minima logo
minima
★ 1.1k
vs
Mnemolis logo
Mnemolis
★ 20

minima vs Mnemolis

minima: Minima is an open-source, on-premises RAG (Retrieval Augmented Generation) solution designed to query local documents securely. It offers flexible deployment options, including fully local operation with Ollama, integration with custom OpenAI-compatible LLMs, and connectivity with popular AI assistants like ChatGPT and Anthropic Claude.; Mnemolis: Mnemolis is a unified local knowledge search API designed for self-hosted homelabs, routing queries to various internal backends like offline knowledge bases, weather forecasts, RSS feeds, and smart home states via a single endpoint. It offers both REST and MCP APIs, enabling natural language queries across diverse data sources entirely within your private infrastructure without sending data to third parties.

01

TL;DR

minima logo
minimaRAG / Knowledge Base · ★ 1.1k

Building secure, fully on-premises RAG systems using local LLMs like Ollama.

Mnemolis logo
MnemolisRAG / Knowledge Base · ★ 20

Querying your self-hosted Wikipedia (Kiwix) with natural language.

02

Side-by-Side Comparison

Field
minima logominima
Mnemolis logoMnemolis
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 1.1k
★ 20
License
MPL-2.0
MIT
Install Command
./run.sh
git clone https://github.com/immortalbob/Mnemolis && cd Mnemolis && docker network create mnemo-net && cp docker-compose.example.yml docker-compose.yml && docker compose up -d
Updated
9mo ago
1w ago
Open Source
Yes
Yes
Tags
RAG, On-premises, LLM
Local Knowledge Base, API Gateway, Docker
03

Features

minima logominima
01Open-source RAG solution for on-premises container deployment.
02Supports fully local operation with Ollama, ensuring data privacy and security.
03Integrates with custom LLMs via OpenAI-compatible APIs (e.g., vLLM, TGI).
04Enables querying local documents using ChatGPT or Anthropic Claude applications.
05Indexes various document types including PDF, DOCX, TXT, MD, and CSV.
Mnemolis logoMnemolis
01Unified API for various local knowledge sources (Kiwix, RSS, Weather, Home Assistant, Uptime Kuma, SearXNG).
02LLM-assisted intelligent routing, source selection, and query expansion.
03Multi-source concurrent query fusion and result merging.
04Snapshot engine to detect and report changes across services (outages, weather shifts, new headlines).
05Local-first and privacy-preserving design, with all major backends self-hosted.
04

Use Cases

minima logominima
↳Building secure, fully on-premises RAG systems using local LLMs like Ollama.
↳Integrating proprietary or self-hosted LLMs into a RAG workflow via OpenAI-compatible APIs.
↳Enhancing ChatGPT or Anthropic Claude with the ability to query and retrieve information from personal or organizational local documents.
Mnemolis logoMnemolis
↳Querying your self-hosted Wikipedia (Kiwix) with natural language.
↳Getting a combined summary of homelab service status and local weather conditions.
↳Asking about recent news from your private RSS feeds or current Home Assistant entity states.
↳Integrating with LLM clients like Claude Desktop or Open WebUI for enhanced conversational AI in a homelab.
↳Detecting and querying significant changes in your homelab environment, like service outages or temperature shifts.
FAQ

FAQ

What is the difference between minima and Mnemolis?
Both minima and Mnemolis are in the RAG / Knowledge Base category. minima has 1.1k stars, while Mnemolis has 20 stars.
Which is better, minima or Mnemolis?
The best choice depends on your use case. Choose minima if Building secure, fully on-premises RAG systems using local LLMs like Ollama., and Mnemolis if Querying your self-hosted Wikipedia (Kiwix) with natural language..
Is minima free or open source?
Yes, minima is open source on GitHub (MPL-2.0).
Is Mnemolis free or open source?
Yes, Mnemolis is open source on GitHub (MIT).
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