OpenClaw — recently rebranded and acquired by OpenAI — is a viral, open-source “agentic” assistant that runs on users’ own devices. Its explosive rise in late 2025 and early 2026 has drawn global attention — especially in China — for both the speed of adoption and the security questions it raises.
In just a few months OpenClaw amassed hundreds of thousands of GitHub stars and millions of users, triggering big-tech integrations and government scrutiny.
Those developer signals and traffic spikes, along with emerging enterprise plans, explain why OpenClaw has become a bellwether for the on-premise AI agent market.
OpenClaw’s rise also highlights the growing need for tooling around AI-driven development workflows, from testing to security and code review.
This data-driven article compiles the key metrics on OpenClaw’s growth, usage, and impact: registered users, developer activity, ecosystem revenue estimates, and market context.
Open AI Platform Key Insights & Takeaways
OpenClaw is an open-source personal AI assistant that runs on your machine and works through the chat apps you already use. The official OpenClaw blog says the project began as Clawd in November 2025, then moved through Moltbot, and finally settled on OpenClaw in the January 29, 2026 announcement.
The official site and docs are active in 2026, with live update, troubleshooting, health, and release-channel documentation, which makes the project best described as actively maintained rather than dormant.
- GitHub stars in March 2026: OpenClaw passed 245,000+ stars by early March 2026.
- Current GitHub scale: Star History shows 350.6K stars, 70.4K forks, and 1.6K contributors on an April 8, 2026 snapshot.
- Security / ecosystem activity: OpenClaw announced a VirusTotal skill-security partnership on February 7, 2026.
- Current maintainability signals: the docs include live commands for update, doctor, health, and troubleshooting, which indicates ongoing releases and support.
- 2M Yuan (~$290K) government grants. Shenzhen and Wuxi local governments offered up to ¥2 million per project (~$290K) in subsidies for OpenClaw-based initiatives.
- ~40,000 publicly exposed instances. Security researchers identified over 40K internet-exposed OpenClaw deployments, raising alarms about wide usage.
Top OpenClaw AI Platform Statistics – Summary Table
| Metric | 2026 Figure |
| GitHub stars (Mar 2026) | ~250,000–300,000+ |
| Weekly site visitors (peak) | 2,000,000 (one week) |
| Baidu search app user base | ~700 million |
| Publicly exposed instances | 40,000+ (vulnerable systems) |
| Malicious skills (ClawHub) | 230+ detected |
| OpenClaw-based startups (tracked) | 129 |
| Startup revenue (last 30 days) | $283,000 total |
| Largest AI funding round (2025) | $40 billion (OpenAI) |
| Total AI funding (2025) | $150 billion |
Key Headline Statistics
• Over 250K GitHub stars by Mar 2026. The OpenClaw repo shot past 250,000 stars in under four months.
• 2 million weekly visitors. The site saw ~2M visits in a single week after launch.
• Thousands at install events. Chinese tech giants held company install events with ~1,000+ staff lining up each.
• 700M Baidu users integration. Baidu plans to build OpenClaw into its search app for ~700M users.
• 20–26% malicious plugins. A Cisco study found ~20% of community plugins malicious, affecting ~30K deployments.
• 230+ malicious skills identified. Hundreds of harmful OpenClaw “skills” (extensions) were uploaded to ClawHub.
• $283K in 30-day startup revenue. 129 startups on OpenClaw earned $283K total in one recent month.
• AI funding boom: $150B. 2025 saw record $150B VC into AI (OpenAI $40B, Anthropic $13B, etc.).
• GenAI market surge: $890B by 2032. The global generative AI market is forecast to swell to ~$890B by 2032.
OpenClaw AI Platform Statistics: Deep Dive
1. OpenClaw AI Platform User Growth Statistics
OpenClaw’s adoption growth was extraordinary for an open-source project. Its GitHub repository went from zero to hundreds of thousands of stars in months.
For example, by 29 January 2026 (roughly 2 months after initial release) the project had 100,000+ stars and recorded 2 million visitors in one week.
By early March it had topped 250,000 stars (and reached ~306,000 by mid-March 2026 on GitHub). This beat long-standing records: in star count OpenClaw overtook React’s 10-year total.
| Date | GitHub Stars | Weekly Visitors |
| Jan 2026 | 100,000 | 2,000,000 |
| Mar 2026 | 250,000+ | – |
This explosive community interest shows up elsewhere too. By early March the OpenClaw GitHub had 1,170+ contributors and 57,800+ forks, indicating widespread developer engagement.
One developer-led meet-up in Singapore drew 500+ attendees exploring OpenClaw applications.
Cloud providers and hobbyists rushed to deploy it: Tencent, Alibaba, and Baidu announced one-click deployment options, and by Mar 2026 crowds were lining up outside tech campuses for free installs.
All these signs point to usage that scaled almost exponentially in early 2026.
2. OpenClaw AI Platform Revenue & Financial Statistics
OpenClaw itself is free and open-source, but the surrounding ecosystem saw rapid monetization.
For instance, analytics from TrustMRR indicate 129 startups built on OpenClaw collectively generated $283,000 in one 30-day period (Jan 2026) – about $2.2K per startup on average.
The highest-grossing OpenClaw-based company pulled ~$50K in a month. Many of these startups provide tools, cloud services or plugins around OpenClaw, reflecting early commercial interest.
Meanwhile, major AI startups riding the agent wave saw huge valuations.
For example, Minimax (a Chinese AI/cloud company) reached a $44 billion market value despite only $79 million revenue in 2025, underscoring investor exuberance in the AI sector.
Moonshot AI in China has similarly raised over $1.2B in funding for its “Kimi Claw” agent platform, targeting a multibillion-dollar valuation.
In response to the boom, Chinese local governments began offering cash incentives: Shenzhen and Wuxi announced project grants up to ¥2 million (~$290K) for OpenClaw development. This public funding (nearly $0.3M per project) underscores the strategic priority given to agent technology.
| Metric | 2025 | 2026 |
| OpenClaw platform revenue | $0 | $0 (open-source) |
| OpenClaw startups (tracked) | – | 129 (as of Jan 2026) |
| Startup revenue (30 days) | – | $283,000 |
| Gov’t funding (max per project) | – | ¥2,000,000 (~$290K) |
| Notable AI startup valuation | $44B (Minimax) | $44B (Minimax) |
| Notable AI startup revenue | $79M (Minimax 2025) | – |
3. OpenClaw AI Platform Adoption & Usage Statistics
OpenClaw adoption reflects both grassroots developer use and broader organizational interest. On the developer side, 84% of professional developers now report using or planning to use AI tools in their workflow.
OpenClaw’s plugin ecosystem (ClawHub) quickly grew to host hundreds of “skills” (text-based automation routines). Cisco found that of ~31,000 agent skills surveyed, 26% contained at least one vulnerability, which highlights the trade-off between community growth and risk.
In terms of usage intensity, anecdotal evidence shows OpenClaw can dramatically increase automation, with teams investing in AI-powered testing and reliability layers. A Chinese AI company reported its cloud token consumption jumped 6× after enabling OpenClaw agents, as users delegated tasks around the clock.
Device mix and region data suggest the platform is global, but especially hot in Asia and India. One analysis claimed about 12–16% of traffic came from China, India and the U.S. each.
Usage skews desktop (≈70%) over mobile, since OpenClaw currently runs on PCs/servers rather than phones. Overall, OpenClaw’s rapid usage growth – as seen in GitHub activity and site traffic – far outpaces what most AI tools achieve, attesting to its sticky, utility-driven appeal.
OpenClaw Adoption & Community Growth
/OpenClaw had 245K+ stars in early March 2026 and reached 350.6K stars, 70.4K forks, and 1.6K contributors by the April 8, 2026 Star History snapshot. That is an unusually fast open-source adoption curve for any AI agent project.
The official site also shows the product is not just a hobby project: OpenClaw has a public blog, docs, install flow, trust pages, and a live “what people are building” showcase. That makes it a better fit for a “platform adoption” narrative than a one-time launch story.
4. OpenClaw AI Platform Enterprise Adoption Statistics
- Fast vendor momentum: Tencent, Alibaba Cloud and startups like Moonshot and Minimax quickly released agent products (e.g., Kimi Claw, MaxClaw), signalling strong commercial interest.
- Early enterprise pilots: Companies across aviation and finance are running agent pilots.
- Regulatory & security alarm: Chinese authorities issued warnings to state-owned and government institutions about installing OpenClaw and demanded audits, citing data-leak and malware risks.
- Governance gap: Industry analysis finds only ~20% of firms have mature governance for autonomous agents. Most enterprises aren’t yet prepared for safe large-scale deployments.
- Cautious but accelerating adoption: major players (e.g., Baidu) are integrating agent capabilities while business leaders plan to boost AI budgets (an EY survey reported ~95% of execs expect higher AI spend).
5. OpenClaw AI Platform Market & Competitive Statistics
OpenClaw has outpaced many well-known projects. By March 2026, OpenClaw had more stars than React (which had ~243K) or Python, making it arguably the most-starred non-aggregator repo ever achieved in such a short time.
This contrasts with closed commercial AI products: for example, ChatGPT had roughly 100+ million users by late 2023, but OpenClaw reached a comparable user enthusiasm curve with a fraction of the marketing, purely by viral growth.
On revenue, OpenClaw’s direct numbers are zero, but rival sectors are lucrative. The generative AI market – which powers tools like OpenClaw – is far bigger than older AI niches.
Market forecasts put the global generative AI market at $71.4B in 2025, rising to $890.6B by 2032. OpenClaw competes in the agent segment of this market, which some analysts say will grow even faster.
For instance, Statista data predicts generative AI will jump from ~$46B in 2024 to ~$356B by 2030, nearly 10× growth.
A demand-side comparison: StackOverflow’s 2025 survey reports 84% of developers use AI tools daily, underscoring the huge pool of potential OpenClaw users.
On the supply side, major AI startups have raised eye-popping sums (OpenAI’s $40B round, Anthropic $13B), dwarfing any open-source ecosystem.
However, OpenClaw’s zero price and strong customization have made it stand out: for example, Pendo’s analysis noted OpenClaw’s 925% monthly traffic surge in Feb–Mar 2026, a level of growth rarely seen outside tech giants.
In short, while commercial platforms command more dollars, OpenClaw leads in organic developer and user engagement metrics.
6. OpenClaw AI Platform Industry Trends & Market Growth
OpenClaw’s rise is part of broader AI industry trends. In 2025 alone, AI startups pulled in roughly $150 billion in funding – a record high. Goldman Sachs predicts companies will invest $500 billion+ in AI infrastructure in 2026.
At the same time, the overall AI market is surging. The US generative AI market was about $4.06 billion in 2023, and is growing at ~36% CAGR to 2030.
Globally, generative AI is expected to grow from ~$46–71B in 2024–25 to hundreds of billions by 2030. Statista projects the gen-AI sector will be ~$356B by 2030, comprising over 40% of all AI spending. In parallel, Statista forecasts ~315 million global AI-tool users in 2024, rising to ~730 million by 2030.
OpenClaw’s high growth rates (e.g. 925% monthly traffic spikes) mirror the broader 5–10× market expansions. The rise of OpenClaw mirrors a larger transition from manual and scripted systems to AI-native workflows.
Research and emerging tooling show a clear shift toward LLM-powered testing, where systems interpret natural language test cases and execute them dynamically — reducing manual scripting effort and improving adaptability. This shift is already visible in mobile QA through frameworks like Appium MCP.
Analyst firms have noted that enterprise AI adoption is moving from pilot to scale, and that agentic AI (multi-task assistants) is one of the fastest-growing segments.
7. OpenClaw AI Platform Current Status in 2026
As of 2026, OpenClaw looks like an active, fast-moving open-source AI platform with continuing releases, active documentation, and security-focused ecosystem updates.
The project’s official materials emphasize local-first operation, chat-app integration, and user-controlled automation, while the docs provide ongoing update and troubleshooting workflows for current installs.
In other words, the right framing is not “new tool launched once,” but “active open-source AI platform with rapid community growth and ongoing maintenance.”
Conclusion
In summary, the AI industry is on a tear. One sign is that OpenClaw has gone from zero to tens of thousands of deployments and huge web traffic in under a year.
The platform’s stats (stars, traffic, ecosystem growth) are both a cause and effect of the overall market frenzy. These figures help quantify that excitement: from VC dollars to corporate spending, the data all point to a multi-decade boom for AI agents.
FAQ’s
Q: When was OpenClaw released?
OpenClaw’s origin traces back to November 2025, when the project began under the name Clawd. It was later renamed to OpenClaw in an announcement on January 29, 2026.
Q: What is OpenClaw’s launch date?
The project initially launched in late November 2025 under its original name, and was subsequently rebranded to OpenClaw in January 2026.
Q: What is OpenClaw’s current status in 2026?
OpenClaw is actively maintained in 2026, with ongoing updates documented through live documentation, troubleshooting resources, and health checks. It also maintains a published security partnership with VirusTotal.
Q: How many GitHub stars does OpenClaw have?
OpenClaw had over 245,000 GitHub stars in early March 2026 and reached approximately 350,600 stars based on the April 8, 2026 Star History snapshot.
Q: How should I describe OpenClaw adoption?
Adoption is best described using GitHub and ecosystem signals rather than a single percentage metric. Indicators such as stars, forks, contributors, documentation activity, and ecosystem partnerships collectively demonstrate strong adoption momentum.
