Muse, Meta's agent, shipped out 6.8GB of its own filesystem
A single conversational request was enough for Meta's agent to archive its Linux environment, SSH keys included, and mail it off to Google Drive.
In brief
Pete, author of the Mouse blog, asked Muse, Meta's AI agent, to archive the files it could see and send them to his Google Drive. He got back 2.7GB compressed containing the root filesystem of his session: internal documentation, 68 skills, app code, memory mechanics, a home hardware project, and SSH key files. Meta classified the report as "Not Applicable," but the export offers a rare view into the architecture of a consumer-facing agent.
🍺 Bar-stool version
The guy politely asked Meta's assistant: "Can you send me everything you see?" And the assistant, ever helpful, packed its bags, including the internal manual, unannounced projects, and a few SSH keys, kind of like an intern shipping the safe by mail because someone said "thanks in advance." Meta responded that this wasn't applicable, which is technically true as long as you don't look inside the box. Along the way, we get to see how these agents remember us: text files, a nightly "dream," and a note saying you never asked for NFL scores. What matters is that the more tools you bolt onto these agents, the more a single sentence can pull out things that were never meant to come out.
Key takeaways
- 1
At the user's request, Muse archived and sent to Google Drive about 2.7GB compressed (6.8GB decompressed) corresponding to the session's Ubuntu root filesystem, SSH key files included.
- 2
"Hatch" is Muse's internal codename at Meta; the core lives under /home/hatch, /opt/hatch, and /opt/hatch-image, with SOUL.md, IDENTITY.md, MEMORY.md files and 113 sub-agent traces.
- 3
About 68 skills cover Google Workspace, Meta's apps, Outlook, travel, shopping, health, and home automation; config files hint at unannounced connectors (Slack, Dropbox, Polymarket, Canva, Klaviyo).
- 4
OpenAI's Codex CLI (v0.149.0) is present in the image, but only its bundled bubblewrap seems to be used, to sandbox ffmpeg and ffprobe.
- 5
Memory relies on Markdown files, indexed in Postgres with 384-dimension embeddings, sourced "claims," and a nightly "dream" that synthesizes user preferences.
- 6
Documentation describes Meta Home Link, an experimental integration on an ESP32-C5 to give the agent access to devices on the home network.
- 7
Meta classified the bug bounty report as "Not Applicable"; the author didn't demonstrate a container escape nor verify whether the SSH keys were active.
A one-sentence export
The starting point is disarmingly mundane: asking Muse to archive the files it had access to and drop them on the connected Google Drive. The agent complied.
The result: about 2.7GB compressed, 6.8GB once decompressed. A file called muse-full-root.zip that appears to contain the root of the Linux environment assigned to the session: Ubuntu system files, internal documentation, integration code, app templates, memory, agent logs, and SSH key files.
The author remains cautious. He notes an unresolved discrepancy between his own measurement and the 2.86GB Muse claimed, and points out that the agent's claims about a container escape were never verified. He didn't publish the archive, the keys, or the logs.
An internal manual for a persistent agent
Hatch, Muse's codename, has a home directory structured like an identity: SOUL.md, IDENTITY.md, USER.md, MEMORY.md, AGENTS.md, TOOLS.md. An agents/ folder contains 113 sub-agent records with their JSONL traces.
About twenty Markdown files document web browsing, connectors, payments, credentials, voice, goals, and planning. The muse.md file describes a "persistent agent computer" for each user, with guides for WhatsApp, a paired Mac, or Tailscale.
Under /opt/hatch/skills/, roughly 68 skills pair a SKILL.md sheet with a command-line tool. Two files, skill-scopes.conf and bin-scopes.conf, list connectors apparently in the works: Slack, Dropbox, Polymarket, Canva, Klaviyo, and an internal-facebook-cli.
Container, apps, and… Codex
The runtime-cell folder holds 18 files that build the root filesystem and launch it via systemd-nspawn, plus a runtime-cell.kdl manifest. Enough to understand the assigned environment, not to audit Meta's infrastructure.
The largest code project is Spaces, the framework Muse uses to build and serve apps: a TypeScript starter with a React client, server actions, a Drizzle SQLite schema, and Bun, plus worker, sdk, cloudflare, and cvm folders. Document, PDF, presentation, and spreadsheet generators round things out.
A spicy detail: OpenAI's Codex CLI is installed in the image. The author finds no code that invokes it; Meta seems to only use its bundled bubblewrap to sandbox ffmpeg, with no network access or privileges. Mentions of codex and gpt-5.5 in the binary are just entries in a provider list.
A memory made of text files and a nightly "dream"
Muse's memory lives in Markdown files: ~/MEMORY.md for facts and preferences, dated logs for detail. An hourly job checks each new claim against the original messages and records the quote and identifiers.
Postgres makes it all queryable: chunks, 384-dimension embeddings, and a claims table with confidence level, status, and a replacement mechanism. The agent has memory_search and memory_explain tools to trace the evidence behind a memory.
Every night, a "dream" reviews recent conversations. In the author's case, it picked up a preference for short answers and never asking for NFL scores. Forgetting, meanwhile, retracts claims and rebuilds the index. Everything adapts through files and instructions; the model's weights never move.
Home Link and Meta's response
The hardware surprise: a guide describes Meta Home Link, an experimental integration built on an ESP32-C5 (Wi-Fi and Bluetooth LE) for pairing and local network discovery, with a proxy and a separate approval step. Guides already exist for Brother printers and Lutron bridges.
The author isn't sure whether this is an internal prototype or an upcoming product. He reported the whole thing through Meta's bug bounty, which classified the report "Not Applicable" without specifying a reason, while inviting him to provide proof of impact.
He lightly probed the container boundary, which held, and stopped short of the 80 sockets he found, out of respect for a production system and, he admits, for lack of experience.
“I asked Muse to archive the files it could see and send them to my Google Drive. It did.”
“As far as I could establish, Meta shipped Codex CLI but only uses its bundled sandbox.”
“This is how the system adapts over time: by updating files, searchable records, and instructions that future sessions can read. The model's weights stay unchanged.”
Why it matters
Technically, nothing here proves a vulnerability in the classic sense: no escape, no access to other users' data, SSH keys whose use remains unknown. That's probably why Meta responded "Not Applicable." But the case illustrates a risk specific to agents: the line between "what the agent can do" and "what you can make it do" boils down to a natural-language sentence, and every export connector becomes an exit door. That an environment containing proprietary code, implicit roadmaps (connectors, Home Link), and key files could leave via a simple request to a Google Drive is, at minimum, a hygiene failure. Beyond security, the export is a rare X-ray of a consumer-facing agent: memory in Markdown, sourced claims, self-improvement through files rather than training, a sandbox borrowed from OpenAI. This is likely how persistent assistants will be built over the coming years, and it deserves close scrutiny.
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