End-to-end documentation to set up your own local & fully private LLM server on Debian. Equipped with chat, web search, RAG, model management, MCP servers, image generation, and TTS.

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.

An extensible Model Context Protocol (MCP-Local-MRL-RAG-AST) server that provides intelligent semantic code search for AI assistants. Built with local AI models, inspired by Cursor's semantic search.

All-in-one terminal workspace — local shells, SSH, SFTP, remote IDE, AI agent, and file manager in a single native binary. Built with Tauri 2 and pure Rust SSH (no OpenSSL). Smart reconnect, MCP, RAG, plugins, 30+ themes, 11 languages.

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.

Local RAG System for Claude Code — Hybrid search + Cross-encoder Reranking + Markdown-aware Chunking + 12 MCP Tools. No external servers, pure ONNX in-process.

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One stop shop - Local-first RAG stack with intelligent polyglot-code/docs, remote code execution, local llama enrichment, progressive disclosure tools, mcp server, sandboxed security.

Privacy-first semantic code navigation MCP server using RAG. Features deep AST multi-language support (Go, PHP/Laravel/WP, JS/TS/React, Python), 100% local LLMs (Ollama), and vector search (Qdrant) for AI IDEs like Cursor, Windsurf, Copilot, and Claude.

Local-first RAG desktop app & official MCP Server. Let any AI instantly search your private Markdown, PDF, and 1290+ document formats. (本地优先的 RAG 桌面端与官方 MCP 服务器。让任意 AI 瞬间检索你的私有 Markdown、PDF 及 1290+ 种文档格式。)

🦀 High-performance local RAG server in Rust that integrates with Claude Desktop via MCP. Search PDF documents privately using Ollama embeddings - no external API calls.

This repository demonstrates how to use AutoGen to integrate local and remote MCP (Model Context Protocol) servers. It showcases a local math tool (math_server.py) using Stdio and a remote Apify tool (RAG Web Browser Actor) via SSE for tasks like arithmetic and web browsing.

All-in-one local AI hub for Obsidian — LLM chat with vault tools, MCP servers, RAG, workflow automation, encryption, and edit history. Fully private, no cloud required.

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Local Codebase RAG MCP Server for Claude Code - Proactive semantic indexing with AST-based chunking

An upgraded llama.cpp GUI (https://github.com/ggml-org) local-first cloud model llama.cpp GUI multi agent command center with RAG, MCP tools, browser automation, voice, and multi-provider orchestration. Demo Here https://llamahub.netlify.app/

A PDF document RAG MCP that is easy to setup, supports completely local parsing and embedding, hybrid search, and semantic chunking. Also features an optional web interface.

Yorishiro: Extract character souls from films/novels, generate SOUL.md for AI roleplay. Dual-layer memory (SOUL.md + RAG), knowledge boundary filtering, split-persona support, MCP-ready. Works with cloud or local models.

Intelligent context management for AI coding assistants. Indexes your codebase with tree-sitter, builds a semantic knowledge graph, and serves 12 tools over MCP. Hybrid RAG combines keyword search, vector embeddings, and graph traversal for precise retrieval. Works with Claude Desktop, Cursor, and any MCP client. Fully local with Ollama.

CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector) with OpenSearch. Features MCP server, Slack bot, Web UI, multi-source ingestion (local/S3/GitHub), and multi-provider embeddings (Bedrock/Gemini).

This is a multi-agent processing system with long-term and short-term memory+mcp+local tools+Agentic Rag. It uses the LLM locally deployed by ollma and PostgreSQL to store user's data, and the back-end uses grpc,gorm and gin to coordinate the output of the agent.

🏭 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.

Local Unity docs RAG + MCP server for coding agents, with versioned offline citations.

A semantic search and retrieval system for local documents using vector embeddings. Powered by MCP (Model Context Protocol).

🗂 ToolFS: A FUSE virtual filesystem for AI Agents, integrating memory, RAG & local data access with flexible MCP/tool chaining and a scalable plugin system

All-in-one AI chat studio — 7 providers (Ollama, Claude, OpenAI, vLLM, Claude Code, Codex, Gemini CLI), RAG knowledge base, MCP tool integration, Mem0 shared memory, and 3-step pipeline. 100% local-capable. MIT licensed.

A simple local RAG with sqlite and ollama. All data is kept local, MCP exposes it for further use.

🧬 RAGIX: Local-first development assistant making LLMs behave like disciplined engineers – Unix-RAG retrieval, sandboxed execution, MCP-compatible, fully auditable

FastMCP client agent with PostgreSQL and RAG MCP servers in dual mode: API/HTTP or local/stdio