The Story of OpenClaw: From 200K+ GitHub Stars to an OpenAI Product

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Recently, Sam Altman (OpenAI's CEO) made an announcement on Twitter (X) that Peter Steinberger, the creator of the viral open-source agent, OpenClaw (formerly Clawdbot), will be joining OpenAI

The big question for the community though is: What will happen to OpenClaw?

Fortunately, Altman confirmed that OpenAI won't kill this internet sensation of an AI agent (see X/Twitter post above). Rather, they will continue to keep it as open source and fully integrate it into the company, where Steinberger will be at the forefront towards accelerating the development of personal AI Agents for the company!

Why OpenClaw?

While many AI agents already existed, they could really only help with one specific task and couldn't handle the reality of the modern workday for the average adult: checking emails frantically, responding to Slack / Microsoft Teams messages, performing code reviews, and managing calendar invites all at once.

For example, imagine you are a developer. You might ask a traditional AI agent to summarize emails and it will do exactly that. However, while it's processing those emails for summarization, your Slack is blowing up with a critical production bug. The agent though is trapped in that one conversation of summarizing your emails. You’d have to wait for the email summary to finish, manually open a new tab, copy the bug report, and then ask the agent to help you debug it

This meant that users were still stuck halfway, and had to manually bridge and transition between different apps to handle tasks that were needed for a modern workday. acting as the manual bridge between different apps, which often felt like more work than just doing the tasks themselves.

OpenClaw solves this problem by giving you a single agent that works across all your tools simultaneously. It monitors your email, checks your Slack for any new messages, manages and works with your calendar invites, and helps conduct code reviews: all in parallel.

This makes it easy so that when a production bug hits while you're in the middle of an email summary, OpenClaw catches it, flags it, and helps you debug it without you ever having to switch tabs or start over.

Another hint that we are transitioning fully into AI Agents

For the past couple of years, AI was just a chatbot. You ask a question, and a chatbot would give you an answer

OpenClaw drastically changes that. It marks a shift towards agentic AI and AI agents! While a chatbot like ChatGPT gives you a draft of an email, an AI agent like OpenClaw will actually log in to your Microsoft Outlook account and sends the email!

It takes full control of your operating system and local files, turning the AI from what was once a research assistant into something that acts as a personal AI agent for your computer!

Its capabilities were so vast and immediately got many people hooked, and OpenClaw became one of the fastest growing open source projects, with now having over 200K+ stars on GitHub!

By bringing Steinberger on board, OpenAI is signaling that the era of the chatbot is over. We are moving from an AI that talks about work, to an AI that finishes it.

How Anthropic made the greatest fumble of all time

OpenClaw was previously known as Clawdbot, as a playful tribute and testament towards Anthropic's LLM Claude. Interestingly enough, Steinberger was so deeply invested into the Claude ecosystem that he made OpenClaw recommend Claude Opus 4.5 as the default LLM for its users.

But instead of seeing what could have been a partner, Anthropic saw it as a competitor, viewing Clawdbot as a trademark threat to their signature LLM: Claude. This prompted them to request Steinberger to change Clawdbot's name. Therefore, Steinberger ended up frantically changing the name twice from Clawdbot -> Moldbot -> OpenClaw

While Anthropic was worried about the name, OpenAI saw the true talent and potential with OpenClaw and immediately extended an offer to Steinberger, providing him the opportunity to build personal AI agents for everyone!

A product that was once a massive driver towards Anthropic API usage now became a product maintained by OpenAI! And what would have became a wonderful opportunity for Anthropic was now directly handed to their competitors at OpenAI!

The Lesson: Growth over Competition

Instead of viewing new projects as competition, developers and companies should view them through a growth lens.

The most successful moves that happen in tech aren't about vanquishing a rival, but rather about amplifying a vision through collaboration and/or acquisition.

For example, when Facebook acquired Instagram in 2012, they never saw it as a threat to Facebook. Rather, they saw the possibility of having social media in your pocket!

While many thought this $1 billion acquisition was an overstatement, Zuckerberg realized that Instagram perfectly captured the essence of social media in the mobile era, which Facebook was struggling to capture.

What does this mean for the rest of us

The success of OpenClaw isn't just about one developer landing a dream role at OpenAI. It signals two key learning takeaways we all can walk away with

AI is no longer living in your browser tab

As I mentioned earlier, we have fully moved away from talking to a chatbot in a browser tab. AI is no longer something you go to, but rather is now becoming embedded directly into your operating system by running in your computer's background as a daemon and acting on your behalf without you having to ask.

However, I believe the most important takeaway is that

Opportunities with companies like OpenAI, Meta, and Google don't always come from clicking "Apply" on LinkedIn or Workday

Steinberger didn't get a call from Sam Altman because of a polished resume or the right recruiter. He got it because he built something in public that 200,000 people found valuable enough to star on GitHub. He shipped obsessively, shared openly on GitHub, and solved a real problem that real people had.

The application button is one path, but it's the most crowded one. There are other paths to reach the same destination.

Steinberger showed that success can come by building things that speak for themselves: your GitHub, your open source contributions, the side project you've been putting off because it "isn't ready yet"

His story is proof that as AI is shifting from a chatbot to a multi-step agent (from talking about work to actually doing it), the developers who will shape that future aren't the ones waiting to be hired