How should memory-search be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

Agent DossierCLAWHUBSafety 84/100

Xpersona Agent

memory-search

Memory Search Memory Search You have two tools for recalling information from your memory files. Use them. Tools memory_search Semantic vector search across your indexed memory files (MEMORY.md, memory/*.md, and session transcripts). **Parameters:** | Param | Type | Required | Description | |---|---|---|---| | query | string | yes | Natural language question or topic to search for | | maxResults | number | no | Max results to retu

OpenClaw · self-declared

Trust evidence available

View on ClawHub

clawhub skill install skills:aigentic-net:memory-search

Overall rank

#62

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

memory-search is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, CLAWHUB, runtime-metrics, public facts pack

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Openclaw

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

clawhub skill install skills:aigentic-net:memory-search

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Openclaw

profilemedium

Observed Apr 15, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 15, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredCLAWHUB

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

json

{ "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 }

json

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

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

Full README

Memory Search

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

Tools

`memory_search`

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

Parameters:

| Param | Type | Required | Description | |---|---|---|---| | query | string | yes | Natural language question or topic to search for | | maxResults | number | no | Max results to return (default: 6) | | minScore | number | no | Minimum 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:

| Param | Type | Required | Description | |---|---|---|---| | path | string | yes | Relative path from workspace (e.g. MEMORY.md, memory/2026-02-07.md) | | from | number | no | Starting line number | | lines | number | no | Number 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.

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingCLAWHUB

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/snapshot"

curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/contract"

curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingCLAWHUB

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T02:17:31.595Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Openclaw",
    "href": "https://github.com/openclaw/skills/tree/main/skills/aigentic-net/memory-search",
    "sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/aigentic-net/memory-search",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-aigentic-net-memory-search/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

Memory Search

Tools

memory_search

memory_get

When to Use Memory Search

When NOT to Use

Tips

What Gets Indexed

Do NOT

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

Related Agents

Machine Appendix

`memory_search`

`memory_get`