Local RAG researcher agent built using Langgraph, DeepSeek R1 and Ollama

DocMind AI is a powerful, open-source Streamlit application leveraging LlamaIndex, LangGraph, and local Large Language Models (LLMs) via Ollama, LMStudio, llama.cpp, or vLLM for advanced document analysis. Analyze, summarize, and extract insights from a wide array of file formats, securely and privately, all offline.

Fenix Ai Trading Bot with LangGraph and ollama and multipe providers

Gen AI, Langchain v1 AI Agents, MCP, MySQL AI Agent, DeepSeek, GPT-OSS Qwen3 LLAMA Agent, Lang Graph, Ollama, KGPTalkie

RAG system to query your Obsidian notes using LangGraph and local LLMs (Ollama)

Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications.

A LangGraph-based research assistant that helps find, analyze, and summarize scientific papers. Built with Mistral LLM (via Ollama) and Flask, this agent can search papers through CORE API, process PDFs, and provide structured research summaries.

Build MCP servers & clients with Python, Streamlit, ChromaDB, LangChain, LangGraph agents, and Ollama integrations

Speak to your drone! EchoPilot is a voice-controlled agent that leverages Ollama for local LLM power, generating complex PX4 missions via LangGraph. Commands are executed seamlessly using MAVSDK and the Model Context Protocol (MCP).

RAG application using Ollama, ChromaDB and tool calling with LangGraph.

Offline Text-to-SQL Agent – Convert natural language questions into SQL queries with explanations. Fully open-source, runs locally, and features a Streamlit UI, multi-table support, and configurable SQLite databases. Built with LangChain, LangGraph, Ollama (CodeGemma 7B).

Learn and Build Local AI Agents with Langchain, Langgraph and Ollama

This repository provides a comprehensive framework for developing a lead generation startup powered by AI agents (LangGraph, Ollama, Llama3.1). It includes modules for data acquisition, processing, and intelligent decision-making to enhance lead qualification and conversion.

Template for Retreival-Augmented Generation (RAG) application using Milvus for vector storage, LangGraph for ReAct agentic workflows, and Streamlit for a front end. Runs locally on Ollama with a pipeline to ingest markdown documentation.

A production-style AI customer support assistant for eCommerce platforms. Built with LangChain + LangGraph, powered by a local Ollama LLM, enhanced with RAG for shipping, return, and FAQ policies, and deployed using Streamlit.

Revolutionize linguistic interactions and facilitate seamless communication by leveraging cutting-edge technologies: Langgraph, Langchain, Ollama, and DuckDuckGo.

zkzkAgent is a powerful, privacy-focused local AI assistant designed to act as your intelligent system manager on Linux. Built on LangGraph and Ollama, it automates complex workflows, manages system processes, handles network tasks, and provides voice interaction capabilities—all while keeping your data on your machine.

A simple starting point for building AI agents with Python, featuring LangChain/LangGraph workflows, Ollama for local models, and Chainlit for the UI.

Generate production-ready multi-agent AI projects from plain English. Supports CrewAI, LangGraph, WatsonX Orchestrate, CrewAI Flow, and ReAct with built-in sandbox verification, OllaBridge/Ollama inference, and enterprise wizard UI.

🔍 Fully local deep web research assistant powered by Ollama LLMs. Conducts iterative research cycles with intelligent query generation, web search, and comprehensive summarization using LangGraph.

This project demonstrates how to build a multi-agent time series forecasting system using LangGraph, a graph-based orchestration framework, and local LLMs via Ollama. The system compares traditional forecasting (via Prophet) with LLM-based predictions, evaluates performance, and explains the results using an LLM.

Private AI RAG Graph with Gemma, Ollama and LangGraph

LLM Device Control with LangChain, LangGraph, LangServe, and Ollama using MQTT

A sophisticated red-teaming agent built with LangGraph and Ollama to probe OpenAI's GPT-OSS-20B model for vulnerabilities and harmful behaviors. (Specifically built for the OpenAI Open Model Hackathon)

This project integrates LangChain, LangGraph, Ollama, Next.js, MongoDB, and Llama3 to build a sophisticated AI application. It leverages the strengths of each technology to provide an efficient, scalable, and interactive platform for AI-driven solutions.

A local Neuro-Symbolic RAG agent inspired by Apple's CLaRa. Built with the "2026 Stack" (DSPy, LangGraph, Ollama), it features Hybrid Memory (Vector + Knowledge Graph), HyDE retrieval, and self-correcting web search fallback.

Langchain-langgraph-langsmith for RAG-agents with ollama and pinecone

A complete Agentic RAG system using LangGraph, a Knowledge Graph, multi-hop retrieval, and local LLMs (Ollama). Includes ingestion, graph builder, custom retriever, tools, and full CLI agent workflow.

Advanced local-first RAG system powered by Ollama and LangGraph. Optimized for high-performance sLLM orchestration featuring adaptive intent routing, semantic chunking, intelligent hybrid search (FAISS + BM25), and real-time thought streaming. Includes integrated PDF analysis and secure vector caching.

This project contains the code and documentation for an autonomous AI agent that classifies, enriches, and scores inbound business leads. It is built with a FastAPI backend, a LangGraph agent workflow powered by a local Ollama LLM, and a Streamlit frontend for demonstration.