Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

A fully custom chatbot built with Agentic RAG (Retrieval-Augmented Generation), combining Gemini models with a local knowledge base for accurate, context-aware, and explainable responses. Features a lightweight, dependency-free frontend and a streamlined FastAPI backend for complete control and simplicity.

Code for "TrustRAG: Enhancing Robustness and Trustworthiness in RAG" AAAI 2026 Workshop on Trust and Control in Agentic AI (TrustAgent)

An autonomous multi-agent orchestration system for Home Assistant. Features local LLM control (Ollama/DeepSeek), & RAG-powered technical knowledge,

Comprehensive AI Model Evaluation Framework with advanced techniques including Temperature-Controlled Verdict Aggregation via Generalized Power Mean. Support for multiple LLM providers and 15+ evaluation metrics for RAG systems and AI agents.

An AI agent that controls your Flipper Zero that uses PyFlipper, LightLLM, RAG, and can connect to your local Ollama instance!

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

Threat modeling playbook for cloud-native, AI (RAG, agents), and A2A systems with STRIDE, risk models, controls, and test plans.

Comprehensive AI Evaluation Framework with advanced techniques including Temperature-Controlled Verdict Aggregation via Generalized Power Mean. Support for multiple LLM providers and 15+ evaluation metrics for RAG systems and AI agents.

A lightweight AI chat system powered by Doubao API, featuring RAG pipeline, SSE streaming, Agent tool-calling, and multi-session context control.

Agentic RAG pipeline where autonomous agents collaborate for document-grounded responses.Using CrewAI, the agents operate in a structured, multi-step workflow to ensure accurate and controlled outputs. 🚀

🏭 AI agents at the edge: Build for offline, scale in cloud. Strands Agents SDK demos with IoT control, RAG, MCP database, and local/cloud model switching.

FriendlyClaw 🦀 — Pro-Grade Autonomous Hive Operative. Multi-agent delegation, semantic RAG memory, and proactive system control.

Offline hybrid reranker node for n8n — combines semantic similarity, BM25, exact keyword matching, and recency weighting. Designed for local-first RAG, edge agents, and offline AI pipelines (Ollama / WebLLM / Supabase). The first truly local reranker for n8n — no APIs, no latency, full control.

Multi-agent AI chatbot with dynamic configuration using LangGraph workflows, RAG search, MCP tools, and LaunchDarkly AI Configs. Control AI behavior, swap models (Claude/GPT/Mistral), enable research tools, and run A/B experiments without code deploys.

A production-grade AI Agent that intelligently answers user queries by combining a private knowledge base (RAG) with real-time web search, powered by LangGraph orchestration. The system emphasizes transparency, control, and modular design, making it easy to understand, debug, and extend.

🚀 AgentHub is a local, voice-controlled multi-agent RAG system built with LangChain, FAISS, TinyLlama (GGUF), and Streamlit. It runs fully offline with voice input/output, PDF-based retrieval, and auto-reporting — no GPT, no API, just pure open-source GenAI on CPU!

Offline-first, multimodal AI agent for Windows 11 + WSL2 — integrates voice, vision, OCR, RAG search, and terminal control into one secure local brain. Powered by Ollama (Qwen 7B), Whisper, Piper TTS, and FAISS, it lets your PC listen, see, read, and act — all privately, offline, and auditable.

The first of a kind "AGENT AS A BACKEND" : Advanced AI/ML Agent Framework with TypeScript support, multi-model capabilities, vision controls, and comprehensive AI/ML model support including LLM, SLM, MLM, Vision, ASR, TTS, RL, GNN, RNN, CNN, GAN, Diffusion, Transformer, MLP, Autoencoder, BERT, RAG, Hybrid, Foundation, and fine-tuning

Terminal-first control plane for NVIDIA Nemotron — agentic coding, RAG, doc-ops, and multi-model formations.

Mission Control AI is an **Agentic Retrieval-Augmented Generation (RAG)** system designed for **mission-critical decision support**.

SentraBrain is a private modular AI system designed for professional environments requirin- on-premise deployment, data privacy and local control and modular agents and customizable RAG integration.

True-Notion-AI is an open-source AI framework built on Agentic RAG, Crew AI, and Langchains. It is designed to connect, customize, and control intelligent workflows by seamlessly integrating with Notion databases in real-time, allowing integration of RAG in daily life. .

Self-hosted open-source platform for AI-powered survey interviews. Voice-to-voice and text chat agents with semi-structured interview guides, multi-provider LLM support (OpenAI, Gemini, Scaleway), RAG knowledge base, and Twilio telephony. Built for qualitative researchers. Docker, one command, full control.

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.

Production-grade LLM decision-support agent for SaaS vendor renewals (RAG + tools + guardrails + observability + cost controls).

Control-plane runtime for orchestrating LLM agents with safe tool execution, policy enforcement, and modular RAG integration.

Enterprise memory-augmented task agent with RAG, context management, controlled tool execution, Milvus retrieval, and Feishu collaboration workflows.

An intelligent legal assistant system that uses Agentic RAG with dedicated agents for controlled retrieval and responses to answer questions about the Indian Constitution.