Crawler Summary

AI-Research-Paper-Companion answer-first brief

Multi-agent AI assistant that explains topics, finds research papers, analyzes gaps, and suggests outlines. Built using CrewAI and Gradio. $1 ๐Ÿค– AI Research Paper Companion using CrewAI Your personal AI assistant for exploring, understanding, and planning researchโ€”built with **CrewAI**, powered by **OpenAI**, and presented through a clean **Gradio** interface. --- ๐Ÿš€ Project Overview **AI Research Paper Companion** is a multi-agent system that helps researchers, students, and academicians to: - Understand complex topics - Discover relevant literature - Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

AI-Research-Paper-Companion 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

Agent DossierGITHUB REPOSSafety: 66/100

AI-Research-Paper-Companion

Multi-agent AI assistant that explains topics, finds research papers, analyzes gaps, and suggests outlines. Built using CrewAI and Gradio. $1 ๐Ÿค– AI Research Paper Companion using CrewAI Your personal AI assistant for exploring, understanding, and planning researchโ€”built with **CrewAI**, powered by **OpenAI**, and presented through a clean **Gradio** interface. --- ๐Ÿš€ Project Overview **AI Research Paper Companion** is a multi-agent system that helps researchers, students, and academicians to: - Understand complex topics - Discover relevant literature -

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Vaibhavdatascienceaero

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Unpublished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 2/25/2026.

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

Vaibhavdatascienceaero

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 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

Artifacts Archive

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

Self-declaredGITHUB REPOS

Extracted files

0

Examples

4

Snippets

0

Languages

python

Executable Examples

bash

git clone https://github.com/your-username/AI-Research-Paper-Companion.git
   cd AI-Research-Paper-Companion

bash

pip install -r requirements.txt

text

OPENAI_API_KEY=your_key_here

bash

python app.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

Multi-agent AI assistant that explains topics, finds research papers, analyzes gaps, and suggests outlines. Built using CrewAI and Gradio. $1 ๐Ÿค– AI Research Paper Companion using CrewAI Your personal AI assistant for exploring, understanding, and planning researchโ€”built with **CrewAI**, powered by **OpenAI**, and presented through a clean **Gradio** interface. --- ๐Ÿš€ Project Overview **AI Research Paper Companion** is a multi-agent system that helps researchers, students, and academicians to: - Understand complex topics - Discover relevant literature -

Full README

README_CREW_AI_RESEARCH.md

๐Ÿค– AI Research Paper Companion using CrewAI

Your personal AI assistant for exploring, understanding, and planning researchโ€”built with CrewAI, powered by OpenAI, and presented through a clean Gradio interface.


๐Ÿš€ Project Overview

AI Research Paper Companion is a multi-agent system that helps researchers, students, and academicians to:

  • Understand complex topics
  • Discover relevant literature
  • Identify gaps in research
  • Generate structured outlines for new research ideas

๐Ÿง  Agents

This system uses CrewAI to coordinate the following specialized agents:

| Agent Name | Role | |------------------|------| | ๐Ÿงพ Topic Explainer | Breaks down user input into digestible summaries with context | | ๐Ÿ” Literature Finder | Uses APIs to locate related papers (e.g., ArXiv, Semantic Scholar) | | ๐Ÿšง Gap Analyzer | Identifies missing angles or underexplored areas in the topic | | ๐Ÿ“‹ Outline Generator | Creates a draft research outline based on identified gaps |


๐Ÿ› ๏ธ Tech Stack

  • CrewAI โ€“ Agent orchestration framework
  • OpenAI GPT Models โ€“ Summarization and reasoning
  • Gradio โ€“ UI for user interaction
  • ArXiv / Semantic Scholar APIs โ€“ Paper search
  • Python (Jupyter Notebook) โ€“ Workflow prototyping
  • .env file โ€“ Secure key management

๐ŸŽฎ How to Run the Project

  1. Clone the Repository

    git clone https://github.com/your-username/AI-Research-Paper-Companion.git
    cd AI-Research-Paper-Companion
    
  2. Install Dependencies

    pip install -r requirements.txt
    
  3. Set API Keys
    Create a .env file (already provided) and add your OpenAI key:

    OPENAI_API_KEY=your_key_here
    
  4. Run the Gradio App
    Open the notebook or run:

    python app.py
    

๐Ÿงช Features Demo (via Gradio UI)

  • ๐Ÿ”˜ Input your research topic
  • ๐Ÿ“š Get summaries of top related papers
  • ๐Ÿง  View gaps and underexplored areas
  • ๐Ÿ“ Receive an auto-generated research outline

๐Ÿ“Œ Use Cases

  • Research planning & ideation
  • Academic literature reviews
  • Thesis brainstorming
  • Learning companion for students

๐Ÿงญ Future Roadmap

  • PDF ingestion & long-form paper summarization
  • Integration with Zotero, Mendeley
  • Multi-turn conversation history
  • Export outlines as LaTeX or Word

๐Ÿ“œ License

MIT License โ€“ use, modify, and share freely!


๐Ÿ™Œ Credits

Built using CrewAI, Gradio, and OpenAI GPT models.

Contract & API

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

MissingGITHUB REPOS

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-vaibhavdatascienceaero-ai-research-paper-companion/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/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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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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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-vaibhavdatascienceaero-ai-research-paper-companion/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:48:39.819Z"
    }
  },
  "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": "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": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Vaibhavdatascienceaero",
    "href": "https://github.com/VaibhavDatascienceAero/AI-Research-Paper-Companion",
    "sourceUrl": "https://github.com/VaibhavDatascienceAero/AI-Research-Paper-Companion",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:07:15.770Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:07:15.770Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-vaibhavdatascienceaero-ai-research-paper-companion/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub ยท 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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