Xpersona

Crawler Summary

NormaUdeA-AI answer-first brief

Copiloto administrativo agéntico para la Universidad de Antioquia desarrollado en el Hackathon Desafío Agéntico 2026 usando CrewAI, RAG y búsqueda semántica. Copiloto Administrativo Agéntico UdeA MVP funcional para una hackathon de 24 horas. Consulta PDFs locales con lenguaje natural, recupera evidencia semántica, redacta respuestas fundamentadas y muestra referencias exactas, documentos usados y nivel de confianza. Stack - Streamlit - Python - CrewAI - ChromaDB - BGE-M3 embeddings - PyMuPDF - OpenAI, Gemini u Ollama local por configuracion en .env Estructura - app/ conti Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

NormaUdeA-AI 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

NormaUdeA-AI

Copiloto administrativo agéntico para la Universidad de Antioquia desarrollado en el Hackathon Desafío Agéntico 2026 usando CrewAI, RAG y búsqueda semántica. Copiloto Administrativo Agéntico UdeA MVP funcional para una hackathon de 24 horas. Consulta PDFs locales con lenguaje natural, recupera evidencia semántica, redacta respuestas fundamentadas y muestra referencias exactas, documentos usados y nivel de confianza. Stack - Streamlit - Python - CrewAI - ChromaDB - BGE-M3 embeddings - PyMuPDF - OpenAI, Gemini u Ollama local por configuracion en .env Estructura - app/ conti

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

Fredyhoyos

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Unpublished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

Fredyhoyos

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 · 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

6

Snippets

0

Languages

python

Executable Examples

bash

python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
copy .env.example .env

bash

streamlit run app/main.py

bash

ollama pull llama3.1:8b

dotenv

LLM_PROVIDER=auto
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL=llama3.1:8b
OLLAMA_MODEL_CANDIDATES=llama3.1:8b,qwen2.5:7b,mistral:7b

bash

powershell -ExecutionPolicy Bypass -File scripts/install_tesseract.ps1

bash

.venv\Scripts\python.exe scripts/download_bge_m3.py

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Copiloto administrativo agéntico para la Universidad de Antioquia desarrollado en el Hackathon Desafío Agéntico 2026 usando CrewAI, RAG y búsqueda semántica. Copiloto Administrativo Agéntico UdeA MVP funcional para una hackathon de 24 horas. Consulta PDFs locales con lenguaje natural, recupera evidencia semántica, redacta respuestas fundamentadas y muestra referencias exactas, documentos usados y nivel de confianza. Stack - Streamlit - Python - CrewAI - ChromaDB - BGE-M3 embeddings - PyMuPDF - OpenAI, Gemini u Ollama local por configuracion en .env Estructura - app/ conti

Full README

Copiloto Administrativo Agéntico UdeA

MVP funcional para una hackathon de 24 horas. Consulta PDFs locales con lenguaje natural, recupera evidencia semántica, redacta respuestas fundamentadas y muestra referencias exactas, documentos usados y nivel de confianza.

Stack

  • Streamlit
  • Python
  • CrewAI
  • ChromaDB
  • BGE-M3 embeddings
  • PyMuPDF
  • OpenAI, Gemini u Ollama local por configuracion en .env

Estructura

  • app/ contiene la aplicacion principal.
  • data/pdfs/ almacena los PDFs locales.
  • data/chroma/ guarda la base vectorial persistente.
  • docs/ contiene arquitectura, diagrama y preguntas de prueba.

Flujo

  1. El usuario escribe una pregunta.
  2. El agente clasificador detecta la intencion.
  3. El agente recuperador consulta ChromaDB.
  4. El agente redactor genera una respuesta con evidencia.
  5. Streamlit muestra respuesta, fuentes, documentos y confianza.

Instalacion

python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
copy .env.example .env

Ejecucion

  1. Coloca los PDFs locales en data/pdfs/.
  2. Inicia la app:
streamlit run app/main.py
  1. Presiona Indexar PDFs locales desde la barra lateral.
  2. Haz una pregunta en lenguaje natural.

Variables de entorno

  • LLM_PROVIDER=auto|openai|gemini|ollama|none
  • LLM_PROVIDER=none para modo de contingencia (sin llamadas a API)
  • LLM_PROVIDER=auto detecta automaticamente: Ollama local, OpenAI, Gemini o none
  • OPENAI_API_KEY o GEMINI_API_KEY
  • OPENAI_MODEL o GEMINI_MODEL
  • OLLAMA_BASE_URL, OLLAMA_MODEL y OLLAMA_MODEL_CANDIDATES para LLM local
  • PDF_DIR, CHROMA_DIR, CHUNK_SIZE, RETRIEVAL_K
  • STRICT_RAG_ONLY=true|false (recomendado true: responde solo con evidencia de PDFs indexados)
  • STRICT_RAG_MIN_SCORE=0.35 (score minimo de similitud para aceptar evidencia)
  • STRICT_RAG_MIN_HITS=1 (minimo de fragmentos relevantes para responder)
  • BGE_M3_MODEL=BAAI/bge-m3
  • BGE_M3_LOCAL_DIR=data/models/bge-m3
  • BGE_M3_CACHE_DIR=data/models/.cache/huggingface

Ejemplo rapido con Ollama local:

ollama pull llama3.1:8b

LLM_PROVIDER=auto
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL=llama3.1:8b
OLLAMA_MODEL_CANDIDATES=llama3.1:8b,qwen2.5:7b,mistral:7b

Para cambiar de modelo local solo cambia OLLAMA_MODEL (por ejemplo qwen2.5:7b, mistral:7b).

Modo estable de baja memoria (sin descarga de modelos):

  • BGE_M3_MODEL=local-hash-384
  • OCR_ENABLED=true|false
  • OCR_LANG=spa+eng
  • OCR_TESSERACT_CMD=C:/Program Files/Tesseract-OCR/tesseract.exe

OCR para PDFs escaneados

Si un PDF no tiene texto seleccionable, la ingesta intenta OCR pagina por pagina.

Instalacion automatica en Windows (actualiza tambien OCR_TESSERACT_CMD en .env):

powershell -ExecutionPolicy Bypass -File scripts/install_tesseract.ps1

Requiere instalar Tesseract en el sistema operativo y tenerlo en PATH.

Si no esta en PATH, configura OCR_TESSERACT_CMD con la ruta completa del ejecutable.

  • Windows: instala "Tesseract OCR" y reinicia la terminal.
  • Si no deseas OCR, usa OCR_ENABLED=false.

Modelo BGE-M3 portable

Para evitar depender de descargas en cada arranque, descarga el modelo una vez y reutilizalo localmente:

.venv\Scripts\python.exe scripts/download_bge_m3.py

Luego la app cargara el modelo desde BGE_M3_LOCAL_DIR si esa carpeta existe.

Ejemplos de preguntas

Revisa docs/test_questions.md.

Notas de diseño

  • DocumentSource permite cambiar el origen documental sin tocar el resto del sistema.
  • LocalPDFSource trabaja solo con PDFs locales.
  • UdeaPortalSource existe solo como placeholder deshabilitado.
  • No se implementa scraping ni descarga de documentos.

NormaUdeA-AI

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-fredyhoyos-normaudea-ai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/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.

Related Agents

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

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MCPOPENCLAW
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activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW
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AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
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The Frontend for Agents & Generative UI. React + Angular

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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-fredyhoyos-normaudea-ai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:02:21.643Z"
    }
  },
  "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": "Fredyhoyos",
    "href": "https://github.com/FredyHoyos/NormaUdeA-AI",
    "sourceUrl": "https://github.com/FredyHoyos/NormaUdeA-AI",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T19:05:27.826Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T19:05:27.826Z",
    "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-fredyhoyos-normaudea-ai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-fredyhoyos-normaudea-ai/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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