Xpersona

Crawler Summary

vector-memory answer-first brief

Supplementary memory layer — semantic vector search over ALL workspace files and chat sessions using OpenAI embeddings. Expands coverage beyond built-in memory_search (which only indexes MEMORY.md + memory/*.md). Use for recalling past conversations, finding context in tasks/CRM/projects, and searching across the full workspace. --- name: vector-memory description: Supplementary memory layer — semantic vector search over ALL workspace files and chat sessions using OpenAI embeddings. Expands coverage beyond built-in memory_search (which only indexes MEMORY.md + memory/*.md). Use for recalling past conversations, finding context in tasks/CRM/projects, and searching across the full workspace. --- Vector Memory - Semantic Search Supplementary se Capability contract not published. No trust telemetry is available yet. Last updated 3/1/2026.

Freshness

Last checked 3/1/2026

Best For

vector-memory 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, GITHUB OPENCLEW, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 89/100

vector-memory

Supplementary memory layer — semantic vector search over ALL workspace files and chat sessions using OpenAI embeddings. Expands coverage beyond built-in memory_search (which only indexes MEMORY.md + memory/*.md). Use for recalling past conversations, finding context in tasks/CRM/projects, and searching across the full workspace. --- name: vector-memory description: Supplementary memory layer — semantic vector search over ALL workspace files and chat sessions using OpenAI embeddings. Expands coverage beyond built-in memory_search (which only indexes MEMORY.md + memory/*.md). Use for recalling past conversations, finding context in tasks/CRM/projects, and searching across the full workspace. --- Vector Memory - Semantic Search Supplementary se

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Mar 1, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 3/1/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Mar 1, 2026

Vendor

Exbald

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 3/1/2026.

View Source

Setup snapshot

git clone https://github.com/exbald/openclaw-skill-vector-memory.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 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 Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Exbald

profilemedium
Observed Mar 1, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Mar 1, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

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 Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

5

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

node skills/vector-memory/search.js "your query here" --limit 10 --min-score 0.3

bash

# Incremental (only changed files)
node skills/vector-memory/index.js

# Full rebuild
node skills/vector-memory/index.js --full

bash

node skills/vector-memory/ingest.js --file /path/to/file.md
node skills/vector-memory/ingest.js --source "session-notes" --text "content here"

bash

node skills/vector-memory/ingest-sessions.js

json

{"query": "...", "results": [{"file": "...", "startLine": 1, "endLine": 10, "heading": "...", "score": 0.85, "preview": "..."}], "totalIndexed": 905}

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Supplementary memory layer — semantic vector search over ALL workspace files and chat sessions using OpenAI embeddings. Expands coverage beyond built-in memory_search (which only indexes MEMORY.md + memory/*.md). Use for recalling past conversations, finding context in tasks/CRM/projects, and searching across the full workspace. --- name: vector-memory description: Supplementary memory layer — semantic vector search over ALL workspace files and chat sessions using OpenAI embeddings. Expands coverage beyond built-in memory_search (which only indexes MEMORY.md + memory/*.md). Use for recalling past conversations, finding context in tasks/CRM/projects, and searching across the full workspace. --- Vector Memory - Semantic Search Supplementary se

Full README

name: vector-memory description: Supplementary memory layer — semantic vector search over ALL workspace files and chat sessions using OpenAI embeddings. Expands coverage beyond built-in memory_search (which only indexes MEMORY.md + memory/*.md). Use for recalling past conversations, finding context in tasks/CRM/projects, and searching across the full workspace.

Vector Memory - Semantic Search

Supplementary semantic search over all workspace content using OpenAI embeddings. Complements built-in memory_search by covering files it doesn't index.

Usage

Search (most common)

node skills/vector-memory/search.js "your query here" --limit 10 --min-score 0.3

Returns JSON with ranked results including file path, line numbers, score, and text preview.

Index (rebuild)

# Incremental (only changed files)
node skills/vector-memory/index.js

# Full rebuild
node skills/vector-memory/index.js --full

Ingest ad-hoc content

node skills/vector-memory/ingest.js --file /path/to/file.md
node skills/vector-memory/ingest.js --source "session-notes" --text "content here"

Ingest chat sessions

node skills/vector-memory/ingest-sessions.js

Configuration

Set via environment variables:

  • VECTOR_MEMORY_WORKSPACE — workspace root (auto-detected if not set)
  • VECTOR_MEMORY_DATA_DIR — index storage location (default: ./data in skill dir)
  • OPENAI_API_KEY — required, reads from env or ~/.clawdbot/.env / ~/.openclaw/.env

Output Format

All commands output JSON. Search returns:

{"query": "...", "results": [{"file": "...", "startLine": 1, "endLine": 10, "heading": "...", "score": 0.85, "preview": "..."}], "totalIndexed": 905}

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

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://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/contract"
curl -s "https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

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://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T03:50:18.922Z"
    }
  },
  "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": "Exbald",
    "href": "https://github.com/exbald/openclaw-skill-vector-memory",
    "sourceUrl": "https://github.com/exbald/openclaw-skill-vector-memory",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-03-01T07:01:50.660Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-03-01T07:01:50.660Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/exbald-openclaw-skill-vector-memory/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
  }
]

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