letta-filesystem-to-memfs SKILL.md skillA
letta-filesystem-to-memfs from letta-ai/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add letta-ai/skills/letta-filesystem-to-memfs@git:20260513.aeb5473Pins git:20260513.aeb5473 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- letta-ai/skills
- Path
letta/letta-filesystem-to-memfs/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260513.aeb5473, committed May 13, 2026
- Size
- 5,183 bytes
- Repository stars
- 152
- License
- a license file GitHub does not identify
Migrates deprecated Letta Filesystem folders/files to MemFS using markdown document corpora, chunking, local lexical search, and QMD semantic search via the memfs-search skill. Use when replacing folders.files.upload, working with PDFs or document QA, or emulating open_file, grep_file, and search_file behavior.
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
# Letta Filesystem to MemFS Use this skill when a user wants the old Letta Filesystem behavior: upload documents, chunk them, attach them to an agent, and let the agent search/open them. MemFS is not the same product. It is git-backed markdown memory. To mimic the old workflow, use the bundled CLI: 1. Extract PDFs/docs to markdown text. 2. Chunk the text into stable markdown files under `documents/<corpus>/<doc>/chunks/`. 3. Write a small pinned index under `system/filesystem/<corpus>.md`. 4. Index only the corpus chunk files in QMD for semantic search. 5. Review the MemFS git diff. Commit only if asked. ## Quick workflow ```bash # Set this to the skill directory shown in the skill load header. SKILL_DIR="/path/to/letta-filesystem-to-memfs" # From any directory. MEMORY_DIR should point at the target agent's memfs repo. uv run --with pymupdf \ "$SKILL_DIR/scripts/letta_fs_to_memfs.py" ingest \ --memory-dir "$MEMORY_DIR" \ --corpus product-docs \ --source ./docs/ \ --source ./guide.pdf \ --source https://arxiv.org/pdf/2310.08560 cd "$MEMORY_DIR" git status --short git diff --stat ``` Search the chunk corpus lexically: ```bash …
Read the whole file at its exact version.
How to install
mdr add letta-ai/skills/letta-filesystem-to-memfs@sha256:727e932c6c3be346The line at the top of this page pins the label git:20260513.aeb5473, 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_g4ruj5yvufcj7wq5)
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Versions
The registry has recorded 1 version of this file, committed on May 13, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5183 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
letta-ai/skills · 152 stars · license a license file GitHub does not identify · pushed 2026-10-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_g4ruj5yvufcj7wq5 GET https://markdownregistry.com/api/v1/resolve?ref=letta-ai/skills/letta-filesystem-to-memfs GET https://markdownregistry.com/api/v1/blob/727e932c6c3be34603a1c71ca8aa335a8fc07deb5d27ea29cc9ee831cbed30bd
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: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.