memory-recall SKILL.md skillA

memory-recall from zilliztech/memsearch is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add zilliztech/memsearch/memory-recall@git:20260529.d24ebb1

Pins git:20260529.d24ebb1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
zilliztech/memsearch
Path
plugins/openclaw/skills/memory-recall/SKILL.md
Versions recorded
5
Latest version
git:20260529.d24ebb1, committed May 29, 2026
First version recorded
Mar 30, 2026
Size
3,250 bytes
Repository stars
2,816
License
MIT

Search and recall relevant memories from past sessions via memsearch. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge -- especially questions like 'what did I decide about X', 'why did we do Y', or 'have I seen this before'. Also use when you see `[memsearch] Memory available` hints injected via SessionStart or UserPromptSubmit. Typical flow: search for 3-5 chunks, expand the most relevant…

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

You have three memory tools for progressive recall. Start with search, go deeper only when needed.

## Tools (use progressively)

### 1. memory_search — Start here
Semantic search across all past conversation memories.
- Returns: chunk summaries with dates, topics, chunk_hash identifiers
- Use for: "What did we discuss about X?", "Have I asked about Y before?"

### 2. memory_get — When search results aren't detailed enough
Expands a specific chunk_hash to show the full markdown section with surrounding context.
- Input: chunk_hash from memory_search results
- Returns: full section text, may include transcript anchors (<!-- session:UUID transcript:PATH -->)
- Use for: "Show me the details", "I need more context on that result"

### 3. memory_transcript — When you need the exact original conversation
Parses the original session transcript to retrieve the raw dialogue.
- Input: transcript_path from the anchor comment in memory_get results
- Returns: formatted conversation with [User]/[Assistant] labels and tool calls
- Use for: "What exactly did I say?", "Show me the original conversation"
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zilliztech/memsearch/memory-recall@sha256:a47d29a961a2a78c

The line at the top of this page pins the label git:20260529.d24ebb1, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_uydc22ypgz3mm7ax.svg)](https://markdownregistry.com/a/art_uydc22ypgz3mm7ax)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 30, 2026 and May 29, 2026, about one every 15 days.

versioncommittedcommitsizeaudit
git:20260529.d24ebb1 latest2026-05-29 d24ebb1 3,250 BA view · diff
git:20260416.7a4f84b2026-04-16 7a4f84b 3,251 BA view · diff
git:20260416.6de05ec2026-04-16 6de05ec 2,813 BA view · diff
git:20260331.f2cbc6b2026-03-31 f2cbc6b 2,296 BA view · diff
git:20260330.34572132026-03-30 3457213 2,046 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3250 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

GitHub

zilliztech/memsearch · 2,816 stars · license MIT · pushed 2026-10-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_uydc22ypgz3mm7ax
GET https://markdownregistry.com/api/v1/resolve?ref=zilliztech/memsearch/memory-recall
GET https://markdownregistry.com/api/v1/blob/a47d29a961a2a78cb1da8fa794a3fde7954e406c5e9d473e89b1a6b1852342f7

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.

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