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.

Crawler Summary

Multi-Agent-AI-Research-Technical-Content-Generation-System- answer-first brief

Multi-Agent AI Research System Built with CrewAI + Gemini + Gradio CrewAI Multi-Agent Research Assistant Overview CrewAI Multi-Agent Research Assistant is an AI-powered application that automates the complete research workflow using multiple specialized AI agents. The system leverages CrewAI for agent orchestration, Google Gemini 2.5 Flash as the language model, and Gradio for the user interface. The application follows a sequential workflow where each agent performs a dedicated res Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

Multi-Agent-AI-Research-Technical-Content-Generation-System- 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

Card Facts Snapshot Contract Trust

Agent DossierGITHUB REPOSSafety: 66/100

Multi-Agent-AI-Research-Technical-Content-Generation-System-

OpenClawself-declared

Public facts

Change events

Artifacts

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

Someshwar Sudo

Artifacts

Benchmarks

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Unpublished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
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 Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Someshwar Sudo

profilemedium

Observed Oct 9, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Oct 9, 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

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

Examples

Snippets

Languages

python

Executable Examples

text

+----------------------+
                        |      User            |
                        +----------+-----------+
                                   |
                                   v
                        +----------------------+
                        |     Gradio UI        |
                        +----------+-----------+
                                   |
                                   v
                        +----------------------+
                        |      CrewAI Crew     |
                        +----------+-----------+
                                   |
         ---------------------------------------------------
         |                     |                           |
         v                     v                           v
+----------------+    +----------------+        +----------------+
| Research Agent | -> | Writer Agent   | ->     | Reviewer Agent |
+----------------+    +----------------+        +----------------+
         |                     |                           |
         ---------------------------------------------------
                                   |
                                   v
                        +----------------------+
                        |  Gemini 2.5 Flash    |
                        +----------+-----------+
                                   |
                                   v
                        +----------------------+
                        |   Final Response     |
                        +----------------------+

text

CrewAI-Multi-Agent-Research/
│
├── app.py
├── crew.py
├── requirements.txt
├── .env
├── .gitignore
├── README.md
│
├── assets/
│
└── outputs/

bash

git clone https://github.com/<your-username>/crewai-multi-agent-research.git
cd crewai-multi-agent-research

bash

python -m venv venv
venv\Scripts\activate

bash

python3 -m venv venv
source venv/bin/activate

bash

pip install -r requirements.txt

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

CrewAI Multi-Agent Research Assistant

Overview

CrewAI Multi-Agent Research Assistant is an AI-powered application that automates the complete research workflow using multiple specialized AI agents. The system leverages CrewAI for agent orchestration, Google Gemini 2.5 Flash as the language model, and Gradio for the user interface.

The application follows a sequential workflow where each agent performs a dedicated responsibility:

Research Agent – Collects and analyzes information about the given topic.
Technical Writer Agent – Converts research into a structured technical document.
Reviewer Agent – Reviews and refines the generated content to ensure clarity, accuracy, and readability.

Features

Multi-agent architecture using CrewAI
Automated research on user-provided topics
Technical content generation
AI-powered content review and refinement
Interactive Gradio web interface
Modular and extensible project structure

Technology Stack

| Component | Technology | | ---------------------- | ----------------------- | | Programming Language | Python | | Multi-Agent Framework | CrewAI | | Large Language Model | Google Gemini 2.5 Flash | | User Interface | Gradio | | Environment Management | python-dotenv |

System Architecture

                        +----------------------+
                        |      User            |
                        +----------+-----------+
                                   |
                                   v
                        +----------------------+
                        |     Gradio UI        |
                        +----------+-----------+
                                   |
                                   v
                        +----------------------+
                        |      CrewAI Crew     |
                        +----------+-----------+
                                   |
         ---------------------------------------------------
         |                     |                           |
         v                     v                           v
+----------------+    +----------------+        +----------------+
| Research Agent | -> | Writer Agent   | ->     | Reviewer Agent |
+----------------+    +----------------+        +----------------+
         |                     |                           |
         ---------------------------------------------------
                                   |
                                   v
                        +----------------------+
                        |  Gemini 2.5 Flash    |
                        +----------+-----------+
                                   |
                                   v
                        +----------------------+
                        |   Final Response     |
                        +----------------------+

Workflow

User enters a research topic through the Gradio interface.
CrewAI initializes the workflow.
The Research Agent gathers information related to the topic.
The Technical Writer Agent converts the research into structured content.
The Reviewer Agent validates and improves the generated document.
The final reviewed content is returned to the user.

Project Structure

CrewAI-Multi-Agent-Research/
│
├── app.py
├── crew.py
├── requirements.txt
├── .env
├── .gitignore
├── README.md
│
├── assets/
│
└── outputs/

Installation

Clone the Repository

git clone https://github.com/<your-username>/crewai-multi-agent-research.git
cd crewai-multi-agent-research

Create a Virtual Environment

Windows

python -m venv venv
venv\Scripts\activate

Linux/macOS

python3 -m venv venv
source venv/bin/activate

Install Dependencies

pip install -r requirements.txt

Environment Variables

Create a .env file in the project root.

GEMINI_API_KEY=your_api_key

Running the Application

python app.py

The application will launch a local Gradio interface in your browser.

Example Topics

Generative AI
Agentic AI
CrewAI
Model Context Protocol (MCP)
Retrieval-Augmented Generation (RAG)
LangGraph
Large Language Models
Vector Databases
AI Agents

Future Enhancements

Live progress updates for each agent
Streaming responses
PDF and DOCX export
Search tool integration
Multiple LLM support
Agent memory
FastAPI backend
Docker deployment
Cloud deployment

Security

Store API keys in the .env file.
Do not commit the .env file to version control.
Ensure .env is included in .gitignore.

License

This project is licensed under the MIT License.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

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-someshwar-sudo-multi-agent-ai-research-technical-content/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/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.

Self-declaredprotocol-neighbors

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activepieces

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OPENCLAW

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The Frontend for Agents & Generative UI. React + Angular

OPENCLAW

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-someshwar-sudo-multi-agent-ai-research-technical-content/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T01:52:50.958Z"
    }
  },
  "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": "Someshwar Sudo",
    "href": "https://github.com/Someshwar-sudo/Multi-Agent-AI-Research-Technical-Content-Generation-System-",
    "sourceUrl": "https://github.com/Someshwar-sudo/Multi-Agent-AI-Research-Technical-Content-Generation-System-",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:04:02.377Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:04:02.377Z",
    "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-someshwar-sudo-multi-agent-ai-research-technical-content/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-someshwar-sudo-multi-agent-ai-research-technical-content/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
  }
]