Xpersona

Crawler Summary

crew-ai-rsesrch-crew answer-first brief

CrewAI research crew powered by Nebius AI for emerging technology analysis CrewAI Research Crew An AI research crew built with CrewAI and Nebius AI. The project coordinates specialized agents that discover, evaluate, and summarize emerging technology trends using Meta-Llama-3.1-70B-Instruct as the default reasoning model. Live website: https://tirth1263.github.io/crew-ai-rsesrch-crew/ Repository: https://github.com/tirth1263/crew-ai-rsesrch-crew Why this project is useful Technology researc Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

crew-ai-rsesrch-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 REPOS, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Agent DossierGITHUB REPOSSafety: 66/100

crew-ai-rsesrch-crew

CrewAI research crew powered by Nebius AI for emerging technology analysis CrewAI Research Crew An AI research crew built with CrewAI and Nebius AI. The project coordinates specialized agents that discover, evaluate, and summarize emerging technology trends using Meta-Llama-3.1-70B-Instruct as the default reasoning model. Live website: https://tirth1263.github.io/crew-ai-rsesrch-crew/ Repository: https://github.com/tirth1263/crew-ai-rsesrch-crew Why this project is useful Technology researc

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

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

Tirth1263

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Unpublished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. Last updated 10/9/2026.

View Source

Setup snapshot

  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

Tirth1263

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 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

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

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

git clone https://github.com/tirth1263/crew-ai-rsesrch-crew.git
cd crew-ai-rsesrch-crew

bash

# Using pip
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

powershell

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt

bash

uv sync

env

NEBIUS_API_KEY=your_api_key_here

bash

python main.py

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

CrewAI research crew powered by Nebius AI for emerging technology analysis CrewAI Research Crew An AI research crew built with CrewAI and Nebius AI. The project coordinates specialized agents that discover, evaluate, and summarize emerging technology trends using Meta-Llama-3.1-70B-Instruct as the default reasoning model. Live website: https://tirth1263.github.io/crew-ai-rsesrch-crew/ Repository: https://github.com/tirth1263/crew-ai-rsesrch-crew Why this project is useful Technology researc

Full README

CrewAI Research Crew

An AI research crew built with CrewAI and Nebius AI. The project coordinates specialized agents that discover, evaluate, and summarize emerging technology trends using Meta-Llama-3.1-70B-Instruct as the default reasoning model.

Live website: https://tirth1263.github.io/crew-ai-rsesrch-crew/

Repository: https://github.com/tirth1263/crew-ai-rsesrch-crew

Why this project is useful

Technology research is noisy. New frameworks, model releases, robotics systems, quantum tooling, climate hardware, and human-AI workflows appear constantly, but teams still need a clear way to separate signal from hype. This starter crew turns a broad research topic into a structured Markdown brief with trend context, commercial potential, technical readiness, risks, and recommended next steps.

The project is intentionally small enough to understand quickly, but organized so it can grow into a more advanced research assistant. Add search tools, extra agents, custom scoring rubrics, report exporters, or scheduled runs as your workflow matures.

Features

  • Specialized research agent for discovering relevant breakthrough technologies.
  • Strategy analyst agent for turning raw findings into an executive-ready brief.
  • Nebius AI integration through an OpenAI-compatible API base URL.
  • Default Meta-Llama-3.1-70B-Instruct model configuration.
  • Sequential CrewAI process for predictable task execution.
  • Clean CLI entry point with custom research topics.
  • Markdown output that can be copied into reports, docs, or dashboards.
  • Deployment-ready GitHub Pages website in the docs/ directory.

Tech stack

  • Python 3.10 to 3.13
  • CrewAI
  • LiteLLM provider support through crewai[litellm]
  • Nebius AI Token Factory API
  • python-dotenv
  • Static HTML, CSS, and JavaScript for the project website

Installation

  1. Clone the repository:
git clone https://github.com/tirth1263/crew-ai-rsesrch-crew.git
cd crew-ai-rsesrch-crew
  1. Install dependencies:
# Using pip
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

On Windows PowerShell:

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt

Or using uv:

uv sync
  1. Create a .env file in the project root and add your Nebius API key:
NEBIUS_API_KEY=your_api_key_here

You can get a key from the Nebius Token Factory: https://studio.nebius.ai/

Usage

Run the research crew with the default topic:

python main.py

Run it with your own research topic:

python main.py --topic "breakthroughs in sustainable robotics"

Save the report to a Markdown file:

python main.py --topic "the next big trend in AI agents" --save reports/ai-agents.md

Example tasks

  • Identify the next big trend in AI.
  • Analyze emerging technologies in quantum computing.
  • Research breakthroughs in sustainable tech.
  • Investigate the future of human-AI collaboration.
  • Explore cutting-edge developments in robotics.

How it works

The crew uses two agents:

  1. Breakthrough Technology Researcher

    • Finds promising emerging technologies.
    • Separates credible signals from hype.
    • Captures technical, market, and adoption context.

  2. Technology Strategy Analyst

    • Converts research notes into a polished Markdown report.
    • Highlights opportunities, risks, timing, and recommended next steps.
    • Produces a structured brief that is easy for readers to scan.

The tasks run sequentially. First, the researcher gathers and organizes the discovery brief. Then, the analyst uses that context to create the final report.

Environment variables

| Variable | Required | Default | Description | | --- | --- | --- | --- | | NEBIUS_API_KEY | Yes | None | Your Nebius API key. | | NEBIUS_MODEL_ID | No | meta-llama/Meta-Llama-3.1-70B-Instruct | Model ID sent to Nebius. | | NEBIUS_API_BASE | No | https://api.tokenfactory.nebius.com/v1/ | OpenAI-compatible Nebius endpoint. | | CREWAI_MODEL | No | openai/meta-llama/Meta-Llama-3.1-70B-Instruct | CrewAI/LiteLLM model string. | | CREW_TEMPERATURE | No | 0.25 | Creativity level for the agents. | | CREW_MAX_TOKENS | No | 4000 | Maximum tokens for model responses. |

Project structure

.
├── docs/                  # Published GitHub Pages website
├── src/research_crew/     # CrewAI application code
├── tests/                 # Lightweight configuration tests
├── .env.example           # Safe environment template
├── main.py                # CLI entry point shown in the quickstart
├── pyproject.toml         # uv/project metadata
├── requirements.txt       # pip dependencies
└── README.md

Customization ideas

  • Add a web search tool for live source-backed research.
  • Add a market analyst, technical reviewer, or risk analyst agent.
  • Save final reports as HTML, PDF, or DOCX.
  • Schedule recurring trend scans.
  • Build a Streamlit, FastAPI, or Next.js dashboard around the crew.

Notes

This starter does not commit your .env file or API key. Keep secrets local and rotate them if they are ever exposed.

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust 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-tirth1263-crew-ai-rsesrch-crew/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/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.

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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-tirth1263-crew-ai-rsesrch-crew/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T21:57:49.010Z"
    }
  },
  "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": "Tirth1263",
    "href": "https://github.com/tirth1263/crew-ai-rsesrch-crew",
    "sourceUrl": "https://github.com/tirth1263/crew-ai-rsesrch-crew",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T20:05:57.620Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T20:05:57.620Z",
    "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-tirth1263-crew-ai-rsesrch-crew/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-tirth1263-crew-ai-rsesrch-crew/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
  }
]

Sponsored

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