memfs-search SKILL.md skillA
memfs-search 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/memfs-search@git:20260330.ad82b6ePins git:20260330.ad82b6e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- letta-ai/skills
- Path
tools/memfs-search/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260330.ad82b6e, committed Mar 30, 2026
- Size
- 3,629 bytes
- Repository stars
- 156
- License
- a license file GitHub does not identify
Semantic search over agent memory files. Use when you need to find conceptually related memory blocks, discover forgotten reference files, check what you already know before creating new memory, or search beyond exact keyword matching. Currently supports QMD (local, no API keys).
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
# MemFS Search
Semantic search over your memory filesystem. Useful when Grep isn't enough — finding conceptually related blocks, discovering forgotten reference files, or answering "what do I know about X" across all memory.
## Setup
First time only. Run the setup script to create the index and generate embeddings:
```bash
bash <SKILL_DIR>/scripts/memfs-search.sh setup
```
This creates a QMD collection over `$MEMORY_DIR`, adds context annotations, and embeds all `.md` files. First run downloads ~2GB of local GGUF models to `~/.cache/qmd/models/`.
For installation, embedding model options, and troubleshooting: [references/qmd-setup.md](references/qmd-setup.md).
## Searching
Three tiers. Pick based on what you know about your query:
| You have... | Use | Command | Speed |
|-------------|-----|---------|-------|
| An exact term or phrase | **keyword** | `search` | ~0.3s |
| A vague concept ("what do I know about X") | **semantic** | `vsearch` | ~2s cold, <1s warm |
| No idea, need the best results | **hybrid** | `query` | ~3s cold, <1s warm |
```bash
S="bash <SKILL_DIR>/scripts/memfs-search.sh"
# Keyword — fast, use first
$S search "lettabot architecture"
…Read the whole file at its exact version.
How to install
mdr add letta-ai/skills/memfs-search@sha256:60957c3d47b64590The line at the top of this page pins the label git:20260330.ad82b6e, 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_q2xtat56pmm3emmj)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Mar 30, 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 (3629 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 · 156 stars · license a license file GitHub does not identify · pushed 2026-10-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_q2xtat56pmm3emmj GET https://markdownregistry.com/api/v1/resolve?ref=letta-ai/skills/memfs-search GET https://markdownregistry.com/api/v1/blob/60957c3d47b64590ae8ecf888e6a9dbb75c254d79d7591eedd7b0011d821f0bf
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.