The personal context layer for everything you learn. Drop in any files and stoa builds a maintained, cited wiki + knowledge graph — private by design, yours to share with people and agents you trust.
The personal context layer for everything you learn.
Private by design and local-first: drop in anything, and stoa builds an ever-evolving wiki + knowledge graph you own.
Under the hood it's a real knowledge graph: stoa pulls the entities, relationships, and cited claims out of your documents and reconciles them into a self-consistent ontology, then answers with hybrid retrieval (semantic, keyword, and a graph walk) that surfaces the connected facts across your sources.
Quickstart · What is stoa? · Architecture · How it works · Export · Compare · Integrations · FAQ · Use cases
Most of what you learn never gets synthesized. It sits in scattered PDFs, transcripts, notes, and threads you'll never re-read. stoa turns that pile into one connected, cited picture you can question, so your past reading compounds.
Drop in your files and stoa compiles them into a maintained knowledge graph and a cited wiki you can talk to, always showing its work. It builds the picture once and keeps it current as you add more, instead of re-reading your files on every question. It does the synthesis you'd otherwise do by hand: it recognizes "Acme" and "Acme Corp" are the same company, retires outdated facts (with history), and cross-links everything.
Your knowledge stays yours. A brain is a folder of plain files you own, and you choose where the AI runs, per brain. Nothing leaves your box without a loud, explicit choice. Keep a brain on your machine, on a server you host, or managed by us; share it with the people and agents you trust; and ask across several brains at once.
From the project README.
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An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents.
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