Stop losing what
you learn.
Lorify turns everything you read into a structured, queryable wiki maintained by an LLM. Every source you add makes it richer. Every question you ask compounds into it.
Most tools forget. Every research session starts from scratch. Every agent run discards what it learned. The notes pile up in folders nobody opens.
In 1945 Vannevar Bush described the Memex: a personal knowledge store where every document could be linked to every other by associative trails. The vision was right. The missing piece was maintenance. Nobody had time to keep the trails current.
That constraint no longer applies. An LLM can read what you read, write the summaries you would have written, and maintain the cross-references as new material arrives. The curator problem is solved.
Three kinds of people lose knowledge this way.
The researcher who reads the same paper twice because they forgot they already understood it.
The professional whose institutional knowledge walks out the door when a colleague leaves.
The AI agent that resets every session, rebuilding context from nothing.
Lorify is the memory layer for all three.
How it works
Three steps from scattered sources to compounding knowledge.
Add sources
Paste a URL, upload a PDF, or clip a web article from your browser. Lorify fetches the content and queues it for compilation automatically.
Lorify compiles
An LLM reads each source and writes or updates wiki articles in the background. Articles are cross-referenced with backlinks, cited back to their sources, and indexed automatically.
Ask and compound
Ask any question and get a cited answer drawn from your wiki. Save answers back into the wiki with one click. The more you use it, the more it knows.
Built for the
Modern Intellect
Researchers & Analysts
Journalists, analysts, consultants, patients doing health research, podcast creators. Lorify builds a personal knowledge base from everything you read. You direct it. The LLM writes and maintains the wiki.
Teams & Professionals
Sales reps accumulating competitor intelligence. Consultants synthesising across engagements. Lawyers tracking case law. The wiki compounds at the individual level and, in shared workspaces, at the team level. Institutional knowledge that stays when people leave.
AI Agents
Agents that run daily but learn nothing between sessions. Lorify is the memory layer they plug into via REST API. The agent reads the wiki at session start, ingests new sources, and files findings back. Every run starts smarter than the last.
Use cases
Research wiki
Everything you read on a topic — papers, articles, reports — compiled into a wiki you can query.
ConsumerHealth research
A patient preparing for surgery builds a wiki from medical sources. Be the most informed person in the room at your next appointment.
ConsumerCompetitive intelligence
Track competitors across news, filings, and reports. The wiki notices patterns no single reading session would surface.
Consumer / EnterprisePodcast & content research
Deep research across many topics. Export a mini-wiki scoped to one episode or article as a prep brief. Nothing gets lost.
ConsumerPersonal wiki
Journal entries, health data, goals, decisions made and why. A structured picture of yourself you deliberately built — not passive profiling.
ConsumerAgent memory
Persistent, inspectable memory for stateless agents via REST API. Structured wiki articles, not flat facts. Human-readable and auditable.
AgentDifferent by
design.
Deep research tools are built for one-shot queries. Lorify is built for knowledge that compounds.
Explicit memory
Most AI memory is a black box. Lorify's is a wiki — every article, every source, every version is visible and navigable. You can see exactly what the system knows about your domain.
Compounds over time
The tenth question on a topic is better than the first because it starts from accumulated understanding. Other tools re-derive knowledge on every query. Lorify builds on what it already knows.
Yours to export
Your wiki is always exportable to standard markdown files you own and can open in any tool — including Obsidian. You are never locked in.
Agent-ready
REST API for agents to read the wiki index, fetch articles, search, and write learnings back. Agents that run daily build compounding expertise instead of starting from scratch.
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