Meta admits Muse’s likeness to OpenClaw isn’t a coincidence
Meta has acknowledged that its new AI assistant, Muse, was heavily inspired by the open-source project OpenClaw, though it was built from scratch. Product head Nat Friedman stated that the team admired OpenClaw's design and aimed to create a scalable, consumer-friendly version of it. This admission follows viral comparisons noting that Muse uses nearly identical file structures and content to OpenClaw.
- ▪Nat Friedman, head of product at Meta’s Superintelligence Labs, confirmed that Muse was heavily inspired by OpenClaw but built from scratch.
- ▪Early adopters discovered that Muse shares specific file names and nearly identical content in its SOUL.md configuration file with OpenClaw.
- ▪Friedman explained that the team purchased hundreds of Mac minis to test OpenClaw and decided to replicate its successful features for a broader audience.
- ▪The Muse app has recently reached the number one spot on the U.S. App Store, outpacing the initial launch metrics of ChatGPT.
- ▪Meta's approach mirrors its historical strategy of adopting and scaling successful features from competitors, such as the stories format from Snapchat.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/22/meta-admits-muses-likeness-to-openclaw-isnt-a-coincidence/ |
| Publication time | Tue, 22 Sep 2026 19:09:11 +0000 |
| Retrieval time | 2026-09-22T19:13:57.267Z |
| Last seen | 2026-09-22T19:13:57.267Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 16z-IhRx4qkQ · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
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Opening excerpt (first ~120 words) tap to expand
Early adopters of Meta’s Muse have been speculating that the reason the AI works so well is because it’s OpenClaw under the hood, wrapped in a more consumer-friendly package. Meta now says those comparisons aren’t entirely off-base. According to an X post by Nat Friedman, head of product at Meta’s Superintelligence Labs (MSL), Muse was “definitely heavily inspired as a product by OpenClaw.” However, he clarified that Muse itself was “built from scratch.” Friedman, the former GitHub CEO who joined Meta last year alongside Meta’s Chief AI Officer, Alexandr Wang, said that the team at Meta had fallen in love with OpenClaw and wanted Muse to be “something like OpenClaw” that could be scaled to billions of people.
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