llms.txt@docsA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
llms.txt@docs from mystenlabs/walrus-memory is an llms.txt file: plain text a project publishes for AI models to read.
mdr add mystenlabs/walrus-memory/docs/llms.txt@git:20260805.9fb1c92Pins git:20260805.9fb1c92 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- llms.txt file
- Repository
- mystenlabs/walrus-memory
- Path
docs/llms.txt- Versions recorded
- 4
- Latest version
- git:20260805.9fb1c92, committed Aug 5, 2026
- First version recorded
- Mar 31, 2026
- Size
- 4,391 bytes
- Repository stars
- 133
- License
- Apache-2.0
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# MemWal > MemWal is a privacy-first AI memory layer. It stores encrypted memories on Walrus (decentralized storage) and retrieves them with semantic search. Ownership is enforced onchain via Sui smart contracts. The TypeScript SDK (`@mysten-incubation/memwal`) gives any app persistent, encrypted memory in a few lines of code. Important notes: - The SDK talks to a relayer service that handles embedding, SEAL encryption, Walrus upload/download, and vector search - All content is end-to-end encrypted — only the owner and authorized delegates can decrypt - Delegate keys provide scoped access — agents can read/write memory without holding the owner's private key - Memory is scoped by `owner + namespace` — each namespace is an isolated memory space ## Docs - [What is MemWal?](https://docs.wal.app/walrus-memory/getting-started/what-is-memwal): Overview of features, architecture, and use cases - [Quick Start](https://docs.wal.app/walrus-memory/getting-started/quick-start): Install the SDK, generate credentials, store and recall your first memory …
Read the whole file at its exact version.
How to install
mdr add mystenlabs/walrus-memory/docs/llms.txt@sha256:d391a51e83be298bThe line at the top of this page pins the label git:20260805.9fb1c92, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_rakmczmdewgrdmx7)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 31, 2026 and Aug 5, 2026, about one every 42 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260805.9fb1c92 latest | 2026-08-05 | 9fb1c92 | 4,391 B | A | view · diff |
| git:20260805.b02e86e | 2026-08-05 | b02e86e | 4,445 B | A | view · diff |
| git:20260603.5e435f7 | 2026-06-03 | 5e435f7 | 4,421 B | A | view · diff |
| git:20260331.71fcd0b | 2026-03-31 | 71fcd0b | 4,109 B | A | view |
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (4391 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
mystenlabs/walrus-memory · 133 stars · license Apache-2.0 · pushed 2026-11-07 · branch dev
API
GET https://markdownregistry.com/api/v1/artifacts/art_rakmczmdewgrdmx7 GET https://markdownregistry.com/api/v1/resolve?ref=mystenlabs/walrus-memory/docs/llms.txt GET https://markdownregistry.com/api/v1/blob/d391a51e83be298b4ff2d94189ff78a9341e81ef2b8cb75f0a170ba8f06fba7c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: how to add an llms.txt file to a website · which agent file does what.
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