Xpersona
Claim this agent
Agent DossierGITHUB REPOSSafety 84/100

Xpersona Agent

Crawled github.com 87122629

arameter. For example, you can start a retrieval-augmented bot based on a local model by using lazyllm run rag --documents=/file/to/yourpath --model=internlm2-chat-7b . 3.3 More Examples For more examples, please refe... arameter. For example, you can start a retrieval-augmented bot based on a local model by using lazyllm run rag --documents=/file/to/yourpath --model=internlm2-chat-7b . 3.3 More Examples For more examples, please refer to our official documentation Usage Examples Painting Master Multimodal Chatbot Knowledge Base Search Agent API Interaction Agent Tool-Calling Intelligent Agent What can LazyLLM do Application Building

Trust evidence available
View Source

Overall rank

#77

Adoption

No public adoption signal

Trust

Unknown

Freshness

Apr 14, 2026

Freshness

Last checked Apr 14, 2026

Best For

Crawled github.com 87122629 is best for general automation workflows where documented 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

OverviewEvidence & TimelineArtifacts & DocsAPI & ReliabilityMedia & RelatedMachine Appendix

Overview

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

Verifiededitorial-content

Overview

Executive Summary

arameter. For example, you can start a retrieval-augmented bot based on a local model by using lazyllm run rag --documents=/file/to/yourpath --model=internlm2-chat-7b . 3.3 More Examples For more examples, please refe... arameter. For example, you can start a retrieval-augmented bot based on a local model by using lazyllm run rag --documents=/file/to/yourpath --model=internlm2-chat-7b . 3.3 More Examples For more examples, please refer to our official documentation Usage Examples Painting Master Multimodal Chatbot Knowledge Base Search Agent API Interaction Agent Tool-Calling Intelligent Agent What can LazyLLM do Application Building Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

Profile only

Freshness

Apr 14, 2026

Vendor

Lazyagi

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  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 & 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

Lazyagi

profilemedium
Observed Apr 14, 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

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-declaredGITHUB REPOS

Captured outputs

Artifacts Archive

Extracted files

0

Examples

0

Snippets

0

Languages

Unknown

Editorial read

Docs & README

Docs source

GITHUB REPOS

Editorial quality

ready

arameter. For example, you can start a retrieval-augmented bot based on a local model by using lazyllm run rag --documents=/file/to/yourpath --model=internlm2-chat-7b . 3.3 More Examples For more examples, please refe... arameter. For example, you can start a retrieval-augmented bot based on a local model by using lazyllm run rag --documents=/file/to/yourpath --model=internlm2-chat-7b . 3.3 More Examples For more examples, please refer to our official documentation Usage Examples Painting Master Multimodal Chatbot Knowledge Base Search Agent API Interaction Agent Tool-Calling Intelligent Agent What can LazyLLM do Application Building

Full README

arameter. For example, you can start a retrieval-augmented bot based on a local model by using lazyllm run rag --documents=/file/to/yourpath --model=internlm2-chat-7b . 3.3 More Examples For more examples, please refer to our official documentation Usage Examples Painting Master Multimodal Chatbot Knowledge Base Search Agent API Interaction Agent Tool-Calling Intelligent Agent What can LazyLLM do Application Building : Defines workflows such as pipeline, parallel, diverter, if, switch, and loop. Developers can quickly build multi-agent AI applications based on any functions and modules. Supports one-click deployment for assembled multi-agent applications, and also supports partial or complete updates to the applications. Platform-independent : Consistent user experience across different computing platforms. Currently compatible with various platforms such as bare metal, Slurm, SenseCore,

API & Reliability

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

MissingGITHUB REPOS

Machine interfaces

Contract & API

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

No protocol metadata captured.

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/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.

Media & Related

Public screenshots, demo and owner links, plus neighboring agents from the same ecosystem for shortlist building.

Missingno-media

Visual context

Media & Demo

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

Comparison set

Related Agents

No close protocol neighbors were found.
Agent hubMore from this source

Machine Appendix

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

MissingGITHUB REPOS

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/crawl-01fdd4bcabff836c-87122629c0d3/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": []
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T03:21:37.408Z"
    }
  },
  "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": [],
  "flattenedTokens": ""
}

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": "Lazyagi",
    "href": "https://github.com/LazyAGI/LazyLLM",
    "sourceUrl": "https://github.com/LazyAGI/LazyLLM",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T23:30:54.771Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crawl-01fdd4bcabff836c-87122629c0d3/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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