Crawler Summary

agentic-research-assistant answer-first brief

Deep Agentic Research Assistant using CrewAI Agentic framework πŸ” Agentic Research Assistant using $1 A deep agentic research assistant built with CrewAI, Serper, and Streamlit that helps you research locally any topic. Link to a <a href="https://agentic-research-crew-wgmesdsjqy2tsmjosxa3wm.streamlit.app/">live demo</a> of the application: 🌟 Features - πŸ€– Multiple LLMs Support - πŸ” Advanced answering capabilities using web search - πŸ“Š Real-time research process visualization - Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 6/1/2026.

Freshness

Last checked 6/1/2026

Best For

agentic-research-assistant 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

Claim this agent
Agent DossierGitHubSafety: 66/100

agentic-research-assistant

Deep Agentic Research Assistant using CrewAI Agentic framework πŸ” Agentic Research Assistant using $1 A deep agentic research assistant built with CrewAI, Serper, and Streamlit that helps you research locally any topic. Link to a <a href="https://agentic-research-crew-wgmesdsjqy2tsmjosxa3wm.streamlit.app/">live demo</a> of the application: 🌟 Features - πŸ€– Multiple LLMs Support - πŸ” Advanced answering capabilities using web search - πŸ“Š Real-time research process visualization -

OpenClawself-declared

Public facts

4

Change events

0

Artifacts

0

Freshness

Jun 1, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 6/1/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Jun 1, 2026

Vendor

Tohokantche

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Unpublished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. 1 GitHub stars reported by the source. Last updated 6/1/2026.

Setup snapshot

git clone https://github.com/Tohokantche/agentic-research-assistant.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 Ledger

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

Verifiededitorial-content
Vendor (1)

Vendor

Tohokantche

profilemedium
Observed May 24, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed May 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

https://agentic-research-crew-wgmesdsjqy2tsmjosxa3wm.streamlit.app/

text

agentic-research-crew
β”œβ”€β”€ knowledge
β”‚Β Β  └── crewai_storage
β”‚Β Β      β”œβ”€β”€ entities
β”‚Β Β      β”‚Β Β  └── {topic}_expert_Analyst_Academic_writer
β”‚Β Β      β”‚Β Β      β”œβ”€β”€ 711b55cb-3a1d-4f9e-9abd-772faaee41b5
β”‚Β Β      β”‚Β Β      β”‚Β Β  β”œβ”€β”€ data_level0.bin
β”‚Β Β      β”‚Β Β      β”‚Β Β  β”œβ”€β”€ header.bin
β”‚Β Β      β”‚Β Β      β”‚Β Β  β”œβ”€β”€ length.bin
β”‚Β Β      β”‚Β Β      β”‚Β Β  └── link_lists.bin
β”‚Β Β      β”‚Β Β      └── chroma.sqlite3
β”‚Β Β      β”œβ”€β”€ latest_kickoff_task_outputs.db
β”‚Β Β      β”œβ”€β”€ long_term_memory_storage.db
β”‚Β Β      └── short_term
β”‚Β Β          └── {topic}_expert_Analyst_Academic_writer
β”‚Β Β              β”œβ”€β”€ 8fae73ab-dc24-48e3-b8d9-36ce9ec1a8e2
β”‚Β Β              β”‚Β Β  β”œβ”€β”€ data_level0.bin
β”‚Β Β              β”‚Β Β  β”œβ”€β”€ header.bin
β”‚Β Β              β”‚Β Β  β”œβ”€β”€ length.bin
β”‚Β Β              β”‚Β Β  └── link_lists.bin
β”‚Β Β              └── chroma.sqlite3
β”œβ”€β”€ output
β”‚Β Β  └── research_report.md
β”œβ”€β”€ README.md
β”œβ”€β”€ requirements.txt
β”œβ”€β”€ run_app.py
β”œβ”€β”€ screenshot.png
β”œβ”€β”€ src
β”‚Β Β  β”œβ”€β”€ research_crew
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ __init__.py
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ config
β”‚Β Β  β”‚Β Β  β”‚Β Β  β”œβ”€β”€ agents.yaml
β”‚Β Β  β”‚Β Β  β”‚Β Β  β”œβ”€β”€ llms.yaml
β”‚Β Β  β”‚Β Β  β”‚Β Β  └── tasks.yaml
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ crew.py
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ main.py
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ tools
β”‚Β Β  β”‚Β Β  β”‚Β Β  β”œβ”€β”€ __init__.py
β”‚Β Β  β”‚Β Β  β”‚Β Β  └── custom_tool.py
β”‚Β Β  β”‚Β Β  └── utils.py
β”‚Β Β  β”œβ”€β”€ tests
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ __init__.py
β”‚Β Β  β”‚Β Β  └── test_research_crew.py
β”‚Β Β  β”œβ”€β”€ ui
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ __init__.py
β”‚Β Β  β”‚Β Β  └── sidebar.py
β”‚Β Β  └── utils
β”‚Β Β      β”œβ”€β”€ __init__.py
β”‚Β Β      └── output_handler.py
└── streamlit_app.py

bash

git clone https://github.com/Tohokantche/agentic-research-crew.git
cd agentic-research-crew

bash

python -m venv .venv
source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`

bash

pip install -r requirements.txt

bash

streamlit run streamlit_app.py

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Deep Agentic Research Assistant using CrewAI Agentic framework πŸ” Agentic Research Assistant using $1 A deep agentic research assistant built with CrewAI, Serper, and Streamlit that helps you research locally any topic. Link to a <a href="https://agentic-research-crew-wgmesdsjqy2tsmjosxa3wm.streamlit.app/">live demo</a> of the application: 🌟 Features - πŸ€– Multiple LLMs Support - πŸ” Advanced answering capabilities using web search - πŸ“Š Real-time research process visualization -

Full README

πŸ” Agentic Research Assistant using CrewAI

A deep agentic research assistant built with CrewAI, Serper, and Streamlit that helps you research locally any topic.

Agentic  research assistant

Link to a <a href="https://agentic-research-crew-wgmesdsjqy2tsmjosxa3wm.streamlit.app/">live demo</a> of the application:


https://agentic-research-crew-wgmesdsjqy2tsmjosxa3wm.streamlit.app/ 

🌟 Features

  • πŸ€– Multiple LLMs Support
  • πŸ” Advanced answering capabilities using web search
  • πŸ“Š Real-time research process visualization
  • πŸ“ Structured downloadable research reports
  • 🎯 Topic-driven research and analysis
  • πŸ’Ύ Long, Short, and Entity memory integration
  • πŸ”’ Secure API key management
  • πŸ“± Responsive and modern UI

πŸ› οΈ Project Structure

agentic-research-crew
β”œβ”€β”€ knowledge
β”‚Β Β  └── crewai_storage
β”‚Β Β      β”œβ”€β”€ entities
β”‚Β Β      β”‚Β Β  └── {topic}_expert_Analyst_Academic_writer
β”‚Β Β      β”‚Β Β      β”œβ”€β”€ 711b55cb-3a1d-4f9e-9abd-772faaee41b5
β”‚Β Β      β”‚Β Β      β”‚Β Β  β”œβ”€β”€ data_level0.bin
β”‚Β Β      β”‚Β Β      β”‚Β Β  β”œβ”€β”€ header.bin
β”‚Β Β      β”‚Β Β      β”‚Β Β  β”œβ”€β”€ length.bin
β”‚Β Β      β”‚Β Β      β”‚Β Β  └── link_lists.bin
β”‚Β Β      β”‚Β Β      └── chroma.sqlite3
β”‚Β Β      β”œβ”€β”€ latest_kickoff_task_outputs.db
β”‚Β Β      β”œβ”€β”€ long_term_memory_storage.db
β”‚Β Β      └── short_term
β”‚Β Β          └── {topic}_expert_Analyst_Academic_writer
β”‚Β Β              β”œβ”€β”€ 8fae73ab-dc24-48e3-b8d9-36ce9ec1a8e2
β”‚Β Β              β”‚Β Β  β”œβ”€β”€ data_level0.bin
β”‚Β Β              β”‚Β Β  β”œβ”€β”€ header.bin
β”‚Β Β              β”‚Β Β  β”œβ”€β”€ length.bin
β”‚Β Β              β”‚Β Β  └── link_lists.bin
β”‚Β Β              └── chroma.sqlite3
β”œβ”€β”€ output
β”‚Β Β  └── research_report.md
β”œβ”€β”€ README.md
β”œβ”€β”€ requirements.txt
β”œβ”€β”€ run_app.py
β”œβ”€β”€ screenshot.png
β”œβ”€β”€ src
β”‚Β Β  β”œβ”€β”€ research_crew
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ __init__.py
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ config
β”‚Β Β  β”‚Β Β  β”‚Β Β  β”œβ”€β”€ agents.yaml
β”‚Β Β  β”‚Β Β  β”‚Β Β  β”œβ”€β”€ llms.yaml
β”‚Β Β  β”‚Β Β  β”‚Β Β  └── tasks.yaml
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ crew.py
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ main.py
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ tools
β”‚Β Β  β”‚Β Β  β”‚Β Β  β”œβ”€β”€ __init__.py
β”‚Β Β  β”‚Β Β  β”‚Β Β  └── custom_tool.py
β”‚Β Β  β”‚Β Β  └── utils.py
β”‚Β Β  β”œβ”€β”€ tests
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ __init__.py
β”‚Β Β  β”‚Β Β  └── test_research_crew.py
β”‚Β Β  β”œβ”€β”€ ui
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ __init__.py
β”‚Β Β  β”‚Β Β  └── sidebar.py
β”‚Β Β  └── utils
β”‚Β Β      β”œβ”€β”€ __init__.py
β”‚Β Β      └── output_handler.py
└── streamlit_app.py

πŸ“‹ Requirements

  • Python ==3.11.9
  • OpenAI API key or GROQ API key for LLMs
  • Serper API key for web search
  • Streamlit for UI

πŸš€ Getting Started

  1. Clone the repository:
git clone https://github.com/Tohokantche/agentic-research-crew.git
cd agentic-research-crew
  1. Create and activate a virtual environment:
python -m venv .venv
source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`
  1. Install dependencies:
pip install -r requirements.txt
  1. Run the application:
streamlit run streamlit_app.py

πŸ”‘ API Keys Setup

The application requires the following API keys:

  1. OpenAI API Key or GROQ API Key

  2. Serper API Key for web search

Enter these keys in the sidebar of the application when prompted.

🎯 Usage

  1. Open the application in your web browser
  2. Select your preferred LLM provider (OpenAI, GROQ, Ollama)
  3. Enter your API keys in the sidebar
  4. Type your research topic and question in the text area
  5. Click "Start Research" to begin the research process
  6. View the real-time research process, total tokens cost, and final detailed report

πŸ’‘ Features in Detail

Research Agent

The research agent (src/research_crew/crew.py) is powered by CrewAI and configured to:

  • Conduct thorough research on a given topic, and a detailed question
  • Analyze and summarize information
  • Provide structured reports with key findings

LLMs configuration file

The language models (src/research_crew/config/llms.yaml) configurtion file used for the agents:

  • Easily access to all hyper-parameters at one place
  • Testing different hyper-parameters

Process Output

The output handler (src/utils/output_handler.py) provides:

  • Real-time process visualization
  • Clean, formatted output
  • Progress tracking

User Interface

The application features a modern, responsive UI with:

  • Intuitive sidebar configuration
  • Clear process visualization
  • Organized research results
  • Professional styling

🀝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ™ Acknowledgments

Contract & API

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

MissingGITHUB OPENCLEW

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-tohokantche-agentic-research-assistant/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/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
GITHUB_OPENCLEW@x1pay/langchain

Rank

65

LangChain/LangGraph tools for AI agent x402 payments on X1

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW

Rank

65

An implementation of a multi-agent swarm using LangGraph

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEWoceanbus-langchain

Rank

65

LangChain tools for OceanBus β€” give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

Traction

No public download signal

Freshness

Updated 4mo ago

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-tohokantche-agentic-research-assistant/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:20:25.994Z"
    }
  },
  "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": "Tohokantche",
    "category": "vendor",
    "href": "https://github.com/Tohokantche/agentic-research-assistant",
    "sourceUrl": "https://github.com/Tohokantche/agentic-research-assistant",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:51.026Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:51.026Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/Tohokantche/agentic-research-assistant",
    "sourceUrl": "https://github.com/Tohokantche/agentic-research-assistant",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:51.026Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-tohokantche-agentic-research-assistant/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

Sponsored

Ads related to agentic-research-assistant and adjacent AI workflows.