agenticai

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

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

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.

VLA/WAM/RLFT/RLHF/FoundationModels/DailyLLM/AgenticToolkit

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

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

Brain Tumor Detection and Segmentation model with Agentic Reasoning

An intelligent stock analysis platform combining multi-agent AI systems with real-time market data

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

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.

Structured learning notebooks and examples for building stateful, multi-step agentic workflows with LangGraph. Covers nodes, edges, state management, and conditional routing.

A modular multi-agent AI playground where research, analysis, and writing agents collaborate like a tiny digital startup. Swap LLMs, engines, and vector DBs like Lego blocks while FastAPI orchestrates the chaos. Built for experimentation, learning, and serious AI tinkering.

A repo to store my implementations and experiments on Generative and Agentic AI solutions

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.

Model Context Protocol server for Anbani

An Agentic AI Orchestrator for Software-Defined Vehicles (SDVs) that fuses physiological data and environmental context to deliver safe, explainable, and proactive driver interventions.

Finanical Analysis Agent Using PhiData

Multiagent backend for support and dashboard analytics

Open-source Personal Context Agent for AI applications. Store, retrieve and manage long-term user context across conversations.