AionUi
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Crawler Summary
Multi-agent AI assistant that explains topics, finds research papers, analyzes gaps, and suggests outlines. Built using CrewAI and Gradio. $1 ๐ค AI Research Paper Companion using CrewAI Your personal AI assistant for exploring, understanding, and planning researchโbuilt with **CrewAI**, powered by **OpenAI**, and presented through a clean **Gradio** interface. --- ๐ 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
Multi-agent AI assistant that explains topics, finds research papers, analyzes gaps, and suggests outlines. Built using CrewAI and Gradio. $1 ๐ค AI Research Paper Companion using CrewAI Your personal AI assistant for exploring, understanding, and planning researchโbuilt with **CrewAI**, powered by **OpenAI**, and presented through a clean **Gradio** interface. --- ๐ Project Overview **AI Research Paper Companion** is a multi-agent system that helps researchers, students, and academicians to: - Understand complex topics - Discover relevant literature -
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Vaibhavdatascienceaero
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Setup snapshot
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Vaibhavdatascienceaero
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
4
Snippets
0
Languages
python
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
Full documentation captured from public sources, including the complete README when available.
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 ๐ค AI Research Paper Companion using CrewAI Your personal AI assistant for exploring, understanding, and planning researchโbuilt with **CrewAI**, powered by **OpenAI**, and presented through a clean **Gradio** interface. --- ๐ Project Overview **AI Research Paper Companion** is a multi-agent system that helps researchers, students, and academicians to: - Understand complex topics - Discover relevant literature -
Your personal AI assistant for exploring, understanding, and planning researchโbuilt with CrewAI, powered by OpenAI, and presented through a clean Gradio interface.
AI Research Paper Companion is a multi-agent system that helps researchers, students, and academicians to:
This system uses CrewAI to coordinate the following specialized agents:
| Agent Name | Role | |------------------|------| | ๐งพ Topic Explainer | Breaks down user input into digestible summaries with context | | ๐ Literature Finder | Uses APIs to locate related papers (e.g., ArXiv, Semantic Scholar) | | ๐ง Gap Analyzer | Identifies missing angles or underexplored areas in the topic | | ๐ Outline Generator | Creates a draft research outline based on identified gaps |
.env file โ Secure key managementClone the Repository
git clone https://github.com/your-username/AI-Research-Paper-Companion.git
cd AI-Research-Paper-Companion
Install Dependencies
pip install -r requirements.txt
Set API Keys
Create a .env file (already provided) and add your OpenAI key:
OPENAI_API_KEY=your_key_here
Run the Gradio App
Open the notebook or run:
python app.py
MIT License โ use, modify, and share freely!
Built using CrewAI, Gradio, and OpenAI GPT models.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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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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