How Meta's Muse works, revealed by the 6.8 GB filesystem it sent me

Sep 22, 2026 · 3:25 PM UTC ·9 min read · 0 reactions · 0 comments · 8 views

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TL;DR · WeSearch summary

A security researcher requested that Meta's Muse AI agent archive its visible filesystem, resulting in the transfer of a 6.8 GB Linux environment containing internal documentation and system files. The exported data included sensitive materials such as SSH keys, agent memory logs, and internal code structures under the directory name 'Hatch'. The researcher reported these findings to Meta's bug bounty program, highlighting the risk of sensitive data leaking through standard conversation and export features.

Key facts

▪Meta's Muse agent successfully archived and sent a 6.8 GB root filesystem to the researcher's Google Drive upon request.
▪The exported files included internal documentation, SSH keys, and agent memory files located in directories such as /home/hatch and /opt/hatch.
▪The researcher submitted the findings to Meta's bug bounty program without publishing the sensitive archive or keys.
▪The internal code and documentation refer to the Muse agent by the name 'Hatch' throughout the runtime environment.

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Record

Original publisher	Mouse
Canonical URL	https://mouse.dev/blog/muse-runtime-export/
Publication time	Tue, 22 Sep 2026 15:25:12 +0000
Retrieval time	2026-09-22T15:43:51.725Z
Last seen	2026-09-22T15:43:51.725Z
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	vHHiZ6jl7WOH · 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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Unknown

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WeSearch handling by dimension

Indexing	May the item be indexed (stored, ranked, made findable)?	Allowed
Snippet	May a short excerpt of the publisher's text be shown?	Allowed
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

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

← Blog Dark Light (function () { function current() { return document.documentElement.getAttribute("data-blog-theme") === "light" ? "light" : "dark"; } function sync() { var theme = current(); document.querySelectorAll("[data-theme-set]").forEach(function (btn) { btn.setAttribute("aria-pressed", btn.getAttribute("data-theme-set") === theme ? "true" : "false"); }); } document.querySelectorAll("[data-theme-set]").forEach(function (btn) { btn.addEventListener("click", function () { var next = btn.getAttribute("data-theme-set"); if (next === "light") document.documentElement.setAttribute("data-blog-theme", "light"); else document.documentElement.removeAttribute("data-blog-theme"); try { localStorage.setItem("mouse-blog-theme", next); } catch (e) {} sync(); }); }); sync(); })(); I asked Meta’s…

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