Github ReposUpdated 13h agoRank 70
AionUi
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
MCPOPENCLAW
Crawler Summary
Day7_Agentic_AI answer-first brief
An autonomous Multi-Agent Research & Reporting system built with CrewAI, Groq (Llama 3.3), and Streamlit. Features collaborative AI agents for deep web research and professional content generation. 🤖 Multi-Agent AI Research Crew A **Streamlit-powered** multi-agent research and content generation system built with $1. Two autonomous AI agents collaborate in sequence — a **Research Analyst** gathers insights from the web, then a **Content Strategist** transforms them into a polished, professional report. --- ✨ Features - **Autonomous Multi-Agent Workflow** — Two specialized AI agents working in a sequential pipe Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
Day7_Agentic_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
Agent DossierGITHUB REPOSSafety: 66/100
Day7_Agentic_AI
An autonomous Multi-Agent Research & Reporting system built with CrewAI, Groq (Llama 3.3), and Streamlit. Features collaborative AI agents for deep web research and professional content generation. 🤖 Multi-Agent AI Research Crew A **Streamlit-powered** multi-agent research and content generation system built with $1. Two autonomous AI agents collaborate in sequence — a **Research Analyst** gathers insights from the web, then a **Content Strategist** transforms them into a polished, professional report. --- ✨ Features - **Autonomous Multi-Agent Workflow** — Two specialized AI agents working in a sequential pipe
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
Nihadidriszade1
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
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 10/9/2026.
Setup snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 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.
Vendor (1)
Vendor
Nihadidriszade1
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
python
Executable Examples
text
User Input (Topic)
│
▼
┌──────────────────────┐
│ Research Analyst │ ← Agent 1: Searches the web, collects data
│ (DuckDuckGo Search) │
└──────────┬───────────┘
│
▼
┌──────────────────────┐
│ Content Strategist │ ← Agent 2: Writes a polished final report
│ (Technical Writer) │
└──────────┬───────────┘
│
▼
📄 Final Reportbash
git clone https://github.com/nihadidriszade1/Day7_Agentic_AI.git cd day7
bash
python -m venv .venv # Windows .venv\Scripts\activate # macOS / Linux source .venv/bin/activate
bash
pip install -r requirements.txt
bash
streamlit run app.py
text
day7/ ├── app.py # Main application (agents, tasks, UI) ├── requirements.txt # Python dependencies ├── README.md # This file ├── LICENSE # MIT License └── .gitignore # Git ignore rules
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
An autonomous Multi-Agent Research & Reporting system built with CrewAI, Groq (Llama 3.3), and Streamlit. Features collaborative AI agents for deep web research and professional content generation. 🤖 Multi-Agent AI Research Crew A **Streamlit-powered** multi-agent research and content generation system built with $1. Two autonomous AI agents collaborate in sequence — a **Research Analyst** gathers insights from the web, then a **Content Strategist** transforms them into a polished, professional report. --- ✨ Features - **Autonomous Multi-Agent Workflow** — Two specialized AI agents working in a sequential pipe
Full README
🤖 Multi-Agent AI Research Crew
A Streamlit-powered multi-agent research and content generation system built with CrewAI. Two autonomous AI agents collaborate in sequence — a Research Analyst gathers insights from the web, then a Content Strategist transforms them into a polished, professional report.
✨ Features
- Autonomous Multi-Agent Workflow — Two specialized AI agents working in a sequential pipeline.
- Live Web Research — Uses DuckDuckGo search to find up-to-date information on any topic.
- Professional Report Generation — Outputs a structured markdown report with executive summary, key findings, trends, risks, and future outlook.
- Streamlit UI — Clean, interactive web interface with sidebar configuration.
- Groq LLM Integration — Powered by Groq's blazing-fast
llama-3.3-70b-versatilemodel.
🏗️ Architecture
User Input (Topic)
│
▼
┌──────────────────────┐
│ Research Analyst │ ← Agent 1: Searches the web, collects data
│ (DuckDuckGo Search) │
└──────────┬───────────┘
│
▼
┌──────────────────────┐
│ Content Strategist │ ← Agent 2: Writes a polished final report
│ (Technical Writer) │
└──────────┬───────────┘
│
▼
📄 Final Report
📋 Prerequisites
- Python 3.10+
- A Groq API Key — get one free at console.groq.com
🚀 Getting Started
1. Clone the repository
git clone https://github.com/nihadidriszade1/Day7_Agentic_AI.git
cd day7
2. Create and activate a virtual environment
python -m venv .venv
# Windows
.venv\Scripts\activate
# macOS / Linux
source .venv/bin/activate
3. Install dependencies
pip install -r requirements.txt
4. Run the application
streamlit run app.py
5. Use the app
- Enter your Groq API Key in the sidebar.
- Type a research topic (e.g., "The Future of AI Agents in Business Automation").
- Click 🚀 Run AI Crew and wait for the agents to complete their work.
- Read the generated professional report directly in the browser.
📦 Dependencies
| Package | Purpose |
|---|---|
| crewai | Multi-agent orchestration framework |
| crewai-tools | Base tool classes for CrewAI agents |
| langchain-groq | Groq LLM integration via LangChain |
| streamlit | Web UI framework |
| ddgs | DuckDuckGo search library |
| setuptools | Build utilities |
📁 Project Structure
day7/
├── app.py # Main application (agents, tasks, UI)
├── requirements.txt # Python dependencies
├── README.md # This file
├── LICENSE # MIT License
└── .gitignore # Git ignore rules
🤝 Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
📄 License
This project is licensed under the MIT License — see the LICENSE file for details.
Day 7 of the 30 Day Challenge 🔥
Contract & API
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
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-nihadidriszade1-day7-agentic-ai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-ai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-ai/trust"
Reliability & Benchmarks
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
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.
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-nihadidriszade1-day7-agentic-ai/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-ai/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-ai/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-ai/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-ai/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-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": "2026-10-10T07:41:30.488Z"
}
},
"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": "Nihadidriszade1",
"href": "https://github.com/nihadidriszade1/Day7_Agentic_AI",
"sourceUrl": "https://github.com/nihadidriszade1/Day7_Agentic_AI",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T22:15:02.686Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-ai/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-ai/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T22:15:02.686Z",
"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-nihadidriszade1-day7-agentic-ai/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-nihadidriszade1-day7-agentic-ai/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
}
]