Voice transcription
Speak in any language. Knovya transcribes, structures, and tags. A 30-minute meeting becomes a searchable, linkable note before you sit back down at your desk.
Learn moreAI-native knowledge base. Zero-friction capture. Recall becomes recognition.
The brain is weak at recall, strong at recognition. Every PKM tool ignored this for forty years. We built the missing function.
Free forever.No credit card.60-second setup.
Knovya is not another note app. It removes friction from three moments where productivity actually breaks. Each one compounds.
An AI knowledge base is a software system that stores, organizes, and retrieves information using artificial intelligence — not just keyword search. Knovya combines full-text search, vector embeddings, and a learned ranking signal to find the right note before you finish typing the question. Notes connect through a knowledge graph; outcomes shape what gets surfaced; and the same knowledge is available to every AI tool you already use, through MCP.
You read in the browser, talk in Slack, think in Claude, draft in Cursor, and store in Notion. Five surfaces, zero memory between them.
Every chat with an LLM forgets the last one. The bottleneck isn't intelligence — it's continuity of context.
Anthropic's Model Context Protocol turned every AI tool into a client. Knovya is the knowledge base that speaks it natively.
Cognitive science settled this fifty years ago: humans are weak at producing information from nothing, and remarkably strong at recognizing it once they see it. Watch what happens when a tool is finally built around that fact.
01Recall — the old way
“I know I've thought about this before — I just can't find where. So I start from scratch.”
What if you didn't have to look?
Recall → Recognition
03Recognition — the Knovya way
“There it is. That's exactly the context I needed. Now I'm building on what worked.”
Built on a knowledge graph. Ranked by NoteRank. Surfaced by Experience Envelope. Encrypted on Pro.
If the act of saving costs you a thought, the system has already failed. Knovya intercepts knowledge as it lands — voice, conversation, browser, AI chat — and structures it for you in the background.
Speak in any language. Knovya transcribes, structures, and tags. A 30-minute meeting becomes a searchable, linkable note before you sit back down at your desk.
Learn moreTurn any Claude, ChatGPT, or Cursor conversation into a structured Knovya note with one command. The reasoning is preserved; the AI session becomes part of your memory.
Learn moreDrop a URL or a question — Knovya retrieves, summarizes, cites, and saves a structured note with full source attribution. Built on Anthropic's web_search and web_fetch primitives.
Learn moreAsking a person who is already drowning in information to organize it is a category error. The system organizes itself. You write — Knovya structures, ranks, and links in the background.
A personal PageRank for your knowledge. Frequency, recency, link density, outcome, persona match, and five more inputs decide what surfaces first — for you, not for everyone.
How it worksMention blocks build a graph as you write. [[Project X]] is parsed, resolved, and back-linked automatically. See the connections you didn't know you'd made.
Folder hierarchies are suggested from content, not maintained by you. Tags emerge from how you write. The persona system learns your domain — legal, technical, creative — and adapts.
Learn moreYou typed ~70 ms ago
Ranked from your 14,238 notes
The same query yesterday would have surfaced different notes. Your context moved.
Why #01 ranks first
Rank 01 · matched
Q3 retro — pricing decision
Each note carries a different shape. Yours change every day.
Memory isn't a database query. It's timing. The right note has to arrive when you start the new decision, not after it. Knovya's three retrieval layers work together to make recall happen before you ask.
PostgreSQL FTS for exact terms, pgvector for meaning, Reciprocal Rank Fusion to combine. Turkish, English, code identifiers, mixed scripts — one search, three retrieval models, one ranked answer.
How it worksEvery plan, decision, and bug carries its outcome — success, failure, partial, superseded. New similar work surfaces past precedents grouped by outcome. You stop deciding from scratch.
See precedents“What did we decide two months ago?” is a real query. Notes carry edit history; decisions carry timestamps; the graph carries causality. Knovya answers questions about when, not just what.
Learn moreWatch a real conversation. The developer asks a question in Cursor. The answer comes from Knovya — without leaving the editor, without re-explaining the project, without losing the thread.
No context window cost · no re-explaining the project · the IDE just asks
Q2 OAuth ADR — rotated tokens
We chose JWT rotated tokens with 14-day TTL because cookies leaked across subdomains and stateful sessions doubled DB writes. Two follow-up notes track the outcome — one success, one bug we still ship.
Knovya is built for the work that compounds — where today's decision needs yesterday's context. Five professions it was designed around, in their own words.
“Your IDE forgets every conversation. Knovya doesn't.”
MCP makes Knovya the long-term memory layer of your IDE. ADRs, bug post-mortems, sprint retros — available inside Cursor, Claude Code, and Copilot, ranked by what's actually relevant to today's commit.
Knovya for developers“You make 50 decisions a week. How many repeat old mistakes?”
Experience Envelope surfaces the past similar decision, with its outcome attached, the moment you start writing the new one. Stop deciding from scratch.
For PMs & founders“Your literature review shouldn't live in 47 PDFs and 3 Notion pages.”
Hybrid search across full-text and embeddings, knowledge graph for citations and cross-paper patterns, crystal notes for synthesis.
For academics“Your best ideas don't die in your head. They die in 12 different apps.”
For writers“I worked this precedent before. Which file was it in?”
A dedicated legal persona layer (precise, formal, reference-heavy). Note-level end-to-end encryption on Pro. Turkish FTS for Yargıtay, AYM, mevzuat. Client intake, IRAC case briefs, contract review checklists.
For lawyersA private knowledge base that uses AI is only meaningful if the privacy is real. Knovya's encryption is structural: encrypted notes are never embedded, never indexed, never seen on the server.
Per-note AES-256-GCM with a key envelope only your client unwraps. Encrypted notes are removed from FTS and embeddings — the server stores ciphertext, not content. Whitepaper available.
Two-factor authentication (TOTP + WebAuthn). Device fingerprinting. Anomaly detection on every sign-in. Email notifications on every new device. Free, Pro, and Team — no upcharge.
Every read, write, share, and key event is logged with actor, IP, and timestamp. Insider threat detection runs against the log. Export to your SIEM or compliance pipeline.
We don't bundle a hundred features and chop them into tiers. Knovya's intelligence layer — NoteRank, Experience Envelope, hybrid search, the knowledge graph — is the same on every plan, including Free. What scales with the price is how much of it you spend: how many AI calls, how many MCP requests, and whether your knowledge is end-to-end encrypted.
Free is generous — built to be useful, not to be a wall. Pro is for when Knovya becomes essential to your work. Team is for when knowledge becomes shared.
See full pricing & comparisonWhat & Why
The best AI note taking app is the one that remembers what you write — not just stores it. Knovya is built around that distinction. Where most apps treat AI as a feature bolted onto an editor, Knovya is AI-native: every note becomes part of a knowledge graph, ranked by NoteRank, surfaced by hybrid search, and accessible from Claude, ChatGPT, and Cursor through MCP. Compare Knovya to Notion AI, Mem, and Reflect.
Personal knowledge management (PKM) is the practice of capturing, organizing, and retrieving the information you need to think and work. Knovya treats PKM as a recall-to-recognition problem: you should not have to remember where you put something — the system should bring it to you when it matters. Read the full PKM guide.
An AI knowledge base is a software system that stores, organizes, and retrieves information using artificial intelligence — not just keyword search. Knovya combines full-text search, vector embeddings, and a learned ranking signal (NoteRank) to find the right note before you finish typing the question. Read the full AI knowledge base guide.
Yes — voice transcription turns a meeting into structured notes, Conversation→Note converts a Claude or ChatGPT session into a saved knowledge entry, and Web Research builds notes from any URL. The capture moment is zero-friction; the AI does the structure.
How is Knovya different
Notion AI bolts a chat interface onto a document. Mem and Reflect store notes for one user, in one place. Knovya is an AI-native knowledge base that connects to every AI tool you already use through MCP, surfaces precedents through Experience Envelope, and protects your knowledge with end-to-end encryption on Pro.
Yes. Knovya speaks the Model Context Protocol (MCP), the open standard that lets Claude, ChatGPT, Cursor, Gemini, Copilot, Windsurf, and Goose read and write to your knowledge base. 24 MCP tools, OAuth 2.1 with PKCE, plan-aware rate limits.
Pricing & privacy
Yes. Knovya Free is forever-free, with 50 notes, 50 AI credits per month, and 50 MCP calls per month — enough to connect Knovya to Cursor or Claude and try the full memory layer with no credit card.
Pro and Team plans include note-level end-to-end encryption (AES-256-GCM) — encrypted notes are not searchable or embeddable on the server. Free plan uses transport encryption. Login is hardened with 2FA, device fingerprinting, and anomaly detection.
Sixty seconds to start. A lifetime to fill. Free forever, with a path to more when you need it.
No credit card · 50 free MCP calls/mo · Cancel any time