How should deep-research-crew 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

deep-research-crew

A fully autonomous, 100% local AI research team built with CrewAI and Ollama. Agents collaborate to conduct deep web research, analyze data, and publish comprehensive reports using LLM. Deep Research Crew 🕵️‍♂️📚 **A fully autonomous, local Multi-Agent System for in-depth research, analysis, and content creation.** Built with **$1** and **$1**, this project creates a team of AI agents that collaborate to research a topic, analyze the findings, write a comprehensive report, and save it to your local machine—all running locally on your hardware using 3B parameter models (like Qwen 2.5). --- 🌟 Featur

OpenClaw · self-declared

1 GitHub starsTrust evidence available

View Source

git clone https://github.com/pranav-wakode/deep-research-crew.git

Overall rank

#20

Adoption

1 GitHub stars

Trust

Unknown

Freshness

May 13, 2026

Freshness

Last checked May 13, 2026

Best For

deep-research-crew 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 signals1 GitHub stars

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 13, 2026

Vendor

Pranav Wakode

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/pranav-wakode/deep-research-crew.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

Pranav Wakode

profilemedium

Observed May 13, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 13, 2026Source link Provenance

Adoption (1)

Adoption signal

1 GitHub stars

profilemedium

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

graph LR
    A[User Input] --> B(Researcher)
    B -->|Raw Findings| C(Analyst)
    C -->|Structured Outline| D(Writer)
    D -->|Final Markdown| E(Publisher)
    E -->|Save File| F[output/filename.md]

bash

git clone https://github.com/pranav-wakode/deep-research-crew.git
cd deep-research-crew

bash

# Linux/Mac
python3 -m venv venv
source venv/bin/activate

# Windows
python -m venv venv
venv\Scripts\activate

bash

pip install -r requirements.txt

bash

ollama pull yxchia/qwen2.5-3b-instruct:Q4_K_M

bash

ollama serve

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

Deep Research Crew 🕵️‍♂️📚

A fully autonomous, local Multi-Agent System for in-depth research, analysis, and content creation.

Built with CrewAI and Ollama, this project creates a team of AI agents that collaborate to research a topic, analyze the findings, write a comprehensive report, and save it to your local machine—all running locally on your hardware using 3B parameter models (like Qwen 2.5).

🌟 Features

100% Local Execution: Uses Ollama to run quantized LLMs (e.g., Qwen 2.5 3B), ensuring privacy and zero cost.
Multi-Agent Pipeline: Four specialized agents work sequentially:
1. Senior Research Analyst: Scours the web for recent developments, facts, and expert opinions.
2. Critical Content Strategist: Critiques the raw data, identifies gaps, and builds a logical outline.
3. Lead Content Creator: Drafts a professional, well-formatted Markdown report.
4. File Publishing Utility: Safely handles file I/O to save your report.
Real-Web Access: Integrated DuckDuckGo Search allows agents to fetch real-time information.
Safe File System: Custom SafeFileWriteTool ensures agents can only write to a designated output/ directory.
Interactive CLI: A continuous loop interface allows you to run multiple research tasks in one session.

🏗️ Architecture

The system operates on a "Chain of Thought" workflow:

graph LR
    A[User Input] --> B(Researcher)
    B -->|Raw Findings| C(Analyst)
    C -->|Structured Outline| D(Writer)
    D -->|Final Markdown| E(Publisher)
    E -->|Save File| F[output/filename.md]

The Agents

Senior Research Analyst: Uses DuckDuckGoSearchTool to gather raw information.
Critical Content Strategist: Pure logic agent. Structures chaotic data into a coherent narrative.
Lead Content Creator: Creative agent. Writes engaging prose based on the strategist's outline.
File Publishing Utility: Functional agent. Strictly prohibited from "thinking" or "formatting"; its only job is to execute the save command.

🚀 Getting Started

Prerequisites

Python 3.10+
Ollama installed and running.

Installation

Clone the repository:

git clone https://github.com/pranav-wakode/deep-research-crew.git
cd deep-research-crew

Create and activate a virtual environment:

# Linux/Mac
python3 -m venv venv
source venv/bin/activate

# Windows
python -m venv venv
venv\Scripts\activate

Install dependencies:

pip install -r requirements.txt

Setup the Local Model: Make sure Ollama is running, then pull the model used in the configuration (Qwen 2.5 3B Instruct is recommended for speed/quality balance):

ollama pull yxchia/qwen2.5-3b-instruct:Q4_K_M

(Note: If you want to use a different model, edit 'model=' in 'src/agents.py').

🏃‍♂️ Usage

Start the Ollama Server (in a separate terminal):

ollama serve

Run the Crew:

python3 main.py

Interact:

Enter your research topic when prompted (e.g., "The future of solid state batteries").
The crew will execute the pipeline (Research -> Analyze -> Write -> Publish).
Once finished, the script will tell you where the file is saved (e.g., 'output/the_future_of_solid_state_batteries.md').

📂 Project Structure

deep-research-crew/
├── main.py               # Entry point (CLI loop, filename logic)
├── requirements.txt      # Python dependencies
├── output/               # Generated reports are saved here
└── src/
    ├── __init__.py
    ├── agents.py         # Agent definitions and LLM configuration
    ├── tasks.py          # Prompt engineering for specific tasks
    └── custom_tools.py   # Wrapper for Search and File System tools

📄 License

Distributed under the MIT License. See 'LICENSE' for more information.

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-pranav-wakode-deep-research-crew/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/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-pranav-wakode-deep-research-crew/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T03:31:12.844Z"
    }
  },
  "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": "Pranav Wakode",
    "category": "vendor",
    "href": "https://github.com/pranav-wakode/deep-research-crew",
    "sourceUrl": "https://github.com/pranav-wakode/deep-research-crew",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:29.400Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:29.400Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/pranav-wakode/deep-research-crew",
    "sourceUrl": "https://github.com/pranav-wakode/deep-research-crew",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:29.400Z",
    "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-pranav-wakode-deep-research-crew/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranav-wakode-deep-research-crew/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

Deep Research Crew 🕵️‍♂️📚

🌟 Features

🏗️ Architecture

The Agents

🚀 Getting Started

Prerequisites

Installation

🏃‍♂️ Usage

📂 Project Structure

📄 License

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

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