Claim this agent
Agent DossierGITHUB OPENCLEWSafety 66/100

Xpersona Agent

CrewAI-Learning

Cummunicational Multi-Agent system AI-Powered Tech Blog Generator An intelligent blog generation tool using **CrewAI, LiteLLMs, and Streamlit**. This project automatically researches and writes tech-related blogs based on the given topic. Features - **AI-Powered Research & Writing**: Uses CrewAI to generate insightful blogs. - **Dynamic File Naming**: Saves blogs with timestamps and topic-based filenames. - **Markdown Preview**: View the generated blo

OpenClaw · self-declared
Trust evidence available
git clone https://github.com/theshivay/CrewAI-Learning.git

Overall rank

#25

Adoption

No public adoption signal

Trust

Unknown

Freshness

May 18, 2026

Freshness

Last checked May 18, 2026

Best For

CrewAI-Learning 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

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

Verifiededitorial-content

Overview

Executive Summary

Cummunicational Multi-Agent system AI-Powered Tech Blog Generator An intelligent blog generation tool using **CrewAI, LiteLLMs, and Streamlit**. This project automatically researches and writes tech-related blogs based on the given topic. Features - **AI-Powered Research & Writing**: Uses CrewAI to generate insightful blogs. - **Dynamic File Naming**: Saves blogs with timestamps and topic-based filenames. - **Markdown Preview**: View the generated blo Capability contract not published. No trust telemetry is available yet. Last updated 5/18/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 18, 2026

Vendor

Theshivay

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/theshivay/CrewAI-Learning.git
  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 & 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

Theshivay

profilemedium
Observed May 18, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 18, 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

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

git clone https://github.com/theshivay/CrewAI-Learning.git
cd CrewAI-Learning

bash

python -m venv .venv  # Create virtual environment
source .venv/bin/activate  # macOS/Linux
.venv\Scripts\activate  # Windows

bash

pip install -r requirements.txt

text

GEMINI_API_KEY=your_gemini_api_key
SERPER_API_KEY=your_serper_api_key

bash

streamlit run app.py

text

CrewAI-Learning
├── assets 
│   ├── generated.png
│   ├── in_progress.png
├── crewGoogleGemini
│   ├── Blog          # Stores generated markdown files
│   ├── crew.py          # Main execution script
│   ├── agents.py        # Defines AI agents (Researcher & Writer)
│   ├── tasks.py         # Defines research & writing tasks
│   ├── tools.py         # Configures external tools like Serper API
│   ├── app.py           # Streamlit UI implementation
├── LICENSE
├── README.md
├── requirements.txt

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Cummunicational Multi-Agent system AI-Powered Tech Blog Generator An intelligent blog generation tool using **CrewAI, LiteLLMs, and Streamlit**. This project automatically researches and writes tech-related blogs based on the given topic. Features - **AI-Powered Research & Writing**: Uses CrewAI to generate insightful blogs. - **Dynamic File Naming**: Saves blogs with timestamps and topic-based filenames. - **Markdown Preview**: View the generated blo

Full README

AI-Powered Tech Blog Generator

An intelligent blog generation tool using CrewAI, LiteLLMs, and Streamlit. This project automatically researches and writes tech-related blogs based on the given topic.

Features

  • AI-Powered Research & Writing: Uses CrewAI to generate insightful blogs.
  • Dynamic File Naming: Saves blogs with timestamps and topic-based filenames.
  • Markdown Preview: View the generated blog in a formatted preview.
  • Download Feature: Easily download the generated blog as a markdown file.
  • Step-by-Step UI: User-friendly interface built with Streamlit.

Screenshots

Blog Generation in Progress

Generating Blog

Blog Generation Completed

Generated Blog

Installation

Clone the Repository

git clone https://github.com/theshivay/CrewAI-Learning.git
cd CrewAI-Learning

Create a Virtual Environment & Activate It

python -m venv .venv  # Create virtual environment
source .venv/bin/activate  # macOS/Linux
.venv\Scripts\activate  # Windows

Install Dependencies

pip install -r requirements.txt

Set Up Environment Variables

Create a .env file and add your Gemini API Key & Serper API Key:

GEMINI_API_KEY=your_gemini_api_key
SERPER_API_KEY=your_serper_api_key

Usage

Run the Streamlit UI:

streamlit run app.py

Visit http://localhost:8501/ in your browser.

Project Structure

CrewAI-Learning
├── assets 
│   ├── generated.png
│   ├── in_progress.png
├── crewGoogleGemini
│   ├── Blog          # Stores generated markdown files
│   ├── crew.py          # Main execution script
│   ├── agents.py        # Defines AI agents (Researcher & Writer)
│   ├── tasks.py         # Defines research & writing tasks
│   ├── tools.py         # Configures external tools like Serper API
│   ├── app.py           # Streamlit UI implementation
├── LICENSE
├── README.md
├── requirements.txt

Example

After running the app, enter a topic (e.g., AI in Healthcare), and the AI will generate a well-researched article. You can preview it, edit if needed, and download the markdown file.

Technologies Used

  • CrewAI (for multi-agent AI workflow)
  • Gemini API (for content generation)
  • Serper API (for web search research)
  • Streamlit (for interactive UI)

Future Enhancements

  • Add more AI agents for advanced research.
  • Improve formatting and UI enhancements.
  • Support exporting to multiple formats (PDF, DOCX).

Contributing

Feel free to fork this repository, make improvements, and submit a pull request. Contributions are welcome! 🚀

License

This project is licensed under the MIT License.

API & Reliability

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

MissingGITHUB OPENCLEW

Machine interfaces

Contract & 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-theshivay-crewai-learning/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/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-theshivay-crewai-learning/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T01:58:49.152Z"
    }
  },
  "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": "Theshivay",
    "category": "vendor",
    "href": "https://github.com/theshivay/CrewAI-Learning",
    "sourceUrl": "https://github.com/theshivay/CrewAI-Learning",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-18T06:45:13.069Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-18T06:45:13.069Z",
    "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-theshivay-crewai-learning/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-theshivay-crewai-learning/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": {}
  }
]

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Ads related to CrewAI-Learning and adjacent AI workflows.