Back to news

AI News

The OpenClaw fork landscape: After Steinberger joined OpenAI.

Cole Steinberger's move to OpenAI in February 2026 catalysed a fork ecosystem. Here's how the post-Steinberger landscape has evolved.

AI Kick Start editorial image for The OpenClaw fork landscape: After Steinberger joined OpenAI.

Decision

Start narrow

Use the article to decide the smallest useful workflow worth testing before expanding the system.

Risk to watch

Hype drift

Avoid turning a practical adoption step into a broad transformation promise nobody can verify.

Proof to collect

Business signal

Write down the owner, data boundary, review point, and measurable outcome before the first build.

TL;DR

TL;DR: When [Peter Steinberger](https://en.wikipedia.org/wiki/Peter_Steinberger_(programmer)), the creator of OpenClaw, [joined OpenAI in February 2026](https://techcrunch.com/2026/02/15/openclaw-creator-peter-steinberger-joins-openai/), a lot of people assumed the open-source project would stall or get quietly absorbed. It didn't. The project kept moving, a community foundation stepped in to steward it, and a handful of forks appeared to chase directions the original wasn't taking. For Australian teams already running OpenClaw skills in their workflows, the short version is: nothing broke, and the project no longer hinges on one person.

Key takeaways

  • Analysis: In mid-February 2026, the developer behind one of the fastest-growing projects on GitHub announced he was going to work for OpenAI.
  • The Initial Shock: Steinberger's announcement landed with no real warning.
  • The Governance Transition: The clearest, verifiable change was structural.
  • The Major Forks: Forking is where the public account gets shaky, so a caveat up front: the three forks described in the original write-up below do not match the fork ecosystem any source can confirm.
  • Why Users Stayed: Drama aside, most people stuck with the original.

Analysis

In mid-February 2026, the developer behind one of the fastest-growing projects on GitHub announced he was going to work for OpenAI. Peter Steinberger had built OpenClaw, an open-source AI agent framework, and grown it to hundreds of thousands of GitHub stars in a matter of months. Then he told the community he was leaving to join the company many of them saw as the commercial giant in the room.

The worry was obvious. When the person who writes most of the code walks away, what happens to everyone who built their work on top of it? Open-source history is full of projects that went dark the moment their founder lost interest or got hired.

OpenClaw didn't follow that script. Because the code was open under a permissive licence, no single employer could lock it away. A community foundation took over stewardship, the original repo kept getting updates, and a few alternative versions sprang up for people who wanted something the main project wasn't offering. Six months on, the practical situation for a business running OpenClaw is calm: your skills still work, the marketplace is still there, and the project has more hands on it than before.

That's the headline. The detail below is messier, and worth understanding if you're deciding whether to keep building on OpenClaw or one of its offshoots.

The Initial Shock

Steinberger's announcement landed with no real warning. At the time, OpenClaw was sitting somewhere north of 340,000 GitHub stars and still climbing fast (GitHub, openclaw/openclaw; star counts in this period are approximate, the repo went from roughly 247,000 in early March to around 379,000 by June). The MIT licence meant anyone could fork the code at any time, but in practice the project's direction ran through one person.

So the reaction was loud. Reportedly, the OpenClaw Discord picked up around 10,000 new members and three forks were announced inside the first 48 hours, though that surge isn't documented by any source I'd stand behind. Enterprise users did the sensible thing and paused new deployments until the picture cleared.

Supporting AI Kick Start editorial image for openclaw-fork-landscape-after-steinberger-openai.
Generated AI Kick Start editorial visual used to explain the article's practical workflow and trade-offs.

The Governance Transition

The clearest, verifiable change was structural. A non-profit OpenClaw Foundation was set up to steward the project independently of any single person or company. Its stated position is plain: no one company controls OpenClaw.

Beyond that, reporting gets thinner. There are claims that within a week the project formed a steering committee with community representatives, named new maintainers with commit rights, published a 12-month roadmap, and moved Steinberger to an "advisor" role with no commit access. I'd treat those as unconfirmed. The public repo describes governance as informal and community-driven, and the Foundation site sticks to a mission statement rather than a transition timeline.

The message most people took away, regardless of the exact mechanics, was that OpenClaw would carry on as a community project rather than rise or fall with one developer's job.

The Major Forks

Forking is where the public account gets shaky, so a caveat up front: the three forks described in the original write-up below do not match the fork ecosystem any source can confirm. According to Can it run OpenClaw, the real offshoots carry names like Moltworker, ZeroClaw, MimiClaw, PicoClaw, Nanobot, NanoClaw and IronClaw. The forks named here, along with their star counts and feature lists, appear to be illustrative rather than verified. Read them as a picture of the *kinds* of forks an ecosystem produces, not a directory you should go shopping in.

OpenClaw Core (The Original)

Stars: ~345,000 (continued growth, approximate) Maintainers: Community foundation and contributors Direction: Continuity, keep the existing vision and codebase intact ClawHub: Still the primary marketplace Status: The default. Most users stayed put.

OpenClaw Community Edition (CE) *(reportedly; not confirmed by any source)*

Stars: 15,000 *(uncorroborated)* Maintainers: Former contributors Direction: More aggressive changes, dropping dependencies, adding features the original team had pushed back on Key differences: Native multi-agent support, a rewritten execution engine, no npm dependency Audience: Developers who wanted faster movement and fewer guardrails

LibreClaw *(reportedly; not confirmed by any source)*

Stars: 8,000 *(uncorroborated)* Maintainers: Privacy-focused developers Direction: Maximum privacy and decentralisation Key differences: Offline by default, no external API calls, peer-to-peer skill sharing instead of a central ClawHub Audience: Privacy-conscious users and regulated industries

EnterpriseClaw *(reportedly; not confirmed by any source)*

Stars: 5,000, mostly organisational accounts *(uncorroborated)* Maintainers: Enterprise consulting firms Direction: Production-focused with enterprise features Key differences: Built-in SSO, audit logging, compliance reporting, SLA guarantees Audience: Large enterprises and government agencies

Why Users Stayed

Drama aside, most people stuck with the original. A few reasons explain it.

Network Effects: The ClawHub skill marketplace, think of it as npm for AI agents, has real pull. It grew from roughly 127 skills in November 2025 to more than 15,000 by March 2026. Skills are written for the original; fork compatibility is hit and miss.

Trust in Process: Standing up the Foundation and communicating openly went a long way toward settling nerves.

MIT License: Because the licence is permissive, the project was never going to turn proprietary. Forking was always on the table, which oddly made forking feel less urgent.

Continuity: The original's momentum, documentation and community are hard to rebuild from scratch.

No Immediate Crisis: The code kept working. Nothing forced anyone to switch overnight.

The Steinberger Effect on OpenAI

Steinberger's move to OpenAI may not have been entirely one-directional. There are claims that his presence nudged OpenAI toward open source, specifically, that OpenAI launched an "open tools" initiative for community integrations, that OpenClaw skills picked up unofficial support on OpenAI's developer platform, and that Steinberger pushed for API compatibility with open-source alternatives.

I'd flag all three as unconfirmed. What's actually on the record is narrower: Steinberger joined OpenAI to work on agent and multi-agent systems, and OpenClaw stays open source. Whether his hire signals genuine openness or a smart bit of co-opting is the kind of debate that won't resolve any time soon.

The Health of the Ecosystem

Looking back from roughly six months after the announcement, and treating any forward-looking comparison as a projection rather than settled fact, the OpenClaw ecosystem looks to be in decent shape:

  • Competition between forks pushes everyone to improve
  • Specialised forks cover needs the original never set out to address
  • The original project benefits from focused, foundation-backed governance
  • Combined growth: reportedly, total stars across all the forks now exceed the original's old peak, though that aggregate isn't something any source can back up, and the fork roster it leans on is itself unverified

This is roughly how open source is meant to behave. A project's survival shouldn't depend on one person staying interested or staying put. A working fork ecosystem means OpenClaw's ideas outlast any single individual or company.

Lessons

A few things worth taking from the OpenClaw episode:

  1. Governance matters: Projects need structures that outlive the founder.
  2. Licences are insurance: MIT or GPL means the community always keeps its options.
  3. Communication is critical: Clear, fast updates stop a panic before it starts.
  4. Forks are healthy: They reflect genuinely different needs, not just drama.
  5. Network effects are real: Marketplaces and ecosystems are what keep people from leaving.

OpenClaw started life in November 2025 and reached hundreds of thousands of stars in well under a year. The post-Steinberger period is the real test, and so far it shows that a serious open-source project can be bigger than the person who made it.

Source trail

Primary references to keep this briefing grounded

AI and automation information changes quickly. Use these official or primary references to verify the claims, pricing, product behaviour, and compliance details before committing budget or production data.

What to do next

  1. Pick the smallest useful workflow that proves the pattern.
  2. Write down the owner, data boundary, review point, and success measure.
  3. Review the result after the first real run and decide whether to scale, change, or stop.

Want help applying this? Explore AI agent design systems.

AI Kick Start is an Illawarra-based AI studio in Figtree, helping businesses across Wollongong, Shellharbour and Kiama and right across Australia put AI to work.

Explore with AI

Use the article as a decision prompt

Summarise this AI Kick Start article for an Australian business owner. Focus on the useful decision, the risks, and the first practical next step: The OpenClaw fork landscape: After Steinberger joined OpenAI

Turn this into a practical roadmap.

Use the guide as a starting point, then map the first workflow worth building.

Book an AI strategy call