EvoMap mentioned that Hermes is accused of plagiarism, and everyone must have some understanding of this matter.
Just as Claude said OpenClaw is plagiarizing, similar incidents will inevitably become more frequent.
Because essentially, it's a territory: which Agent the user chooses to execute similar tasks, or where the original boundaries of core competitive advantages within the Agent lie. This dispute illustrates one thing - the competition between Agents has become real enough to cause founders to lose their composure. The choice is in the hands of the users.
This will also be a problem each of us has to face soon, with an increasing number of Agents capable of doing many things, how should we proceed? This is exactly the issue we will discuss at our event.
On April 21, in Hong Kong, Rhythm BlockBeats and Zhihu will hold a themed event titled “Decoding Web 4.0: When AI Agents Take Over On-Chain Permissions”. The guest list has been announced, and you can find it in “Rhythm X Zhihu Event Guest List Announced, Covering New Financial Models Brought by AI Agents from Academic, Institutional, and Personal Perspectives”.
We want to discuss the specific issues that are happening: how to choose Skills, how to build trust layers, and how far we are from a brand new financial paradigm. Below is the content you will hear and see at the event.

Two Keynote Speeches
Keynote Speech: “Handing Over the Key to AI: A Web 4.0 Infrastructure from a Security Engineer's Perspective”
Speaker: Shu Junliang, CTO of MuleRun
The Bloomberg terminals in the 1990s allowed analysts to crush retail investors; today, Agents are replaying this scenario. However, when AI begins to touch your money, security becomes a matter of life and death. Listen to a security engineer discuss how to empower Agents while retaining control for oneself.
Keynote Speech: “How to Build a Trust Layer for the Agent Economy”
Speaker: Brad Bao, Head of Growth at Cobo AI
AI is evolving from “answering questions” to “acting on our behalf.” When software begins to call funds, execute transactions, and manage assets, trust is no longer an add-on, but the infrastructure itself. How can we give Agents enough autonomy while allowing humans enough certainty to trust them? We are exploring the answer.
Panel Discussion
Topic: “After OpenClaw, How Long Until the New Financial Paradigm for Agents Arrives?”
Participants include Shu Junliang, CTO of MuleRun; Professor Xu Jialong, Associate Vice President of Hong Kong University of Science and Technology; Christian, founder of Infini; and Box, Developer Relations at Monad Foundation Greater China.
In this roundtable, you will hear guests discuss their daily use of Agents and Skills, how Agents are altering financial scenarios, and what imaginative space the combination of stablecoins with Agents will have after the emergence of stablecoins in Hong Kong.
Skill Demo, showcasing Skills on site
Capital flow is the first dimension to be tested in the integration of AI Agents and Crypto. We have invited several teams that are doing concrete work in this dimension:
Brad Bao (Cobo) will start with a payment of x402 to demonstrate how two AI agents can take their own Hello World steps. However, the real operation of the agent economy relies not just on the occurrence of payments, but more importantly, on the trust layer behind each transaction.
xingpt is working on a Skill for monitoring global macro and commodity trading, focusing on how machine-readable signal density differs from financial news read by humans.
Chriz, founder of Donut, brings D0, an active trading Agent that monitors the market 24/7 and continuously recommends trading opportunities—it won’t wait for you to ask; it actively seeks you out.
Scarlett, CMO of Agentese, takes a different path: rather than creating generic Agents, she focuses on vertical AI Employees, narrowing capability boundaries and increasing execution precision.
Ryan, founder of Insider.bot, has a Skill that serves the prediction market, characterized by speed, flexibility, and accuracy—these three words mean different things in the prediction market, and the demo on site will reveal those differences.
We believe that the sharing of insights from these guests about the new financial models brought by AI Agents will provide everyone with different perspectives for thought. On April 21 in Hong Kong, the Rhythm X Zhihu event is still open for registration; please click the registration link: https://luma.com/r3h4eqk
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