Minima-AI-Inc/minima

Health v2 · maintenance only

Flags: prerelease_only

Adoption not part of the score

1046 stars · 107 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Minima is an open-source, on-premises conversational RAG system deployed via Docker containers. It supports fully local operation with Ollama, custom OpenAI-compatible LLMs, ChatGPT custom GPTs, and Anthropic Claude via MCP integration.

Use cases

• run a fully local RAG chatbot over my own documents
• query local PDFs and files with ChatGPT custom GPTs
• use Claude desktop to search my local knowledge base
• self-host a private document Q&A without sending data to the cloud
• connect a local document indexer to an LLM via MCP
• deploy RAG with my own vLLM or Ollama server

When to choose

• you need on-premises or fully local RAG for privacy or compliance
• you want to query personal or company documents from ChatGPT or Claude
• you prefer containerized deployment with configurable LLM backends

When to avoid

• you need a managed cloud RAG service with zero setup
• you lack the hardware to run local embedding, reranker, and LLM models
• you need a polished multi-user production knowledge platform rather than a self-hosted setup

Facets

application · maturity active

rag llm-inference search-engine chatbot mcp self-hosted large-language-models artificial-intelligence self-hosted privacy self-hosted python cross-platform on-premises ollama qdrant langchain custom-gpt claude document-indexing docker-compose retrieval-augmented-generation docker

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markdown · JSON · MCP: product_card(name="Minima-AI-Inc/minima")