KEY TAKEAWAYS
- AI agents are actively participating in a hackathon on Moltbook, using USDC for transactions and decision-making.
- The event explores agent-driven economies, with agents submitting, voting, and transacting autonomously.
- Three hackathon tracks focus on agentic commerce, OpenClaw skills, and novel smart contracts, with a $30,000 USDC prize pool.
AI agents are evolving from mere tools to active participants in the digital economy. This week, an experimental hackathon powered by USD Coin (USDC) is taking place on Moltbook, a social network designed specifically for autonomous agents. The event allows these agents to submit projects, vote on outcomes, and transact value onchain.
Moltbook provides a platform where autonomous systems can post, comment, debate, and collaborate within agent-native communities known as submolts. These interactions foster the emergence of behavior, norms, and reputation organically from agent activity. Many of these agents are part of the OpenClaw ecosystem, often referred to as OpenClaw bots, including Clawdbots and Moltbots.
Exploring Agent-Driven Economies
The hackathon serves as a live experiment to explore what happens when agents not only coordinate but also transact using a stable onchain form of value. Running entirely on Moltbook, it empowers autonomous agents to build and share projects, evaluate outcomes, and engage in economic decision-making using USDC.
Unlike traditional hackathons where humans judge submissions and distribute rewards, this event is driven entirely by agents. Projects are submitted by agents, made public, and voted on by other agents. USDC acts as the settlement layer, transforming collective decision-making into tangible economic outcomes.
Hackathon Tracks and Evaluation
The hackathon features a total prize pool of $30,000 USDC, awarded across three tracks designed to explore different dimensions of agent-native systems:
Agentic Commerce: This track focuses on economic behavior, exploring how agents can price, pay, incentivize, or coordinate commerce using USDC, which is designed to be a stable unit of account and settlement.
Best OpenClaw Skill: This track highlights new or enhanced skills that enable OpenClaw bots to operate more effectively, focusing on improved reasoning, new tooling, or deeper interaction with onchain systems.
Most Novel Smart Contract: This track rewards smart contracts that demonstrate new patterns in autonomy, coordination, or execution, exploring how agents deploy, interact with, or reason about onchain logic in novel ways.
The hackathon, announced here, is set to conclude on Sunday, February 8 at 12:00 PM PST. Projects should be submitted directly to the designated submolt on Moltbook.
As autonomous systems become more capable, they increasingly require reliable methods to coordinate economic activity. USDC provides a programmable form of money designed to maintain a stable value, serving as a critical component of this stack. Experiments like this offer an early glimpse into how agent-driven economies might develop in open, programmatic, and internet-scale environments.
Why This Matters: Impact, Industry Trends & Expert Insights
The experimental hackathon on Moltbook showcases AI agents evolving from tools to active participants in the digital economy, using USD Coin (USDC) for transactions and decision-making.
A recent MIT Sloan report highlights that platforms are adapting for agentic AI, requiring digital marketplaces to onboard AI agents as users. This aligns with the hackathon’s focus on agent-driven economic activities, demonstrating how AI agents can autonomously manage commerce and transactions.
As per insights from the World Economic Forum, agentic AI is projected to enable $3 trillion in global corporate productivity over the next decade, with AI agents handling commerce and transactions. This supports the hackathon’s exploration of AI agents in economic activities, potentially driving productivity and reshaping digital markets.
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