Self-hosted Obsidian-style second brain your agents read through MCP.
Archivum is a self-hosted, server-hosted Obsidian-style second brain. It runs a
private Markdown wiki in your browser, stores notes as local files, and exposes
the same knowledge base to AI agents through MCP.Drop in a PDF or paste a URL and Archivum turns it into a searchable wiki page
with source metadata, linked to what you already have.
Install
Guided installer, Docker Compose, configuration, and MCP setup.
The loop
Where Archivum sits relative to Archductor and Archfleet.
Repos carry code. They do not carry the reasoning: why a decision went the way it
did, which approach already failed, what a customer actually asked for.Archivum is where that lives, and the MCP server is what makes it reachable. Your
agent reads the same notes you do, so you stop pasting the same background into
every session.
Set LLM_EXTRACTION_PROVIDER and EMBED_PROVIDER to ollama to run extraction
and embeddings against a fully local model. Nothing leaves the machine at all.
Docker Compose brings up the web app, the backend and its ingest pipeline, the
MCP server over stdio and HTTP/SSE, and Caddy in front. Storage is SQLite for
structured data, Kuzu for the knowledge graph, and Qdrant for vectors — all in
local Docker volumes. Ollama is available in the same stack when you want the
models local too.
Archivum is the human knowledge layer. It is not the agent execution surface — that
is Archductor — and it is not the verification layer, which
is Archfleet.
⌘I
Assistant
Responses are generated using AI and may contain mistakes.