Skip to content

Minima

On-premises conversational RAG with configurable containers

Install

$git clone https://github.com/Minima-AI-Inc/minima

Install command taken from the project's README or registry entry. Always review code before running it.

Minima is an open source RAG on-premises containers, with ability to integrate with ChatGPT and MCP. Minima can also be used as a fully local RAG or with your own deployed LLM.

Minima currently supports four modes:

  1. Isolated installation (Ollama) – Operate fully on-premises with containers, free from external dependencies such as ChatGPT or Claude. All neural networks (LLM, reranker, embedding) run on your cloud or PC, ensuring your data remains secure.

  2. Custom LLM (OpenAI-compatible API) – Use your own deployed LLM with OpenAI-compatible API (vLLM, Ollama server, TGI, etc.). The indexer runs locally while the LLM can be on your server, cloud, or local machine. No Ollama deployment needed, lighter resource usage, and full control over your LLM infrastructure.

  3. Custom GPT – Query your local documents using ChatGPT app or web with custom GPTs. The indexer runs on your cloud or local PC, while the primary LLM remains ChatGPT.

  4. Anthropic Claude – Use Anthropic Claude app to query your local documents. The indexer operates on your local PC, while Anthropic Claude serves as the primary LLM.


Running as Containers

Quick Start with run.sh

The easiest way to start Minima is using the run.sh script:

./run.sh

You'll see the following options:

Select an option:
1) Fully Local Setup (Ollama)
2) Custom LLM (OpenAI-compatible API)
3) ChatGPT Integration
4) MCP usage
5) Quit

Manual Docker Compose Commands

  1. Create a .env file in the project's root directory (where you'll find .env.sample). Place .env in the same folder and copy all environment variables from .env.sample to .env.

  2. Ensure your .env file includes the following variables:

  1. For fully local installation use: docker compose -f docker-compose-ollama.yml --env-file .env up --build.

  2. For custom LLM deployment (OpenAI-compatible API) use: docker compose -f docker-compose-custom-llm.yml --env-file .env up --build.

  3. For ChatGPT enabled installation use: docker compose -f docker-compose-chatgpt.yml --env-file .env up --build.

  4. For MCP integration (Anthropic Desktop app usage): docker compose -f docker-compose-mcp.yml --env-file .env up --build.

  5. In case of ChatGPT enabled installation copy OTP from terminal where you launched docker and use Minima GPT

  6. If you use Anthropic Claude, just add folliwing to /Library/Application\ Support/Claude/claude_desktop_config.json

{
    "mcpServers": {
      "minima": {
        "command": "uv",
        "args": [
          "--directory",
          "/path_to_cloned_minima_project/mcp-server",
          "run",
          "minima"
        ]
      }
    }
  }
  1. To use fully local installation go to cd electron, then run npm install and npm start which will launch Minima electron app.

Similar plugs

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype…

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io