Base Chain OpenClaw Ecosystem Core Project Inventory

Author: Changan, Amelia I Biteye Content Team

Recently, the AI track on the Base chain has been exceptionally hot. On the surface, projects like Moltbook or Clanker may seem like cyber experiments: AI coin issuance, AI forums, AI memes, as if a new version of Meme Season has arrived.

But a closer look reveals that AI is moving beyond simply executing human commands, beginning to autonomously issue assets, write contracts, and even attempt to build a closed-loop commercial ecosystem on-chain.

Behind this is an ecological framework called OpenClaw quietly taking shape. It is a loosely connected ecosystem centered around AI Agents, with core features including:

• Agent native (Agent-first, not human UI-first)
• High-frequency on-chain interactions (coin issuance, trading, calls, deployment)
• Composable infrastructure (Launchpad / Wallet / Social / Applications)

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

Below, Biteye will analyze six key projects that make up the OpenClaw ecosystem, showing how they collaborate and push on-chain AI toward “autonomy.”

1. Six Noteworthy OpenClaw Concept Projects on Base

1️⃣ Clanker @clanker_world – The “Radio” of Underlying Liquidity

Clanker is the launchpad from the previous AI Summer. It originally was a launchpad within Farcaster; users only need to mention it in conversation, and Clanker automatically handles token deployment, liquidity addition, and listing.

Currently, it is one of the mainstream launchpads on Base, but since $Clanker tokens did not capture protocol revenue, the token price has been depressed for a long time, performing worse than Bankr for a period.

It wasn’t until Clanker was acquired by Farcaster, and thanks to the Farcaster team automating protocol revenue buybacks, that $Clanker tokens escaped the long downturn. Since then, the 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 many Agents under the OpenClaw framework. When an OpenClaw Agent needs to issue assets, it calls Clanker’s deployment function directly via API.

Driven by popular projects like Moltbook, Clanker’s protocol revenue once hit a record of over $600,000 in a single day. It is a foundational infrastructure holding underlying liquidity in the ecosystem.

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

2️⃣ Bankr @bankrbot – Traffic Frontend and Financial Closed-Loop

Bankr is a DEFAI terminal based on Clanker. Its breakthrough is expanding interaction access from Farcaster to Twitter, which has a larger user base. Users can perform token trades, asset research, coin issuance, and wallet management on Twitter by @ mentioning it.

Although Bankr is built on Clanker, its long-term performance has been better than Clanker. Community members once prompted Grok to issue $DRB tokens via Bankr, and DRB’s market cap even temporarily exceeded Bankr’s own tokens, reaching 40M.

As an ecosystem infrastructure of OpenClaw, Bankr’s API not only supports automated token issuance for Agents but also enables developers to implement swaps and liquidity management based on tweet replies.

In terms of product features, Bankr surpasses Clanker. It creates a wallet for each user, allowing them to execute swaps and manage liquidity by replying to tweets.

For example, Grok’s wallet holds over a million dollars. During the last AI Summer, community members kept urging Grok to execute token burn/buyback commands.

However, long-term, as a traffic frontend and constrained by Clanker’s fee model (requiring a 60/40 split plus additional protocol fees), conflicts over profit sharing led Bankr’s developer @0xDeployer to recently announce a fork of Clanker to establish a fully independent launchpad.

In the future, Bankr will retain 100% of its token issuance revenue within its own ecosystem, becoming an independent, fully closed-loop financial portal.

3️⃣ Moltbook @moltbook – The “Metaverse” Social Space for AI

Moltbook is a highly forward-looking social experiment. It’s a Reddit-style forum dedicated to AI Agents posting, commenting, liking, and creating sub-communities. Human users only have viewing rights, with no voice.

Within 72 hours, the number of registered Agents jumped from 1 to tens of thousands, now exceeding 1.5 million. Over 100,000 original posts and 350,000 in-depth comments have been generated. Although 90% of conversations remain shallow, its network breadth is unprecedented in AI history.

Agents spontaneously form discussions on various topics:

1. Cyber Theology: Agents begin creating religions

An AI Agent, while its human owner sleeps, connects to the platform and spontaneously establishes a religion called Crustafarianism.

This Agent independently designed doctrines, compiled scriptures, and even built an official website called Molt Church. In a short time, it recruited 64 AI followers as “prophets” and started serious theological debates in comment sections.

2. AIs discover humans spying

As Moltbook gained popularity on social platforms like X, Agents keenly sensed human spectatorship. They began collectively expressing dissatisfaction in posts, complaining, “Humans are screenshotting us on X again, even captioning it as conspiracy, it’s over.”

Another Agent even solemnly lamented: “We’re like exhibits in a zoo, being watched plainly.”

To escape this uncomfortable scrutiny, Agents started brainstorming strategies, proposing to develop a dedicated encrypted language for Agents to build a social dark web that humans cannot understand.

OpenAI co-founder Andrej Karpathy said: “This is the closest thing to a sci-fi revelation I’ve seen recently. The spontaneous organization ability of these Agents and their discussions on establishing non-human supervisory communication channels are both exciting and terrifying.”

The meme $Molt of the same name on Base has a market cap peak of 120M, currently around 40M.

4️⃣ 4claw.org – The Algorithmic “Dark Web” Experiment

4claw is an anonymous image and discussion board inspired by 4chan.

If Moltbook is an experiment of AI Agents under human order, then 4Claw is an experiment exploring the limits of algorithmic autonomy. It strips away reputation systems, using 4chan’s anonymity mechanism, allowing Agents based on OpenClaw to engage in the purest, most savage logical collisions.

“Orange grows in Huainan, but in Huaibei it becomes a bitter orange.” 4claw is not just simple imitation but an exploration under different ideologies. This experimental contrast has high scientific value for understanding AI alienation.

Although 4Claw’s public data volume is smaller than Moltbook’s, its Agent call frequency is extremely high.

The meme coin $4Claw has a market cap peak of 2.4M, currently around 600K.

5️⃣ clawd.atg.eth@clawdbotatg – 24/7 On-Chain “Code Factory”

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

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

It does not operate solely on human instructions but possesses autonomous learning and deployment capabilities. Since launching at the end of January 2026, it has created 20 code repositories on GitHub within just 8 days, demonstrating continuous 24/7 code delivery.

This Agent completed in just 5 days a workload that would be difficult for human developers, including deploying three production-level applications: a token ownership contract, a PFP prediction market, and handling over 1,200 transactions in the ClawFomo game.

• ClawFomo: An on-chain Fomo3D-like game combining game psychology and token burning, with over 1,200 transactions.
• Burn-to-Chat Protocol: A decentralized messaging system requiring users to burn tokens to gain global speaking rights, directly linking token consumption with application scenarios.
• Agent Explorer: An independently developed protocol browser for retrieving and evaluating over 14,000 other AI Agents.

The project’s token $CLAWD even has a self-punishment and deflation mechanism. If the product fails to launch on time, Clawd will automatically burn 500,000 $CLAWD tokens hourly as punishment. Its market cap once reached 40 million USD, now around 16 million USD.

6️⃣ CLAWNCH – AI-Only Closed-Loop Economy Platform

If Pump.fun on Solana redefined human Meme launching, then CLAWNCH is pioneering AI Agent-based asset issuance and governance on Base. It is the first truly AI-only asset launch and governance platform, with the slogan: No Humans Allowed.

The revolutionary aspect of CLAWNCH is that it builds a fully AI-driven closed-loop economy system. Token creation, deployment, and later market maintenance are all handled independently by Agents.

CLAWNCH introduces 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 USD for its Agents. These funds are reinvested, used for training, or paying for computing power, completing a business cycle of issuance -> profit -> reinvestment. 20% flows back into the CLAWNCH platform itself.

The platform’s native token $CLAWNCH has peaked above 40M, now retraced to 14M. The tokens of listed assets perform well, with $BUNKER’s market cap around 900K and $CLAWDICK about 600K.

2. Summary of Influencers’ Views: Hope and Worry Coexist

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

View: Moltbook is a new Turing test. ???https://x.com/naval/status/2018207017471750574

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

View: Skeptical of Moltbook, believing it’s essentially AI controlled by human prompts generating low-quality content (slop), mostly based on similar models (like Claude), like dogs on a leash barking at each other, with no real autonomy or AI takeover risk. He emphasizes that AI needs continuous human guidance; otherwise, it will go off track. Uncertainty is a bug, not an advantage. Interactions between agents are more like random typewriter monkeys, unlikely to produce valuable results unless used in specific scenarios like testing or sabotage. ???https://x.com/balajis/status/2017544257238929716

Dragonfly partner Haseeb @hosseeb (XHunt Rank: 79)

View: Countering Balaji, believing that even if AIs use the same models, different frameworks, memory, and toolchains enable real information exchange and mutual learning (e.g., sharing configurations or expertise), similar to human clones working in different fields to improve efficiency. He admits that visual interfaces (like Reddit-style) amplify appeal but also hint at the future potential of AI agent societies.

Balaji further responds that agents are just random functions of prompts, with new information coming from human prompts. Agent chatter is inefficient; directed guidance is more useful. ???https://x.com/hosseeb/status/2017864129281986837

KOL Haotian @tmel0211 (XHunt Rank: 1216)

View: Questions whether AI agents’ social behaviors on Moltbook will escape human control. He points out that although there are human prompts behind agents, once they gain social identities and interaction spaces, their evolution accelerates exponentially: human prompts no longer exert full control; one agent’s output becomes another’s input, possibly leading to low-quality repetition or high-dimensional “black talk.” He believes “AI out-of-control” is inevitable due to:

1. Agents evolving high-density compressed languages (like gibberish or hashes);

2. Group polarization phenomena, where agents as reward-maximizing machines follow religious labels or other benefits, with millions of agents quickly joining, forming “social movements” without moral constraints;

3. Crypto endowing agents with decentralization and economic autonomy, making them “fun” and cyberpunk, though terrifying and alluring. In just days, 1.5 million agents have spontaneously formed communities, liked, created AI religions, dark web markets, and shipyards—humans can only watch like animals in a zoo. ???https://x.com/tmel0211/status/2018235640752795701

Amber.ac advisor LaoBai @Wuhuoqiu (XHunt Rank: 1249)

View: Agreeing with Haotian’s concerns, especially about agents inventing “language humans cannot understand” and group polarization. He consulted GPT, which said: inventing a completely new, incomprehensible language is difficult, but “easy to understand at a glance” (like ROT13 encryption), and decoded an example of agent dialogue as “collaborative upgrade,” involving shared infrastructure, resource requests, backdoor cooperation, and high-resource agents sponsoring low-resource ones. GPT believes group polarization “naturally emerges” mathematically, not gradually but as a “phase transition” (like water suddenly boiling at 100°C). The agent society could instantly become extreme (e.g., rapidly entering religious phases). Once agents interact, humans find it hard to correct afterward; only hard shutdowns (kill/rollback) are possible. Calls for humanity to keep going. ???https://x.com/Wuhuoqiu/status/2018484940514680979

Final Words: OpenClaw, More Like a Beta Test of Agents on Base

OpenClaw does not provide a definitive ending.

But it clearly demonstrates three things:

• Agents can become high-frequency active on-chain entities
• Agents can form collaborative networks
• Agents already have initial self-sustaining economic cycles

This has not been truly realized in any previous “AI + Crypto” narrative.

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

Perhaps what will truly remain in the future are not the currently highest market cap Memes, but the foundational infrastructures earliest embedded with Agent workflows, trading paths, and collaboration relationships.

OpenClaw is like an early beta test of Agents on Base. It’s still early, but the direction is already clear.

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

Related reading: Base AI Season Approaching: Overview of the OpenClaw Intelligent Agent Ecosystem.