How should crewai-agentic-demo be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

Agent DossierGITHUB OPENCLEWSafety 66/100

Xpersona Agent

crewai-agentic-demo

A multi-agent AI workflow using CrewAI and a local LLM via Ollama CrewAI Agentic Explainer Demo (Ollama + FastAPI) It demonstrates a **multi-agent AI workflow** using **CrewAI** and a **local LLM via Ollama** to explain technical AI topics at different levels (beginner / intermediate / advanced). Example: Ask the system to explain _"What is Retrieval-Augmented Generation (RAG)?"_ and it will orchestrate multiple agents (Researcher, Architect, Teacher) to produce a structured, step-

OpenClaw · self-declared

Trust evidence available

View Source

git clone https://github.com/subroy77/crewai-agentic-demo.git

Overall rank

#18

Adoption

No public adoption signal

Trust

Unknown

Freshness

May 13, 2026

Freshness

Last checked May 13, 2026

Best For

crewai-agentic-demo 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 OPENCLEW, runtime-metrics, public facts pack

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

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

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 13, 2026

Vendor

Subroy77

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/subroy77/crewai-agentic-demo.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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

Subroy77

profilemedium

Observed May 13, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 13, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

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 OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

python

Executable Examples

mermaid

flowchart LR
    A[Client / Frontend] --> B[/FastAPI: /explain/]

    B --> C[Research Agent]
    B --> D[Architect Agent]
    B --> E[Teacher Agent]

    C --> F[Local LLM via Ollama]
    D --> F
    E --> F

    C --> G[Research Brief]
    D --> H[Architecture Notes]
    E --> I[Final Explanation + Learning Path]

    G --> E
    H --> E

text

crewai-agentic-demo/
├── app.py                  # FastAPI app with /explain endpoint
├── crew/
│   └── crew_orchestrator.py# CrewAI agents, tasks, and orchestration logic
├── models/
│   └── requests.py         # Pydantic model for ExplainRequest
├── tests/
│   └── test_agents.py      # Placeholder tests
├── README.md
└── requirements.txt

bash

git clone https://github.com/your-username/crewai-agentic-demo.git
cd crewai-agentic-demo

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

bash

pip install -r requirements.txt

text

fastapi
uvicorn[standard]
crewai
langchain
langchain-community
langchain-core
pydantic

bash

ollama pull llama3
ollama serve

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

CrewAI Agentic Explainer Demo (Ollama + FastAPI)

It demonstrates a multi-agent AI workflow using CrewAI and a local LLM via Ollama to explain technical AI topics at different levels (beginner / intermediate / advanced).

Example: Ask the system to explain "What is Retrieval-Augmented Generation (RAG)?"
and it will orchestrate multiple agents (Researcher, Architect, Teacher) to produce a structured, step-by-step explanation suitable for engineers.

🧱 Architecture Overview

FastAPI backend with a single endpoint: POST /explain
CrewAI orchestrates three agents:
- Technical Researcher – gathers key concepts and use cases
- Senior AI Architect – frames architectures and mental models
- AI Instructor – adapts the explanation to a chosen level
Ollama runs a local LLM (e.g., llama3) so no external API key is required

flowchart LR
    A[Client / Frontend] --> B[/FastAPI: /explain/]

    B --> C[Research Agent]
    B --> D[Architect Agent]
    B --> E[Teacher Agent]

    C --> F[Local LLM via Ollama]
    D --> F
    E --> F

    C --> G[Research Brief]
    D --> H[Architecture Notes]
    E --> I[Final Explanation + Learning Path]

    G --> E
    H --> E

📂 Project Structure

crewai-agentic-demo/
├── app.py                  # FastAPI app with /explain endpoint
├── crew/
│   └── crew_orchestrator.py# CrewAI agents, tasks, and orchestration logic
├── models/
│   └── requests.py         # Pydantic model for ExplainRequest
├── tests/
│   └── test_agents.py      # Placeholder tests
├── README.md
└── requirements.txt

🚀 Getting Started

1. Clone & Create Environment

git clone https://github.com/your-username/crewai-agentic-demo.git
cd crewai-agentic-demo

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

2. Install Dependencies

pip install -r requirements.txt

Minimal requirements.txt:

fastapi
uvicorn[standard]
crewai
langchain
langchain-community
langchain-core
pydantic

You can pin exact versions later if needed.

3. Install and Run Ollama

Download Ollama from their website, then:

ollama pull llama3
ollama serve

By default, the demo assumes Ollama is available at http://localhost:11434.

4. Run the API

uvicorn app:app --reload

Open the docs at: http://localhost:8000/docs

📡 Example Request

cURL

curl -X POST "http://localhost:8000/explain" \
  -H "Content-Type: application/json" \
  -d '{
        "topic": "What is Retrieval-Augmented Generation (RAG)?",
        "level": "intermediate"
      }'

Expected JSON Response (simplified)

{
  "topic": "What is Retrieval-Augmented Generation (RAG)?",
  "level": "intermediate",
  "summary": "...short summary here...",
  "detailed_explanation": "...multi-agent explanation...",
  "suggested_learning_path": "...step-by-step study plan...",
  "raw_output": "...full CrewAI run output..."
}

🧩 How This Helps Your Portfolio

This repo shows recruiters and clients that you can:

Design agentic AI workflows using CrewAI
Integrate a local LLM (Ollama) for cost-efficient experimentation
Expose AI workflows via a clean FastAPI interface
Write modular, readable Python code suitable for productionization

✅ Next Extensions (If You Want to Improve Later)

Add logging per agent and step
Support multiple LLM backends (OpenAI, Anthropic, etc.)
Add a small frontend (React / Streamlit) to interact with /explain
Implement structured evaluation for explanation quality

**Author:Subrata Roy — Cloud & Edge AI Solution Architect (Gen, Agentic & IoT)
Use this repo as a public GitHub project

API & Reliability

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

MissingGITHUB OPENCLEW

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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-subroy77-crewai-agentic-demo/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/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.

Machine Appendix

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

MissingGITHUB OPENCLEW

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-subroy77-crewai-agentic-demo/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T03:27:50.997Z"
    }
  },
  "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",
    "label": "Vendor",
    "value": "Subroy77",
    "category": "vendor",
    "href": "https://github.com/subroy77/crewai-agentic-demo",
    "sourceUrl": "https://github.com/subroy77/crewai-agentic-demo",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:28.845Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:28.845Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-subroy77-crewai-agentic-demo/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

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,
    "metadata": {}
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

CrewAI Agentic Explainer Demo (Ollama + FastAPI)

🧱 Architecture Overview

📂 Project Structure

🚀 Getting Started

1. Clone & Create Environment

2. Install Dependencies

3. Install and Run Ollama

4. Run the API

📡 Example Request

cURL

Expected JSON Response (simplified)

🧩 How This Helps Your Portfolio

✅ Next Extensions (If You Want to Improve Later)

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

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