You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
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.
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.
Bu depo; Microsoft AutoGen ile yaptığım/deneysel çalışmalar, entegrasyon denemeleri ve çoklu LLM sağlayıcı karşılaştırmalı örneklerini içeren bir çalışma alanıdır.
Agent‑ready MCP server for precise, cross‑model file edits. Improves context management and developer flow by auto‑running Ruff/ Black/MyPy after Python edits, all within a secure allowed‑dir sandbox
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.
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.