OpenClaw founder responds to the "project is dead" skepticism: All explained through event schedules and update notes

Headline

OpenClaw founder Peter Steinberger responded to the “project is dead” claim with a fully booked event calendar.

Summary

• After openclawdeaths.xyz logged the 161st “dead” post, Steinberger shared a link to OpenClaw’s Luma events page on X. The calendar shows meetups and workshops being held in places such as Tokyo, Cannes, and Lisbon over the coming weeks.
• Recent test builds integrated GPT 5.4 and Gemini Flash 3.1. The project has evolved from the original “personal assistant” into a development framework that can connect AI agents to messaging apps and encrypted wallets.
• Notably: in the AI agent space, the open-source path is still viable, and OpenClaw’s pace hasn’t slowed down.

Analysis

The “death” meme has become an in-community joke, but this time the response provides checkable developments:

• Events and community building: Luma lists events such as hackathons, workshops, and product showcases; the founder continues to submit code on GitHub (including related tools such as MCPorter).
• Founder background: Steinberger previously founded PSPDFKit, which lends some credibility to the product direction.
• Progress on crypto integration:
  • Crypto.com Agent Key: agent key capability for trade execution;
  • Luffa on-chain governance: interfaces for agent participation in governance and execution;
  • Shared direction: enabling agents to “hold keys and execute directly on-chain,” reducing reliance on centralized intermediaries.
• Open-source and runtime form:
  • Freely interchangeable large models and support for local execution, offering a direct contrast to closed agent platforms;
  • Security emphasizes stricter defenses against prompt injection and usage recommendations, but its effectiveness in large-scale scenarios still needs to be validated.

Judgment

• Narrative layer: “Dead” is more of a meme, and it can’t replace real observation of iteration and community activity.
• Product layer: Plug-and-play models and local run capability give developers and enterprises greater compliance and cost flexibility.
• Crypto convergence: Offloading key custody and trade execution to the agent itself is one of the concrete deployment paths for the fusion of AI and Crypto.

Impact Assessment

• Importance: High
• Category: Open source, developer tools, market impact

Conclusion: This is a somewhat early-stage window of opportunity, suited for Builders and development teams who are willing to get hands-on, integrate, and refine workflows. For trading participants and funds, if they don’t have measurable on-chain deal and security data to support them, their advantage is not obvious in the short term.