An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

SuperClaw: Red-Team AI Agents Before They Red-Team You

The UI5 MCP server improves the developer experience when working with agentic AI and the UI5 framework.

Blog Write multi agent AI is a custom multi-agent system designed to autonomously create high-quality, research-driven blogs. Using LangChain, Gemini 2.0-Flash-EXP, and Serper Web Search Tool, it automates planning, writing, and editing to deliver human-like blogs with up-to-date references.

AI Agent-powered web browser: Agentic AI inside the browser.

Blue is an open-source framework for building enterprise-ready agentic workflows through compound AI system architecture. Blue uses streams for orchestration, structured communication for control, and seamless integration with existing infrastructure.

AI-powered lead generation tool that transforms user queries into targeted Quora lead searches. Leverages Groq AI and Firecrawl to extract user interactions, helping businesses discover potential leads through intelligent query processing and web scraping.

AI code reviewer with context-aware feedback and line-by-line suggestions in real-time. Improve your team's development speed and quality.

Resources and references on solved and unsolved problems in agentic AI.

Bu depo; Microsoft AutoGen ile yaptığım/deneysel çalışmalar, entegrasyon denemeleri ve çoklu LLM sağlayıcı karşılaştırmalı örneklerini içeren bir çalışma alanıdır.

LangGraph RAG pipeline using DeepSeek‑V2 (67B) via Hugging Face Transformers.

The UI5 Web Components MCP Server improves the developer experience when working with agentic AI and the UI5 Web Components framework.

An attempt to integrate kagent with LLMLite and Ollama

Deploy to Vercel - Python Client for AWS Textract | OCR SaaS with Development Roadmap

A curated list of resources about Agentic AI: papers, frameworks, tools, use cases, and legal considerations

X-n8 (Exnate) is an Agentic SOC Playbook collection bridging n8n’s AI agility with Palo Alto XSOAR’s orchestration. Covering 250+ use cases from Cloud to IAM it uses AI Agents for dynamic SIEM alert analysis and automated remediation. Aligning with MITRE ATT&CK, X-n8 transforms manual workflows into a scalable, autonomous defense ecosystem.

🛒 Build a leading-edge e-commerce recommendation system using RAG architecture, Groq Llama 3, LangChain, and AstraDB, deployed on Kubernetes for scalability.

Multi-AI agent framework with MCP for automating Notion workflows using LangGraph. Built for extensibility, reliability, and intelligent orchestration via specialized agents and a central supervisor, featuring robust API handling and modular design for dynamic task execution.

An MCP server for AI agents to interact with https://alexjef.net and https://t.me/alexjefBot VPN network

Production-grade E-commerce Recommendation System using Agentic AI and GenAI RAG with Groq LLaMA-3, LangChain, HuggingFace embeddings, and AstraDB vector search. Built with Flask/Streamlit, Full LLMOps /AIOps CI/CD pipeline containerized via Docker, orchestrated on Kubernetes (Minikube), deployed on GCP, and monitored using Prometheus & Grafana.