Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Xpersona Agent
A Multi-agent fact checking system which is developed using CrewAI, an intelligent Agentic AI framework. ๐ FactBot AI: Your Intelligent Multi-Agent Fact-Checking System *A glimpse of FactBot AI's intuitive dark-themed interface.* ๐ Overview Welcome to **FactBot AI**, a sophisticated multi-agent system designed to deliver comprehensive and rapid fact-checking capabilities. Built with the powerful CrewAI framework and presented through an intuitive Streamlit interface, FactBot AI takes a news article or topic as input,
Overall rank
#20
Adoption
1 GitHub stars
Trust
Unknown
Freshness
Feb 25, 2026
Freshness
Last checked Feb 25, 2026
Best For
FactBot-AI 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
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
A Multi-agent fact checking system which is developed using CrewAI, an intelligent Agentic AI framework. ๐ FactBot AI: Your Intelligent Multi-Agent Fact-Checking System *A glimpse of FactBot AI's intuitive dark-themed interface.* ๐ Overview Welcome to **FactBot AI**, a sophisticated multi-agent system designed to deliver comprehensive and rapid fact-checking capabilities. Built with the powerful CrewAI framework and presented through an intuitive Streamlit interface, FactBot AI takes a news article or topic as input, Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Saikiran1224
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
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.
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Vendor
Saikiran1224
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Extracted files
0
Examples
4
Snippets
0
Languages
python
bash
git clone https://github.com/saikiran1224/FactBot-AI.git
cd factbot-aipython
pip install -r requirements.txt
text
GEMINI_API_KEY="your_gemini_api_key_here"
SERPER_API_KEY="your_serper_api_key_here"python
streamlit run main.py
Editorial read
Docs source
GITHUB REPOS
Editorial quality
ready
A Multi-agent fact checking system which is developed using CrewAI, an intelligent Agentic AI framework. ๐ FactBot AI: Your Intelligent Multi-Agent Fact-Checking System *A glimpse of FactBot AI's intuitive dark-themed interface.* ๐ Overview Welcome to **FactBot AI**, a sophisticated multi-agent system designed to deliver comprehensive and rapid fact-checking capabilities. Built with the powerful CrewAI framework and presented through an intuitive Streamlit interface, FactBot AI takes a news article or topic as input,
A glimpse of FactBot AI's intuitive dark-themed interface.
Welcome to FactBot AI, a sophisticated multi-agent system designed to deliver comprehensive and rapid fact-checking capabilities. Built with the powerful CrewAI framework and presented through an intuitive Streamlit interface, FactBot AI takes a news article or topic as input, processes it through a network of specialized agents, and provides a concise final verdict, supported by verified articles, detailed reasoning, and actionable recommendations.
This intelligent application is engineered to bring clarity and accuracy to the information landscape, ensuring you receive well-substantiated insights along with transparency into the verification process.
Intelligent Multi-Agent System: Leveraging CrewAI, FactBot AI orchestrates a team of specialized AI agents, each focusing on different aspects of fact-checking to ensure thorough and accurate analysis.
Comprehensive Output: For every input, FactBot AI provides:
Transparency & Metrics:
User-Friendly Interface: A sleek, dark-themed Streamlit application designed for ease of use and optimal readability.
Rapid Processing: Experience swift fact-checking, delivering comprehensive results in a minimal timeframe.
FactBot AI is built upon robust and modern technologies:
To run this project, ensure you have these installed.
FactBot AI relies on external APIs for its comprehensive fact-checking capabilities:
Ensure these API keys are configured as environment variables or within a .env file for secure access.
Follow these simple steps to set up and run FactBot AI on your local machine:
Clone the Repository:
git clone https://github.com/saikiran1224/FactBot-AI.git
cd factbot-ai
Install Dependencies:
pip install -r requirements.txt
Configure API Keys:
Create a .env file in the root directory of the project and add your API keys:
GEMINI_API_KEY="your_gemini_api_key_here"
SERPER_API_KEY="your_serper_api_key_here"
Replace "your_gemini_api_key_here" and "your_serper_api_key_here" with your actual API keys.
Run the Application:
streamlit run main.py
Access the App:
If not automatically opened, Open your web browser and navigate to http://localhost:8501
FactBot AI features a carefully designed dark theme for an optimal viewing experience. The theme is configured in main.py and can be customized:
#4CAF50 (A trust-evoking green)#121212 (Main), #1E1E1E (Component)#E0E0E0 (Light), #A0A0A0 (Secondary)Feel free to modify these values to suit your aesthetic preferences.
The project is organized into logical components for clarity and maintainability:
main.py: The entry point of the Streamlit application, handling the user interface and interactions.trigger_crew.py: Contains the core logic for orchestrating the multi-agent fact-checking process using CrewAI.requirements.txt: List of all Python dependencies required for the project.README.md: This documentation file..env: (Recommended) File for securely storing API keys and other environment variables.We welcome contributions to enhance FactBot AI! If you have suggestions, bug reports, or want to contribute code, please feel free to:
This project is licensed under the MIT License. See the LICENSE file in the repository for full details.
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/trust"
Operational fit
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
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
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://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-17T06:15:01.303Z"
}
},
"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": "Saikiran1224",
"href": "https://github.com/saikiran1224/FactBot-AI",
"sourceUrl": "https://github.com/saikiran1224/FactBot-AI",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/saikiran1224/FactBot-AI",
"sourceUrl": "https://github.com/saikiran1224/FactBot-AI",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"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://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-saikiran1224-factbot-ai/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
Ads related to FactBot-AI and adjacent AI workflows.