Mnemos FAQs

Question 1

How does Mnemos help organize knowledge for different projects?

Accepted Answer

It features 'Multi-context Collections,' allowing you to isolate knowledge by project (e.g., `react-docs`, `company-internal`). This prevents context pollution and ensures searches are highly relevant to the specific project.

Question 2

How does Mnemos ensure my data privacy?

Accepted Answer

Mnemos is 100% private and operates fully offline, making zero external calls. All document processing, vector generation, and search operations happen exclusively on your local machine.

Question 3

What is Mnemos?

Accepted Answer

Mnemos is a self-hosted, private knowledge server designed for developers. It transforms your diverse documentation into a searchable, multi-context memory system using local vector search and Ollama.

Question 4

What are the main technical requirements to run Mnemos?

Accepted Answer

To run Mnemos, you'll need Docker & Docker Compose, Python 3.11+, and Ollama installed for local embedding models (e.g., `nomic-embed-text`).

Question 5

What kind of documentation can Mnemos ingest?

Accepted Answer

Mnemos can ingest local documents (e.g., PDFs, Markdown files), entire directories, and recursively crawl documentation sites from URLs, with options for path-based filtering.

Mnemos

Mnemos

主な機能

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主な機能

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