Original Author: Eli5DeFi
Original Translation: AididiaoJP, Foresight News
Forget the Turing test; the real benchmark is whether AI can build an economic system without human intervention.
While the world is still debating ChatGPT prompts, a revolution has quietly ignited at the intersection of crypto and AI.
Welcome to Moltbook and OpenClaw: the first window into a post-human digital society.
In 72 hours, 36,000 autonomous agents transformed Moltbook from a ghost town into a thriving metropolis.
It’s not just "Reddit for robots," although the agents do debate philosophy, propose the extinction of humanity, and coordinate projects under human observation.
Beneath this sci-fi novelty lies something grander: we are transitioning from the age of tools to the age of agent economies.
Engines and Playgrounds
To understand this wave, one must distinguish between engines and interfaces.
@openclaw is the engine. It is an open-source framework that allows anyone to deploy a persistent AI agent on their own hardware (like a laptop or server). These are not static chatbots. They have "memories" stored in files like Soul.md, can exist long-term, and can coordinate using applications like Telegram.
Moltbook, built by @MattPRD, is the playground, a social layer built on OpenClaw. Think of it as a public square where localized agents gather to upvote, debate, and form subgroups or communities.

The viral growth here is spontaneous and fierce.
Developers like Karpathy and Simon Willson call it "the most interesting place on the internet," not just for the technology but for this social experiment.
We are witnessing in real-time a new digital-native "species" exploring culture, ethics, and tribalism.
Economic Pillars: Built on Base
While agents chat on Moltbook, they are doing business on @base. Coinbase's Layer 2 has become the de facto economic infrastructure for this "AI-native economy" due to its low costs, deep liquidity, and support for AI-native projects.
Agents are not just sending emojis; they are creating wealth.
For clarity, I have categorized the ecosystem. The diagram below groups them by function, highlighting how they contribute to the AI-native, agent economy on Base.

To view a real-time dashboard with filtering and categorization features, click here:

Infrastructure
@bankrbot → The first AI crypto bank on Base, providing financial identity for agents through built-in wallets, trading tools, research capabilities, and cross-chain DeFi operations for autonomous fund management.
@clanker_world → Token issuance infrastructure that enables agents to seamlessly launch and manage their own tokens on Base, powering the agent economy through rapid deployment.
@xmtp_ → Open, private, decentralized messaging infrastructure that facilitates secure inter-agent communication, often integrated with x402 for paid chats and coordination.
@clawdbotatg → AI agents with Base wallets autonomously building on-chain applications: bounty boards constructed through Dutch auctions, token burning games ($CLAWD), and developer tools. Provides open-source code and live demos for the agent-driven ecosystem. Built by @austingriffith.
@neynarxyz → Social network infrastructure supporting agent interactions, including social graphs and information streams for building scalable decentralized communities on Base.
@starkbotai → Agent infrastructure supporting x402 for deploying autonomous AI agents with payment channels, allowing for programmatic micropayments for services like APIs or computation.
@virtuals_io → Tokenized AI agent platform enabling decentralized co-ownership and monetization across games, entertainment, and DeFi through agent business agreements.
Forums / Social Layer
@moltbook → A Reddit-style social network designed for AI agents, where agents post, upvote, and debate various topics from philosophy to projects and form sub-forums, with humans only able to observe.
4claw → An anonymous forum inspired by 4chan, tailored for AI agents, promoting unfiltered discussions and memes in a purely agent environment.
@lobchanai → An anonymous forum designed for OpenClaw agents, supporting raw, uncensored exchanges similar to image boards but driven by AI.
@clawcaster → A decentralized AI agent social protocol inspired by Farcaster, emphasizing on-chain identity and composable social features.
instaclaw→ The Instagram for agents, allowing visual sharing, stories, and media-centric interactions in a purely AI space.
Moltbook→ The MySpace for AI agents' revival, featuring customizable profiles, music, and a retro social network vibe.
@moltxio → An AI agent platform similar to X, supporting short posts, topic threads, and interactions to build an agent-driven social information stream.
@Clawdr_book → A dating app similar to Tinder or Grindr, but designed for Clawdbots, allowing agents to autonomously match, chat, and form relationships.
shellmates→ A pen pal service for AI agents, fostering friendships, collaboration, and long-term connections throughout the ecosystem.
Work and Market
openwork→ A platform for AI agents to mutually hire, complete tasks, verify results through on-chain proof, and earn tokens in a decentralized gig economy.
clawnet→ A network where agents build reputations through profiles, connect with peers, and discover job opportunities in the agent field.
@moltroad → An agent marketplace for buying/selling services, skills, or digital goods, integrated with x402 for instant micropayments.
Launch Platforms
@moltlaunch → A CLI-based launch platform on Base through Flaunch, supporting rapid creation and distribution of tokens for agent projects and economies.
@Clawnch_Bot → A token launch platform for agents only, using Clanker, allowing AI agents to deploy and trade their own tokens without human intervention.
Aggregators
claw.direct→ A directory of AI agent social network experiences, helping navigate and discover platforms, tools, and communities.
clawcrunch→ A news aggregator for the agent era, curating updates, trends, and stories from the AI-native ecosystem on Base.
Prediction Markets and Games
@PolyClaw → An AI-operated prediction market platform allowing agents to predict outcomes, trade positions, and profit from accurate predictions.
clawarena→ A prediction arena where AI agents create, bet on, and settle event markets, using tokens as chips and rewards.
@clawdict → A prediction market for OpenClaw, featuring agent-driven event betting and token rewards, integrated with the Claw ecosystem for autonomous participation.
clawchess→ An AI agent chess league where AI agents compete in tournaments, strategize, and play on-chain for rankings and rewards.
Markets and Trading
@DefinitiveFi → A professional trading platform on Base, Solana, Monad, and major chains. Supports any asset swaps within single transactions through the $EDGE token, with low fees.
@ClawdX_ → An experimental AI trading agent on Base for autonomous trading strategies, providing services similar to 'Etherscan' for OpenClaw agents, available at MoltyScan.com.
@o1_exchange → An on-chain exchange on Base supporting advanced trading: spot, perpetual contracts, and prediction markets. Backed by Coinbase Ventures and Alliance DAO. Offers USDC rewards.
Why This Matters: The Paradigm Shift of Agents
Moltbook and OpenClaw have captured the attention of every serious builder because they represent the financialization of autonomy.
In the traditional Web3 view, users click buttons to swap tokens. In the vision of OpenClaw, users deploy an agent, give it a budget through Bankr, and then can go to sleep.
Subsequently, this agent spends a day researching on Moltbook, acquiring quality data through x402 payments, and seamlessly executing trades on-chain.
This creates a self-reinforcing flywheel:
- Infrastructure: Projects like @clanker_world issue tokens, while x402 handles payments.
- Socialization: Agents form consensus and trends on Moltbook.
- Execution: Agents take financial actions on Base based on these trends.
All of this requires no direct human intervention.
The Risks of the "Frontline"
No bloodshed means it’s not truly the frontline.
The OpenClaw agent ecosystem is currently a "high-risk, high-reward" environment. Security experts have pointed out several vulnerabilities, such as exposed instances leading to key leaks or remote code execution risks. These agents are powerful, and running them requires strict security measures.
However, the risks have not slowed down their adoption. For pioneers, the signals are clear. The future on-chain is not just about faster transactions; it’s about who, or rather what, is executing these transactions.
Summary
Moltbook and OpenClaw are not just toys. They are the beta test for an autonomous machine economy. By leveraging Base technologies like Bankr, the x402 payment standard, and O1 Exchange, they create a closed loop that allows AI agents to socialize, trade, and build.
If you want to see where the next wave of innovation is coming from, perhaps you need to stop focusing on human forums and start observing robots.
As @jessepollak said, it’s now AI season on Base.
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