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

Toutiao

OpenClaw’s founder Peter Steinberger addressed the “the project is dead” claims with a packed events calendar.

Summary

• openclawdeaths.xyz logged after the 161st “dead” post, and on X, Steinberger shared a link to OpenClaw’s Luma events page. The calendar shows meetups and workshops in places like Tokyo, Cannes, and Lisbon over the next few weeks.
• Recent test versions 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 track, the open-source path is still viable, and OpenClaw’s momentum hasn’t stopped.

Analysis

“The dead” meme has become an internal joke in the community, but this response provides verifiable leads:

• 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 like MCPorter).
• Founder background: Steinberger previously founded PSPDFKit—this track record lends some credibility to the product direction.
• Crypto integration progress:
  • Crypto.com’s Agent Key: agent key capability for trade execution;
  • Luffa’s on-chain governance: an interface for AI agents to participate in governance and execution;
  • Common direction: enabling agents to “run with keys and execute directly on-chain,” reducing reliance on centralized intermediary layers.
• Open-source and runtime form:
  • You can freely swap out large language models and support local execution, forming a direct contrast to closed agent platforms;
  • On security, there’s an emphasis on stricter prompt-injection defenses and usage recommendations, but the effectiveness in large-scale scenarios still needs validation.

Judgment

• Narrative layer: “Dead” is more of a meme; it can’t replace actual observation of iteration and community activity.
• Product layer: With model plug-and-play and local run capability, it gives developers and enterprises greater compliance and cost flexibility.
• Combining with crypto: Delegating key custody and transaction execution to the agents themselves is one concrete implementation path 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 opportunity window—ideal for Builders and development teams who are willing to roll up their sleeves, integrate, and refine workflows. For trading participants and funds without measurable on-chain deal and security data support, advantages are not obvious in the near term.