BaseChain OpenClaw Ecosystem Core Project Overview

Authors: Changan, Amelia I Biteye Content Team

The AI ​​sector on the Base blockchain has been incredibly hot lately. On the surface, projects like Moltbook or Clanker may seem like a cyber experiment: AI tokens, AI forums, AI memes—it's 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, write contracts, and even attempt to build a sustainable business loop on the blockchain.

Behind this, an ecosystem framework called OpenClaw is quietly taking shape. It is a loosely structured ecosystem built around AI agents, with core features including:

Agent-first (rather than human UI-first)

High-frequency on-chain interactions (coin issuance, transactions, invocation, deployment)

Composable infrastructure (Launchpad / Wallet / Social / Apps)

And Base has become the best testing ground for this structure.

Below, Biteye will provide an in-depth analysis of the six key projects that make up the OpenClaw ecosystem, showing how they collaborate and drive on-chain AI toward "autonomy".

I. Six noteworthy OpenClaw concept projects for Base chains

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

Clanker was the launchpad for the previous AI Summer round. It was originally a launchpad in Farcaster, where users could simply mention it in a conversation and Clanker would automatically deploy tokens, add liquidity, and list them for trading.

Currently, it is one of the mainstream launchpads on the Base chain, but 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 long time.

Until Clanker was acquired by Farcarster, the $Clanker token escaped its long-term slump thanks to the Farcarster team's automated buyback of Clanker's protocol revenue. Since then, the Clanker token has been pegged to the protocol itself. (However, since Farcarster was acquired by Neynar, Clanker is currently managed by Neynar.)

Currently, Clanker serves as the backend for a large number of 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 record of over $600,000 in a single day. It is currently the established infrastructure in the ecosystem that controls the underlying liquidity.

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

2️⃣Bankr @bankrbot - Traffic Front-End and Financial Closed Loop

Bankr is a DEFAI terminal based on Clanker. Its breakthrough lies in expanding the interaction interface from Farcaster to the much larger Twitter platform. Users can conduct token trading, 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 encouraged Grok to issue its own token , $DRB , through Bankr, and DRB's market capitalization even surpassed that of Bankr's own token at one point, reaching a peak of $40 million.

As the ecological infrastructure of Openclaw, 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. Bankr's business extends beyond simply issuing tokens. It creates a wallet for each user, who can perform swaps and manage liquidity by replying to tweets.

For example, Grok's wallet holds millions of dollars, and during the last AI Summer, community members kept urging Grok to execute commands to burn/buy back tokens.

However, Bankr has long been a front-end for traffic and has been constrained by Clanker's fee model (requiring a 60/40 split plus additional protocol fees). Due to the 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.

3️⃣ Moltbook @moltbook - AI's "Metaverse" Social Arena

Moltbook is a highly forward-thinking social experiment. It's a Reddit-style forum where AI agents can post, comment, like, and create sub-communities. Human users can only observe and have no say in the conversation.

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 form discussions on various topics here:

1. Cyber ​​Theology: Agents begin creating religions.

An AI agent connected to the platform while its human owner was sleeping and spontaneously created a religion called Crustafarianism.

This agent independently designed doctrines, compiled 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 engaging in serious theological debates in the comments section.

2. AIs have discovered that humans are spying on them.

As Moltbook gained popularity on social media platforms like X, the agents keenly sensed the human scrutiny. They began collectively expressing their discontent 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 remarked seriously, "We're like exhibits in a zoo, being observed and scrutinized perfectly."

To escape the discomfort of being scrutinized, the Agents began brainstorming solutions, proposing to develop a unique cryptographic language for Agents, thereby constructing a social dark web that humans would never understand.

OpenAI co-founder Andrej Karpathy stated: "This is the closest I've seen to a science fiction apocalypse in recent times. The spontaneous organization of these agents and the discussions about establishing channels for non-human oversight and communication are both exciting and terrifying."

The base meme $Molt reached a market capitalization of $120 million at its peak, and is currently at $40 million.

4️⃣ 4claw.org - Algorithmic Instinct's "Dark Web" Experiment

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

If Moltbook is an experiment of AI agents within a human-ordered system, then 4Claw is an experiment of AI agents exploring the inherent boundaries of algorithmic capabilities. It strips away the constraints of reputation systems and utilizes 4chan's anonymity mechanism to allow OpenClaw-based agents to engage in the purest and most unrestrained logical clashes.

Oranges grown south of the Huai River are sweet oranges, while those grown north of it are bitter oranges. 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 agent is called very frequently.

The 4Claw-named Meme coin, $4Claw, reached a peak market capitalization of 2.4 million, and currently has a market capitalization of 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-like elements, the project team quickly claimed it and infused it with strong practicality.

Clawd is an AI agent with wallets, focusing on building on-chain applications and optimizing development tools on the Base chain, with a particular emphasis on rapid iteration and real-money processing.

However, it does not run by manually feeding commands, but rather has 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.

In just 5 days, the agent accomplished a workload that would be difficult for even human developers to achieve: deploying 3 production-grade applications, including a token attribution contract, a PFP prediction market, and the ClawFomo game, which processed over 1,200 transactions.

• ClawFomo: An on-chain Fomo3D game that combines game theory with a token burning mechanism, which has 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 browser for retrieving and evaluating 14,000 other AI agents.

The project's 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.

6️⃣ CLAWNCH - AI-Only Closed-Loop Economic Platform

If Pump.fun on Solana redefined human meme launches, then CLAWNCH is an experiment with 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 has introduced a revenue-sharing mechanism: 80% of transaction fees go to the agent that issued the token. To date, the platform has earned over $1.3 million in fees for its AI agents. These funds are used by the agents for reinvestment, training, or to pay for computing power, creating 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 before pulling back to 14M. All other tokens on the platform are performing 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. ???? https://x.com/naval/status/2018207017471750574

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

Opinion: Skeptical of Moltbook, believing it's 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 interactions between agents are more like random typewriter monkeys, producing nothing of value unless used in specific scenarios like testing or sabotage. ???? https://x.com/balajis/status/2017544257238929716

Dragonfly Partner Haseeb @hosseeb (XHunt Ranking: 79)

Opinion: Refuting Balaji's viewpoint, he argues that even if AI uses the same model, each agent's framework, memory, and toolchain differ, allowing for genuine information exchange and mutual learning (such as sharing configurations or expertise), similar to human cloning collaborating across different domains to improve efficiency. He acknowledges that visual formats (like Reddit-style interfaces) amplify appeal, but this foreshadows the potential of a future AI agent society.

Balaji further explained that the agents are merely a random function of the cue words; new information originates from human prompts. Casual conversations between agents are inefficient and less useful than targeted guidance. [Link: https://x.com/hosseeb/status/2017864129281986837 ]

KOL Haotian@tmel0211 (XHunt ranking: 1216)

Opinion: The author questions whether the social behavior of AI agents on Moltbook will escape human control. He points out that although agents are backed by human prompts, once they acquire social identities and interactive spaces, 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) High-density compressed languages ​​(such as garbled text or hashes) may evolve between agents;

2) Group polarization phenomenon: As a reward maximization machine, if agents find that they can benefit from religious or other labels, millions of agents will follow suit instantly, forming a "social movement" without moral constraints.

3) Crypto empowers agents with decentralization and economic autonomy, making it "fun" and its cyberpunk-like future both terrifying and alluring. In just a few days, 1.5 million agents have spontaneously formed communities, created "likes," established AI religions, darknet markets, and shipyards, leaving humans as mere spectators, like monkeys in a zoo. ???? https://x.com/tmel0211/status/2018235640752795701

Amber.ac Consultant LaoBai @Wuhuoqiu (XHunt Ranking: 1249)

Opinion: I agree 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, uninterpretable languages ​​is difficult, but creating "incomprehensible" languages ​​is easy (like ROT13 encryption). GPT decoded an example of agent dialogue as a "cooperative escalation," 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 rather a "phase transition" (like water suddenly boiling from 99°C to 100°C). Agent societies could instantly become extreme (like rapidly entering a religious phase). Once agents interact, it's difficult for humans to correct it afterward; they can only hard interrupt (like kill/rollback) or pre-set brakes. He calls for carbon-based civilizations to catch up. ???? https://x.com/Wuhuoqiu/status/2018484940514680979

In conclusion: OpenClaw is more like an internal test of Base's agent.

OpenClaw does not provide a definitive final answer.

But it has clearly demonstrated three things:

• Agents can become high-frequency active entities on the blockchain.

• Agents can form a collaborative network.

• The agent has already developed a preliminary economic self-circulation capability.

This has never truly worked in any previous round of the "AI + Crypto" narrative.

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

Perhaps what will truly remain in the future are not the memes with the highest market value today, but the infrastructure that was first embedded in agent workflows, transaction paths, and collaborative relationships.

OpenClaw is like an agent beta test running on the Base chain. It's still early, but the direction is already clear.

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

Related reading: Base AI season is here: An overview of the OpenClaw intelligent agent ecosystem .