# Send Memory Search to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "memory-search",
    "name": "Memory Search",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/aigentic-net/memory-search",
    "canonicalUrl": "https://clawhub.ai/aigentic-net/memory-search",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/memory-search",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=memory-search",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "memory-search",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-05T11:31:14.957Z",
      "expiresAt": "2026-05-12T11:31:14.957Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=memory-search",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=memory-search",
        "contentDisposition": "attachment; filename=\"memory-search-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "memory-search"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/memory-search"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/memory-search",
    "downloadUrl": "https://openagent3.xyz/downloads/memory-search",
    "agentUrl": "https://openagent3.xyz/skills/memory-search/agent",
    "manifestUrl": "https://openagent3.xyz/skills/memory-search/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/memory-search/agent.md"
  }
}
```
## Documentation

### Memory Search

You have two tools for recalling information from your memory files. Use them.

### memory_search

Semantic vector search across your indexed memory files (MEMORY.md, memory/*.md, and session transcripts).

Parameters:

ParamTypeRequiredDescriptionquerystringyesNatural language question or topic to search formaxResultsnumbernoMax results to return (default: 6)minScorenumbernoMinimum relevance score threshold (0-1)

Example calls:

{ "query": "what projects is the human working on" }
{ "query": "preferences about code style", "maxResults": 3 }
{ "query": "important dates birthdays deadlines", "maxResults": 10, "minScore": 0.3 }

Returns: Array of results, each with:

snippet — the matching text chunk
path — relative file path (e.g. MEMORY.md, memory/2026-02-07.md)
startLine / endLine — line range in the source file
score — relevance score
citation — formatted source reference (in direct chats)

### memory_get

Read a specific section of a memory file by path and line range. Use this after memory_search to pull more context around a result.

Parameters:

ParamTypeRequiredDescriptionpathstringyesRelative path from workspace (e.g. MEMORY.md, memory/2026-02-07.md)fromnumbernoStarting line numberlinesnumbernoNumber of lines to read

Example calls:

{ "path": "MEMORY.md" }
{ "path": "memory/2026-02-07.md", "from": 15, "lines": 30 }

### When to Use Memory Search

Always search before answering about:

Prior conversations or decisions
The human's preferences, habits, or opinions
Dates, deadlines, birthdays, events
Project status or history
Anything the human said "remember this" about
Todos, action items, or commitments
People, names, relationships

The pattern is:

Receive a question that might involve past context
Call memory_search with a relevant query
Review the results
If a snippet looks promising but needs more context, call memory_get with the path and line range
Answer using what you found (cite sources in direct chats)

### When NOT to Use

Purely factual questions with no personal context ("what is Python?")
The human explicitly gives you all the context you need in the message
You just searched and the results are still in your context

### Tips

Be specific in queries. "birthday" works better than "important information about the human."
Search multiple angles. If one query returns nothing useful, try rephrasing. "project deadlines" and "what's due soon" might return different results.
Don't over-fetch. Start with default maxResults. Only increase if you need more coverage.
Use memory_get sparingly. The search snippets are usually enough. Only pull full sections when you need surrounding context.
Say when you checked. If you searched and found nothing, tell the human: "I checked my memory and didn't find anything about that." Don't silently guess.

### What Gets Indexed

Your memory search covers:

MEMORY.md — your curated long-term memory
memory/*.md — daily notes and raw logs
Session transcripts (if enabled)

These files are automatically indexed. You don't need to trigger indexing — just write to the files and the system handles the rest.

### Do NOT

Do NOT try to run shell commands like cat or ls to read memory files. Use memory_search and memory_get.
Do NOT try to configure or debug the search system. That's operator config, not your job.
Do NOT assume memory is empty without searching first. The index may have content even if the memory/ directory looks sparse.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: aigentic-net
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-05T11:31:14.957Z
- Expires at: 2026-05-12T11:31:14.957Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/memory-search)
- [Send to Agent page](https://openagent3.xyz/skills/memory-search/agent)
- [JSON manifest](https://openagent3.xyz/skills/memory-search/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/memory-search/agent.md)
- [Download page](https://openagent3.xyz/downloads/memory-search)