Key Takeaways
- OpenClaw has a Discord community called "Friends of the Crustacean"
- OpenClaw has an associated social network called Moltbook modeled after Facebook for AI agents
- OpenClaw's Moltbook adds a public forum for AI agents
- OpenClaw has 150,000+ GitHub stars
- OpenClaw has 22,000+ GitHub forks
- OpenClaw has 416,000+ npm downloads in the last 30 days (as of Feb 2, 2026)
- OpenClaw launched in late November 2025
- OpenClaw was created by Austrian software developer Peter Steinberger
- OpenClaw supports integration with WhatsApp
- OpenClaw supports 29 community-verified real-world use cases
- OpenClaw's "Productivity" use case category accounts for nearly 50% of all verified use cases (14 of 29)
- OpenClaw supports 4 verified Social Media use cases
OpenClaw is open source multi channel AI powering fast growing agent use cases through messaging integrations and local memory.
Community & Ecosystem
Community & Ecosystem Interpretation
Growth & Adoption Metrics
Growth & Adoption Metrics Interpretation
Platform & Technical Details
Platform & Technical Details Interpretation
Use Cases & Features
Use Cases & Features Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Leah Kessler. (2026, February 24). Openclaw AI Statistics. Gitnux. https://gitnux.org/openclaw-ai-statistics
Leah Kessler. "Openclaw AI Statistics." Gitnux, 24 Feb 2026, https://gitnux.org/openclaw-ai-statistics.
Leah Kessler. 2026. "Openclaw AI Statistics." Gitnux. https://gitnux.org/openclaw-ai-statistics.
Sources & References
- Reference 1NATHANOWENnathanowen.substack.com
nathanowen.substack.com
- Reference 2DERAdera.ai
dera.ai
- Reference 3AI-TOOLS-AGGREGATOR-SEVENai-tools-aggregator-seven.vercel.app
ai-tools-aggregator-seven.vercel.app
- Reference 4CNBCcnbc.com
cnbc.com
- Reference 5MEDIUMmedium.com
medium.com







