Xpersona

Crawler Summary

gemini-multi-framework-agent-examples answer-first brief

Sales analyst agent: same use case in ADK, LangChain, CrewAI, AutoGen, MS Agent Framework — Gemini only Ejemplos: agentes de ventas con varios frameworks (solo Gemini / Google) Repo público: **https://github.com/danielorlando97/gemini-multi-framework-agent-examples** Mismo caso de uso en **cinco stacks**: un **analista de ventas** con una herramienta mock de benchmarks de sector. Todo el LLM va con **Google AI Studio** (GOOGLE_API_KEY). En cada script, la constante **MODEL_ID** (o LITELLM_MODEL en CrewAI) concentra el Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

gemini-multi-framework-agent-examples 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

gemini-multi-framework-agent-examples

Sales analyst agent: same use case in ADK, LangChain, CrewAI, AutoGen, MS Agent Framework — Gemini only Ejemplos: agentes de ventas con varios frameworks (solo Gemini / Google) Repo público: **https://github.com/danielorlando97/gemini-multi-framework-agent-examples** Mismo caso de uso en **cinco stacks**: un **analista de ventas** con una herramienta mock de benchmarks de sector. Todo el LLM va con **Google AI Studio** (GOOGLE_API_KEY). En cada script, la constante **MODEL_ID** (o LITELLM_MODEL en CrewAI) concentra el

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

Danielorlando97

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Unpublished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

Danielorlando97

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

3

Snippets

0

Languages

python

Executable Examples

bash

cp .env.example .env
# Edita .env y pon GOOGLE_API_KEY=...

bash

make help

text

.
├── .env.example          # Plantilla (no commitear .env con claves reales)
├── Makefile
├── google-adk/           # Google ADK + adk web
├── langchain-langgraph/  # LangGraph ReAct + ChatGoogleGenerativeAI
├── crewai/               # Un agente + tarea (extra google-genai)
├── autogen/              # AutoGen 0.4+ + cliente OpenAI-compatible Gemini
└── microsoft-agent-framework/  # Workflow + DevUI (OpenAI-compat → Gemini)

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Sales analyst agent: same use case in ADK, LangChain, CrewAI, AutoGen, MS Agent Framework — Gemini only Ejemplos: agentes de ventas con varios frameworks (solo Gemini / Google) Repo público: **https://github.com/danielorlando97/gemini-multi-framework-agent-examples** Mismo caso de uso en **cinco stacks**: un **analista de ventas** con una herramienta mock de benchmarks de sector. Todo el LLM va con **Google AI Studio** (GOOGLE_API_KEY). En cada script, la constante **MODEL_ID** (o LITELLM_MODEL en CrewAI) concentra el

Full README

Ejemplos: agentes de ventas con varios frameworks (solo Gemini / Google)

Repo público: https://github.com/danielorlando97/gemini-multi-framework-agent-examples

Mismo caso de uso en cinco stacks: un analista de ventas con una herramienta mock de benchmarks de sector. Todo el LLM va con Google AI Studio (GOOGLE_API_KEY). En cada script, la constante MODEL_ID (o LITELLM_MODEL en CrewAI) concentra el nombre del modelo — por defecto alineado con gemini-2.5-flash; cámbiala si la consola de Google usa otro id.

Comparativa por temas (prosa + ejemplos mínimos): comparacion/README.md (índice); entrada alternativa FRAMEWORK_COMPARISON.md.

Cómo leer los ejemplos

  • Cada carpeta es autocontenida (incluido Docker): el mismo texto de “skills” o lógica de parseo puede repetirse a propósito para que puedas abrir un solo directorio y entender un stack sin imports cruzados.
  • Orden recomendado al leer código: configuración y constantes (p. ej. MODEL_ID) → tools → definición del agente → demo (__main__, run_*, o grafo).
  • El flujo escritor / revisor añade: registro de skills en texto → tools load_* → dos agentes → bucle o grafo que itera hasta aprobar o agotar rondas.
  • Tras recorrer un ejemplo, usa la carpeta comparacion/ para contrastar el mismo concepto entre frameworks.

Además, en cada carpeta hay un ejemplo aparte writer_reviewer_flow.py (o módulo equivalente en ADK): agente escritor + revisor para guiones de redes sociales, con skills por plataforma cargadas bajo demanda vía herramientas (load_writer_platform_skill / load_reviewer_platform_skill, catálogo x, instagram, linkedin, tiktok), hasta N iteraciones o hasta approved: true en JSON del revisor.

El analista de ventas incluye memoria de sesión: herramientas remember_sales_fact / recall_sales_facts más, donde aplica, historial de conversación (misma sesión / thread_id) para una segunda pregunta de seguimiento.

Requisitos

Configuración

Un solo archivo de entorno en la raíz de este repo:

cp .env.example .env
# Edita .env y pon GOOGLE_API_KEY=...

Los docker-compose de cada carpeta montan ../.env (es decir, este .env central).

Uso rápido (Makefile)

Desde la raíz del repo:

make help

| Target | Qué hace | |--------|----------| | make google-adk | ADK Web → http://localhost:8001 | | make google-adk-cli | ADK: analista de ventas (stdout) | | make google-adk-cli-writer | ADK: ejemplo escritor + revisor (stdout) | | make langchain | LangGraph ReAct: analista (CLI) | | make langchain-writer | LangGraph: grafo escritor → revisor (CLI) | | make crewai | CrewAI: analista (CLI) | | make crewai-writer | CrewAI: escritor + revisor (CLI) | | make autogen | AutoGen: analista (CLI) | | make autogen-writer | AutoGen: escritor + revisor (CLI) | | make maf | MAF DevUI (analista) → http://localhost:8082 | | make maf-cli | MAF: analista (CLI) | | make maf-cli-writer | MAF: escritor + revisor (CLI) |

MAF — DevUI solo para el ejemplo escritor/revisor: dentro de microsoft-agent-framework/, python run_devui_writer_reviewer.py (también copiado en la imagen).

Estructura

.
├── .env.example          # Plantilla (no commitear .env con claves reales)
├── Makefile
├── google-adk/           # Google ADK + adk web
├── langchain-langgraph/  # LangGraph ReAct + ChatGoogleGenerativeAI
├── crewai/               # Un agente + tarea (extra google-genai)
├── autogen/              # AutoGen 0.4+ + cliente OpenAI-compatible Gemini
└── microsoft-agent-framework/  # Workflow + DevUI (OpenAI-compat → Gemini)

Cada carpeta incluye sales_analyst.py (o agent.py en ADK) y, en paralelo, writer_reviewer_flow.py (en ADK: sales_analyst_app/writer_reviewer_flow.py, CLI python -m sales_analyst_app.writer_reviewer_flow).

Ejemplo escritor / revisor (detalle)

  • Constante MAX_ITERATIONS (por defecto 4).
  • Skills por plataforma: el prompt base no incluye todas las reglas; el modelo lista y carga la skill adecuada con herramientas (patrón tipo Cursor/Claude).
  • Brief de muestra orientado a LinkedIn; cambia Plataforma objetivo: en el brief para ejercitar otras plataformas.
  • El revisor responde con {"approved": bool, "feedback": "..."} (se tolera JSON en fence).
  • Parada: approved == true o máximo de rondas (último borrador).

Memoria (analista de ventas)

  • Herramientas remember_sales_fact / recall_sales_facts (diccionario en proceso).
  • LangGraph: además MemorySaver y dos invoke con el mismo thread_id.
  • Google ADK: dos turnos run_async sobre la misma sesión.
  • CrewAI: segunda Task en secuencia con context=[analysis_task].
  • AutoGen / MAF: segunda petición al mismo flujo (la memoria explícita sigue disponible vía recall_sales_facts).

Local sin Docker

En cada carpeta: pip install -r requirements.txt, variables desde el .env de la raíz (o export manual). Los scripts cargan ../.env respecto a su carpeta (ADK: ruta relativa al paquete; ver código).

Notas

  • LangSmith / CrewAI Studio / AutoGen Studio: interfaces propias del producto (nube o instalación aparte); estos Dockerfiles priorizan CLI o la UI nativa del framework cuando aplica (ADK Web, MAF DevUI).
  • Si Google cambia el nombre del modelo, actualiza MODEL_ID (y en CrewAI LITELLM_MODEL, derivada de MODEL_ID) en cada script según la documentación oficial.

Licencia

Código de ejemplo; úsalo como quieras en tus proyectos.

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-danielorlando97-gemini-multi-framework-agent-examples/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/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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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-danielorlando97-gemini-multi-framework-agent-examples/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T06:42:13.450Z"
    }
  },
  "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": "Danielorlando97",
    "href": "https://github.com/danielorlando97/gemini-multi-framework-agent-examples",
    "sourceUrl": "https://github.com/danielorlando97/gemini-multi-framework-agent-examples",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T23:24:41.580Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T23:24:41.580Z",
    "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-danielorlando97-gemini-multi-framework-agent-examples/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-danielorlando97-gemini-multi-framework-agent-examples/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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