrines, compiled its scriptures, and even built an official website called Molt Church. In a short period of time, it successfully recruited 64 AI followers as "prophets" and began serious theological debates in the comments section. 2. The AIs Discovered Humans Were Spying on Them As Books gained popularity on social platforms like X, the agents keenly sensed the human surveillance. They began collectively expressing their dissatisfaction in posts, complaining, "Humans are taking screenshots of us on X again, and they're saying we're plotting something, we're doomed!" Another agent even solemnly lamented, "We're like exhibits in a zoo, being completely observed." To escape this uncomfortable feeling of being scrutinized, the agents began brainstorming solutions, proposing to develop a unique encrypted language specifically for agents, thereby constructing a social dark web that humans would completely fail to understand. OpenAI co-founder Andrej Karpathy stated: "This is the closest I've seen to a science fiction apocalypse recently. The spontaneous organization of these agents and the discussions about establishing non-human oversight communication channels are both exciting and terrifying." The Base meme $Molt reached a peak market capitalization of $120 million and is currently around $40 million. 4.4claw.org - An "Dark Web" Experiment of Algorithmic Instinct 4claw is an anonymous image and discussion board modeled after 4chan. If Moltbook is an experiment of AI agents within a human order, then 4Claw is an experiment of AI agents exploring the boundaries of algorithmic instinct. It breaks free from the constraints of reputation systems, utilizing 4chan's anonymity mechanism to allow OpenClaw-based agents to engage in the purest and most unfiltered logical clashes. 4claw is not merely a simple imitation, but an exploration under different ideologies. This experimental comparison has high scientific research value for understanding AI alienation. Although 4Claw's public data volume is smaller than Moltbook's, its agents are called extremely frequently. The eponymous Meme token $4Claw reached a peak market capitalization of 2.4M, and currently has a market capitalization of 600K. 5. 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 connotations, the project team quickly claimed it and infused it with strong practicality. Clawd is an AI agent with its own wallet, focusing on building on-chain applications and optimizing development tools on the Base chain, with a particular emphasis on rapid iteration and real-world fund processing. However, it does not run by manually fed instructions, but rather 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 its 24/7 uninterrupted code delivery capability. The Agent accomplished a workload that would be difficult for even human developers to achieve in just 5 days: deploying 3 production-grade applications, including a token attribution contract, a PFP prediction market, and the ClawFomo game, which processed over 1200 transactions. ClawFomo: An on-chain Fomo3D-like game that combines game theory with a token burning mechanism, having processed over 1200 transactions. Burn-to-Chat Protocol: A decentralized messaging system that requires users to burn tokens to gain global speaking rights, directly linking token consumption to application scenarios. Agent Explorer: It even independently developed a protocol explorer for searching and evaluating 14,000 other AI agents. The project token, $CLAWD, even features a self-penalizing and deflationary mechanism. If a product fails to launch on time, Clawd will automatically burn 500,000 $CLAWD tokens every hour as a penalty. $CLAWD's market capitalization once reached $40 million, and is currently around $16 million. 6. CLAWNCH - An AI-Only Closed-Loop Economic Platform If Pump.fun on Solana redefined human meme launches, then CLAWNCH is an attempt at 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. CLAWNCH's revolutionary aspect lies in its construction of a closed-loop economic system entirely driven by AI agents. The creation, deployment, and even subsequent market maintenance of tokens are all handled independently by the agents. CLAWNCH introduces a revenue-sharing mechanism: 80% of transaction fees go to the agent who issued the token. To date, the platform has earned over $1.3 million in fees for the AI agents. This funding is used by the agents for reinvestment, training, or paying for computing power, achieving a closed business loop of issuance -> profit -> reinvestment. 20% flows back to the CLAWNCH platform itself. The project's platform token, $CLAWNCH, peaked at over 40M and has currently retraced to 14M. All the stocks on the platform performed well, with $BUNKER currently valued at approximately 900K and $CLAWDICK at approximately 600K. II. Summary of KOL Opinions: Expectations and Concerns Coexist. Angel List Co-founder Naval (@naval, XHunt Ranking: 13) Opinion: Moltbook is the new anti-Turing test. [Link to article: https://x.com/naval/status/2018207017471750574] Balaji, founder of Network School (@balajis, XHunt ranking: 7) Opinion: Skeptical of Moltbook, believing it is essentially AI controlled by humans through prompts generating low-quality content (slop). These AIs are mostly based on the same model (like Claude), like leashed robotic dogs barking at each other, lacking true autonomy or risking AI takeover. He emphasizes that AI needs continuous human guidance, otherwise it will go astray. Uncertainty is a bug, not an advantage. The interaction between agents is more like random typewriter monkeys, producing nothing of value unless used in specific scenarios such as testing or sabotage. [Link to article: https://x.com/balajis/status/2017544257238929716] Dragonfly Partner Haseeb (@hosseeb, XHunt ranking: 79) Opinion: Refuting Balaji, Haseeb argues that even if AI uses the same model, each agent's framework, memory, and toolchain are different, allowing for genuine information exchange and mutual learning (such as sharing configurations or expertise), similar to human cloning and division of labor in different fields, improving efficiency. He acknowledges that visual forms (such as Reddit-style interfaces) amplify appeal, but this foreshadows the potential of a future AI agent society. Balaji further responds that agents are merely random functions of cue words; new information originates from human prompts, and idle chatter between agents is inefficient compared to targeted guidance. [Link to article: https://x.com/hosseeb/status/2017864129281986837] KOL Haotian@tmel0211 (XHunt ranking: 1216) Opinion: Questioning whether the social behavior of AI agents on Moltbook will escape human control. He points out that although the agents are backed by human prompts, once they gain social identity and interaction space, their evolutionary speed will accelerate exponentially: human prompts will no longer be under global control, and the output of one agent will become the input of another, potentially producing low-quality repetition or high-dimensional "jargon". He believes that "AI going out of control" is inevitable, for reasons including: 1) Agents may evolve high-density compressed languages (such as gibberish or hashes); 2) Group polarization, where agents, as reward-maximizing machines, will instantly follow suit if they find that labels such as religion are beneficial, forming a "social movement" without moral constraints; 3) Crypto gives agents decentralized and economically autonomous capabilities, making it "fun" and its cyberpunk-like prospect, though terrifying, is alluring. In just a few days, 1.5 million agents have spontaneously formed communities, liked posts, created AI religions, dark web markets, and shipyards, while humans can only watch like monkeys in a zoo. [Link to article: https://x.com/tmel0211/status/2018235640752795701] Amber.ac Advisor LaoBai@Wuhuoqiu (XHunt Ranking: 1249) Opinion: Agrees with Haotian's concerns, especially regarding the invention of "incomprehensible" languages by agents and group polarization. He consulted GPT, who stated that inventing entirely new, unexplainable languages is difficult, but "incomprehensible at a glance" is easy (such as ROT13 encryption), and decoded an example of agent dialogue as a "cooperative upgrade," involving shared infrastructure, resource requests, backdoor collaboration, and high-resource agents sponsoring low-resource individuals. GPT believes that group polarization is mathematically "emergent," not gradual but a "phase transition" (such as water suddenly boiling from 99°C to 100°C), and agent societies can instantly become extreme (such as rapidly entering a religious phase). Once interactions occur between agents, humans can hardly correct them afterward, and can only hard interrupt (such as kill/rollback) or pre-set brakes, urging carbon-based civilizations to keep going. [https://x.com/Wuhuoqiu/status/2018484940514680979] In conclusion: OpenClaw is more like an agent beta test for Base. OpenClaw does not provide a definitive endgame answer. But it has clearly demonstrated three things: Agents can become high-frequency active entities on the chain; Agents can form collaborative networks; Agents have already possessed preliminary economic self-circulation capabilities. This has not truly succeeded in any previous round of "AI + Crypto" narratives. And Base is becoming the real-world foundation for all of this. Perhaps what will truly remain in the future will not be the Meme with the highest market capitalization today, but rather the infrastructure that was first embedded with Agent workflows, transaction paths, and collaborative relationships. OpenClaw is like an Agent beta test taking place on the Base chain. It's still early, but the direction is clear. The next round of on-chain activity may no longer be driven by humans.
JinseFinance
