AgentStack is a production-grade multi-agent framework built on Mastra, delivering 50+ enterprise tools, 25+ specialized agents, and A2A/MCP orchestration for scalable AI systems. Focuses on financial intelligence, RAG pipelines, observability, and secure governance. ACP Openclaw, Gemini CLI, Opencode

Secure Retrieval-Augmented Generation (RAG) with role-based access control using Mastra AI orchestration, with JWT Secure, also Deep Research built with Cedar & Next.js. Gemini, OpenAI, Openrouter, & Gemini CLI usable. Also exposes tools, agents as MCP Server Also A2A Agent Cards

Atlas AI Platform – an enterprise-grade, multi-tenant Agentic RAG (Retrieval-Augmented Generation) infrastructure. The platform enables SaaS companies to provide secure, intelligent, and scalable AI-powered knowledge access to their customers.

SomaBrain is a production-ready cognitive memory and RAG platform for AI agents. Features: multi-tenant memory, advanced math, secure FastAPI, full test coverage, and modular RAG pipeline. Real math, real memory, real docs.

Hands‑on AI Agent Security Evaluation — Explore and simulate 15 advanced LLM attack techniques (prompt injection, RAG poisoning, multi‑agent compromise, etc.) with interactive Jupyter tutorials. Includes adversarial testing methods, vulnerability analysis, and defense strategies for building secure AI systems.

AgentLoom is an AI workflow orchestration platform that weaves multiple role-based agents—planner, analyst, reviewer, summarizer—into multi-step workflows. It provides secure tool execution, document ingestion and RAG, human approval checkpoints, and full traceability so you run controlled, auditable automation instead of ad‑hoc chatbots.

🤖 Advanced Multi-AI Agent Swarm built with LangGraph & LangChain, powered by Groq API (Llama-3,llama-3.3-70b-versatile) and Tavily API for real-time web search & RAG. Full-stack architecture using FastAPI & Streamlit with secure LLMOps/AIOps CI/CD via Docker, Jenkins, SonarQube, and cloud-native deployment on AWS ECS Fargate.

a HIPAA-compliant, enterprise-grade healthcare support system powered by Multi-Agent RAG architecture, blockchain audit logging, and secure cloud infrastructure.

An intelligent RAG+AGENT knowledge base system supporting multi-modal data, secure permissions, and advanced retrieval.

Authorization-first RAG demo showing secure, role-aware retrieval and leakage prevention in multi-agent systems.

InsightLoop is a production-grade AI-powered Feedback Intelligence platform that transforms unstructured customer feedback into actionable insights using FastAPI, LangGraph, RAG, and multi-agent AI workflows. Built as a scalable, secure multi-tenant SaaS system.

Built an autonomous multi-agent research system using CrewAI & Streamlit. Features multi-modal RAG (Text+Vision), live web search, & hybrid LLMs. Optimized chart analysis with custom vision pipelines and secure data isolation to generate professional enterprise reports from proprietary PDFs.

AIAgentSphere is a low-code AI agent builder that empowers developers and teams to create intelligent voice/text assistants. With support for large language models (LLMs), RAG, Python tools, and secure API integration, AIAgentSphere lets you build, train, and deploy multi-modal agents—fast.

Multi-Doc Pro: Secure, history-aware RAG application for private documents. Built with LangChain, Groq, and ChromaDB. Delivers instant, grounded answers while ensuring your sensitive data never leaves your system. The blueprint for production-grade, enterprise AI agents.

A high-performance, resilient, and secure Retrieval-Augmented Generation (RAG) system built with FastAPI and React. This platform integrates advanced agentic reasoning, hybrid retrieval, cross-encoder reranking, and a multi-layered security architecture to deliver industrial-strength AI capabilities.

An AI-powered document analysis platform that uses multi-agent orchestration, RAG (Retrieval Augmented Generation), and OpenAI models to extract summaries, action items, risks, and dependencies from long documents. Built with FastAPI and Streamlit, and deployed on cloud infrastructure with secure environment-based configuration.

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Secure Multi-Tenant Agentic RAG system on AWS

Secure, Modular Multi-Agent LLM System with Neuro-Symbolic Reasoning, Federated Learning, AutoOps & Graph-RAG

Agentic Crew — an autonomous multi-agent RAG system with separate vector stores per knowledge domain for scalable, secure retrieval.

Notes, research gaps, and insights from the 2025 Agentic AI Conference & Workshops — focused on memory, cognition, multi-agent workflows, and secure RAG systems.

A compliance-aware AI chatbot using RAG and multi-agent orchestration to enable secure, policy-driven access to de-identified patient data.

A secure, offline-first Multi-Agent RAG system engineered with LangChain and Llama 3 to eliminate hallucinations and enforce strict compliance verification.

Production-grade multi-agent AI orchestration with local Llama.cpp inference, OpenAI-compatible API, RAG over pgvector, and observable/secure backend patterns.

A policy-aware hybrid RAG agent for secure question answering over code repositories and documentation, with BM25/FAISS retrieval, MCP-style tool routing, and multi-model evaluation.

Lightweight toolkit providing SOP templates, RAG examples, task scripts, and report generation samples for OpenClaw, Claude, and Gemini. Secure, easy to use, suitable for multi-agent collaboration and testing.

AI backend built with FastAPI for business chat agents. Includes Redis memory, RAG, OCR, website ingestion, and multi-tenant isolation. Designed for OpenAI integration with secure env-based config.

Multi-tenant AI agent platform with secure authentication and RAG. Users can create personalized knowledge bases, chat with LLMs, and engineer autonomous agents. Features role-based access control (user/developer/admin), document upload, vector search, and agent orchestration in isolated workspaces.

AI-DRIVEN-INFRA-AUTOMATION-PLATFORM is a secure, multi-environment AI platform with controlled agent execution, governed RAG access, Bedrock integration, guardrails, audit logging, and automated infrastructure provisioning using Terraform