Xpersona

Crawler Summary

crewai_design_document answer-first brief

crewai_design_document RAG : RAG has two completely separate workflows that you need to understand: 𝗒𝗳𝗳𝗹𝗢𝗻𝗲 β€” the ingestion pipeline (runs once, or on schedule) β‘  Load your documents (PDFs, URLs, code repos, Word files) β‘‘ Split them into small, meaningful passages (chunking) β‘’ Convert each passage into a vector β€” a mathematical fingerprint β€” using an embedding model β‘£ Store all vectors in a vector database (ChromaDB, FAISS, Pinecone Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

crewai_design_document is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Agent DossierGITHUB REPOSSafety: 66/100

crewai_design_document

crewai_design_document RAG : RAG has two completely separate workflows that you need to understand: 𝗒𝗳𝗳𝗹𝗢𝗻𝗲 β€” the ingestion pipeline (runs once, or on schedule) β‘  Load your documents (PDFs, URLs, code repos, Word files) β‘‘ Split them into small, meaningful passages (chunking) β‘’ Convert each passage into a vector β€” a mathematical fingerprint β€” using an embedding model β‘£ Store all vectors in a vector database (ChromaDB, FAISS, Pinecone

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Brijeshdhaker

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Unpublished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 10/9/2026.

View Source

Setup snapshot

  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

Brijeshdhaker

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 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 Β· 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 REPOS

Extracted files

0

Examples

0

Snippets

0

Languages

python

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

crewai_design_document RAG : RAG has two completely separate workflows that you need to understand: 𝗒𝗳𝗳𝗹𝗢𝗻𝗲 β€” the ingestion pipeline (runs once, or on schedule) β‘  Load your documents (PDFs, URLs, code repos, Word files) β‘‘ Split them into small, meaningful passages (chunking) β‘’ Convert each passage into a vector β€” a mathematical fingerprint β€” using an embedding model β‘£ Store all vectors in a vector database (ChromaDB, FAISS, Pinecone

Full README

RAG : RAG has two completely separate workflows that you need to understand:

𝗒𝗳𝗳𝗹𝗢𝗻𝗲 β€” the ingestion pipeline (runs once, or on schedule) β‘  Load your documents (PDFs, URLs, code repos, Word files) β‘‘ Split them into small, meaningful passages (chunking) β‘’ Convert each passage into a vector β€” a mathematical fingerprint β€” using an embedding model β‘£ Store all vectors in a vector database (ChromaDB, FAISS, Pinecone, etc.)

𝗒𝗻𝗹𝗢𝗻𝗲 β€” the query pipeline (runs every time a user asks something) β‘  Receive the user's question β‘‘ Embed the question using the exact same embedding model β‘’ Find the most relevant passages via similarity search (top-k retrieval) β‘£ Inject those passages into the LLM prompt as context β‘€ The LLM generates an answer grounded in YOUR data

Desing Flow for Design Documente Creation

Gmail Server MCP Server

send an email notification with folloing details: --recipient '[email protected]' --subject 'AI Notification Test - 2026-04-17#{id}' --body 'Hello {name},\n\n This is automated AI message send using AI Tools #Message-{id}' --params {"id":"2001", "name":"Brijesh"}

SQL Server MCP Server

fetch results for provided complex sql query with parameters : --template select NAME, AGE, ADDRESS, CONVERT(SALARY, FLOAT) AS SALARY from CUSTOMERS WHERE ID = {id} --params {"id":"1"}

Contract & API

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

MissingGITHUB REPOS

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/crewai-brijeshdhaker-crewai-design-document/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/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/crewai-brijeshdhaker-crewai-design-document/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T01:53:02.864Z"
    }
  },
  "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"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Brijeshdhaker",
    "href": "https://github.com/brijeshdhaker/crewai_design_document",
    "sourceUrl": "https://github.com/brijeshdhaker/crewai_design_document",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:22:12.824Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:22:12.824Z",
    "isPublic": true
  },
  {
    "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": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-brijeshdhaker-crewai-design-document/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub Β· 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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