https://github.com/mohammadreza-mohammadi94/agenticai
A modular repository for experimenting with LangChain, LLM-powered Agents, and Autonomous AI Workflows. It contains practical implementations, mini-projects, and research-based prototypes.
https://github.com/mohammadreza-mohammadi94/agenticai
ai ai-agents crewai gemini groq langchain langchain-python langsmith machine-learning mcp-server openai-sdk python3
Last synced: 3 months ago
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A modular repository for experimenting with LangChain, LLM-powered Agents, and Autonomous AI Workflows. It contains practical implementations, mini-projects, and research-based prototypes.
- Host: GitHub
- URL: https://github.com/mohammadreza-mohammadi94/agenticai
- Owner: mohammadreza-mohammadi94
- License: mit
- Created: 2025-04-14T11:15:08.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-07-24T07:35:23.000Z (3 months ago)
- Last Synced: 2025-07-24T11:28:24.683Z (3 months ago)
- Topics: ai, ai-agents, crewai, gemini, groq, langchain, langchain-python, langsmith, machine-learning, mcp-server, openai-sdk, python3
- Language: Python
- Homepage:
- Size: 1.03 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ๐ AgenticAI
A comprehensive multi-agent AI framework featuring specialized agents with guardrails, built for real-world automation tasks (e.g., resume analysis, sales outreach, word counting).
---
## โ๏ธ Architecture Highlights
* **Agentic Orchestration**: Manager agents direct specialist agents as tools, enabling clear multi-step workflows.
* **Guardrails**: Input validation layers that prevent privacy violations and unsafe inputs.
* **Multi-LLM Integration**: Easily plug in different providers for redundancy and performance optimization.
* **Modular & Extendable**: Projects share reusable agent-building patterns, guardrail designs, and runner logic using `openai-agents`.---
## ๐ ๏ธ Getting Started
```bash
git clone https://github.com/mohammadreza-mohammadi94/AgenticAI.git
cd AgenticAI/
pip install -r requirements.txt
# Add `.env` file with keys: OPENAI_API_KEY, SENDGRID_API_KEY, etc.
python .py
```---
## ๐ Why AgenticAI?
* Achieve **safe, multi-stage automation** with minimal code.
* Design **flexible agent workflows**, combining GPT-powered toolkits with domain guardrails.
* Deploy production-grade AI pipelines across HR, sales, analytics, and more.---
## ๐ Next Steps
* Add real email sending via SendGrid or SMTP
* Deploy as APIs or conversational bots
* Integrate custom datasets and retrieval agents
* Improve guardrails for broader compliance enforcement---
**AgenticAI** equips you to build safe, modular, and powerful AI workflowsโno need to reinvent orchestration or alignment logic. Enjoy experimenting!