Knowledge Base
Free, offline-first desktop knowledge base for Windows and macOS with Markdown, [[wiki links]] and local AI Q&A.
For a solo note-taker who wants graph view, tasks and AI Q&A without curating Obsidian plugins or paying a Notion subscription, this is a genuinely complete free option — and the vendor lists no paid tier at all. The tradeoffs are structural, not cosmetic: single-user by design, no shipped mobile app, Linux still planned, and WebDAV sync is snapshot push/pull rather than live co-editing. You also supply your own OpenAI, DeepSeek or Claude key for AI answers.
Verified 4d ago · liveness 69/100 · cite: rightaichoice.com/tools/knowledge-base
- Individual knowledge workers who want a local-first Notion or Obsidian alternative with AI Q&A already built in
- Developers and technical writers who think in Markdown and want a fast native desktop app at roughly 50 MB memory
- Chinese-language users who need full-text search with Chinese tokenization and snippet highlighting
- Students and researchers building a private library with PDF and DOCX import plus full-text search
- Teams needing real-time collaboration, shared workspaces or comments — this is single-user by design
- Anyone who needs an iOS or Android app now; the docs list an Android page but no shipped mobile app is confirmed
- Linux users today: the vendor lists Linux as planned (Windows 10+ x64 and macOS 12+ only)
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Skip Knowledge Base if you need shared team workspaces, live co-editing, or a mobile app on iOS/Android today, or if you want an AI assistant that works without supplying your own API key.
AI Q&A bills against your own OpenAI, DeepSeek or Claude key, so heavy question volume shows up on that provider's invoice, not the app's
The vendor lists a single free tier with all features included: no subscription and no paid plan shown on the page. That undercuts subscription note apps such as Notion's paid seats, and matches Obsidian's free personal tier while bundling graph, tasks and AI Q&A that Obsidian typically reaches through community plugins. The variable cost you control is the LLM key plus whatever WebDAV storage you use.
In short
Knowledge Base — Free, offline-first desktop knowledge base for Windows and macOS with Markdown, [[wiki links]] and local AI Q&A. Best for Individual knowledge workers who want a local-first Notion or Obsidian alternative with AI Q&A already built in, Developers and technical writers who think in Markdown and want a fast native desktop app at roughly 50 MB memory, Chinese-language users who need full-text search with Chinese tokenization and snippet highlighting. Free to use.
What people actually say about Knowledge Base — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
96 mentions across 6 sources (Hacker News, YouTube, Product Hunt, Stack Overflow, GitHub, Lemmy) · researched Sep 1, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Free forever, no subscription or limits on notes.
- +Offline-first, all data stays on your device.
- +Lightweight Tauri app, ~50 MB RAM, instant startup.
- +Built-in AI Q&A supports local models via Ollama.
- +WYSIWYG Markdown editor with backlinks and graph view.
- −No mobile app, limiting on-the-go note access.
- −Plugin ecosystem is immature compared to Obsidian.
- −Small community means fewer tutorials and shared knowledge.
- −AI Q&A requires API keys for OpenAI/Claude, adding cost.
- −WebDAV setup is not user-friendly for non-technical users.
- • While the app is free, using AI Q&A with OpenAI or Claude incurs API usage costs based on your own keys.
- • If you choose WebDAV with a third-party service like 坚果云, that service may have its own subscription cost.
Viability Score
How well maintained and how widely used is Knowledge Base? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- WYSIWYG Markdown editor (Tiptap) with code highlighting, tables, to-dos and slash menu
- Bidirectional [[note]] links with a backlinks panel
- Force-directed knowledge graph visualization of note relationships
- Full-text search via SQLite FTS5 with Chinese tokenization and snippet highlighting
- Chinese-language full-text search with title weighting
- AI Q&A using keyword retrieval plus hit-window RAG
- Local RAG with no embedding cost and no first-run indexing wait
- Works with OpenAI, DeepSeek, Claude and other OpenAI-compatible APIs using your own key
- Unlimited nested folders plus multi-select tags with combined search and filtering
- Daily notes with Tiptap rich-text templates (meeting minutes, project review, book notes)
- Task management with list, board and calendar views, due dates, urgency and system notifications
- Multi-device sync via WebDAV (坚果云 or self-hosted) using ZIP full snapshots
- Scheduled auto-push and one-click pull for WebDAV sync
- AES-256-GCM encryption for sync credentials, stored locally in SQLite
- Import .md, .txt, .pdf and .docx with auto-detected encoding; export to Markdown
About Knowledge Base
Knowledge Base (kb.ruoyi.plus) is a free desktop app for personal knowledge management, built on Tauri 2.x by Chinese studio 若依科技工作室. It keeps everything in a local SQLite database plus native Markdown on your own machine. There is no cloud account, no subscription, and no proprietary file format — the vendor's own pitch is that notes stay readable and the app works with no network at all. The writing surface is a Tiptap WYSIWYG Markdown editor: type and it formats as you go, with code highlighting, tables, to-dos and a slash menu, while the underlying Markdown stays intact. Round that out with bidirectional [[note]] links and a backlinks panel, plus a force-directed knowledge graph where nodes are notes and edges are links — click a node to jump straight to that note. Search runs on SQLite FTS5 with Chinese tokenization, title weighting and snippet highlighting; the vendor quotes millisecond responses at the 10万 (100k) note scale. AI Q&A is built in rather than bolted on: keyword retrieval plus a hit-window RAG approach, so there is no embedding cost and no first-run indexing wait. You bring your own key and point it at OpenAI, DeepSeek, Claude or any OpenAI-compatible API. Around that sit unlimited nested folders, multi-select tags with combined search, daily notes with rich-text templates (meeting minutes, project review, book notes), and tasks in list, board or calendar view with due dates, urgency and system notifications. Multi-device sync is WebDAV against 坚果云 or a server you host: ZIP full snapshots pushed on a schedule and pulled with one click, with the password AES-256-GCM encrypted in SQLite rather than passed through a third party. Against Notion, the trade is cloud collaboration for data ownership and offline speed. Against Obsidian, it ships graph, tasks and AI Q&A natively instead of asking you to assemble a plugin stack. Individual Windows 10+ (x64) and macOS 12+ (Apple Silicon / Intel) users are the target; Linux is listed as planned, and the
Behind the Verdict
The pitch here is data ownership, and the implementation backs it up: native Markdown plus SQLite, export to Markdown, a configurable data directory, and a fully offline editing, search, linking and graph experience. If you have ever abandoned a notes app because you could not get your content back out in a usable shape, that combination is the reason to look at this one. We would reach for it in a few concrete situations. You write primarily in Markdown and want the formatting to happen as you type rather than in a source pane. You want AI answers grounded in your own notes but refuse to upload the corpus to someone's embedding pipeline — the hit-window RAG design means you supply the API key and there is no indexing step on first run. You work in Chinese and have been burned by full-text search that cannot tokenize it; FTS5 with Chinese tokenization and snippet highlighting is a real differentiator against English-first competitors. Where it bites is collaboration. There is no shared workspace, no real-time co-editing, no comments — it is a single-user application by design, not by omission. Sync exists, but it is WebDAV ZIP snapshots: scheduled push, one-click pull. That handles "same notes on my desktop and laptop." It does not handle two people editing the same page, and you should not try to make it. Platform coverage is the other caveat. The vendor lists Windows 10+ (x64) and macOS 12+ (Apple Silicon and Intel), with Linux marked as planned. An Android page exists in the docs navigation, but no shipped mobile app is confirmed, so do not plan around capture-on-phone today. The closest alternative is Obsidian, and the choice is mostly about maintenance appetite. Obsidian gives you a far larger plugin ecosystem and established mobile apps; this gives you graph
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Real-world workflow fit
Concrete scenarios for the personas Knowledge Base actually fits — and what changes day-one when you adopt it.
Installs the Windows .exe, unzips nothing, and on first launch lets the app initialize its local SQLite database; creates a client folder, opens a daily note from the meeting-minutes template, and writes notes with [[client]] links as the call runs.
Outcome: Meeting notes stay on the laptop, each client name resolves to a linked hub note with a backlinks panel, and tasks get due dates that fire system notifications.
Uses the v0.2.0+ new-note modal to import PDFs, which extracts text and keeps the original in sources/, then tags each import by topic and adds a blank note that links them all together.
Outcome: Imported papers are searchable through FTS5 alongside handwritten notes, and the knowledge graph shows which papers cluster around which topic.
Sets an OpenAI-compatible key in AI Q&A, then configures WebDAV to 坚果云 with the credential stored AES-256-GCM encrypted in SQLite, schedules snapshot pushes, and pulls once on the second machine.
Outcome: Questions are answered from local notes without uploading the vault, and the second machine gets a full ZIP snapshot on demand rather than a live sync stream.
Use Cases
- Take daily work logs and generate meeting minutes from built-in templates
- Build a personal knowledge network with bidirectional links and explore it via the knowledge graph
- Instantly locate content across thousands of notes with FTS5 full-text search and snippet highlighting
- Query your local knowledge base with AI using your own API key, without uploading notes or needing internet
- Manage personal projects with task reminders plus board and calendar views
- Import existing PDF and DOCX research material and search it alongside your own notes
- Keep a Chinese-language vault where FTS5 tokenization and title weighting actually work
Models Under the Hood
as of 2026-10-16
Limitations
- AI Q&A is only a retrieval-plus-prompt layer: it is compatible with OpenAI, DeepSeek, Claude and other OpenAI-compatible APIs but ships with no built-in model, so you must supply your own provider and key.
- Multi-device sync depends on an external WebDAV server (坚果云 or self-hosted) with ZIP full snapshots rather than first-class cloud sync, so it behaves like scheduled backup-and-pull rather than live sync.
- Supported platforms are Windows 10+ (x64) and macOS 12+ (Apple Silicon / Intel); Linux is stated as planned, and the docs include an Android page although no shipped mobile app appears.
- There is no real-time collaboration or shared workspace.
- Notion users who rely on relational databases and database-style views will not find equivalents here — organization is folders, tags and tasks.
as of 2026-10-03
Verification history
We have re-verified Knowledge Base 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Knowledge Base tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo knowledge workers, students, researchers and Chinese-language note takers who want graph, search, tasks and AI Q&A without a subscription
What this tier adds
Starting tier: every listed feature is included — WYSIWYG Markdown, bidirectional links, knowledge graph, FTS5 search, AI Q&A, tasks and WebDAV sync
Where the pricing makes sense
The company stage and team size where Knowledge Base's pricing actually pencils out — and where peers do it cheaper.
The vendor lists a single free tier with all features included: no subscription and no paid plan shown on the page. That undercuts subscription note apps such as Notion's paid seats, and matches Obsidian's free personal tier while bundling graph, tasks and AI Q&A that Obsidian typically reaches through community plugins. The variable cost you control is the LLM key plus whatever WebDAV storage you use.
Setup time & first value
How long it actually takes to get something useful out of Knowledge Base — broken out by persona, not the marketing-page minute.
Single machine: about 10 minutes — install the .exe or .dmg, let the app initialize SQLite on first launch, and write a first note with [[links]] and a template. Add 15–20 minutes if you configure AI Q&A with an API key and WebDAV sync, since the key goes in your LLM provider and the WebDAV password is encrypted into local SQLite. Importing an existing Markdown folder takes as long as the file
Switching to or from Knowledge Base
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Obsidian: import your Markdown vault — notes stay .md, and [[wikilinks]] map onto bidirectional links, though plugin-specific syntax will not render
- →From Notion: export pages to Markdown and import the .md files; database-style views do not carry over, so rebuild them as folders, tags and tasks
- →From a folder of loose notes: point the data directory at it or import .md/.txt in bulk with auto-detected encoding
- →From PDF and DOCX archives: use the new-note modal's PDF and Word import, which extracts text and keeps originals in sources/
- ↗To Obsidian: export to Markdown and open the folder as a vault; links and tags survive, and you re-add graph and AI through community plugins
- ↗To Notion: export Markdown and paste into pages, then rebuild databases by hand since folder/tag structure is not relational
- ↗To a plain archive: export Markdown plus the SQLite database; both are non-proprietary formats you can read without the app
Integrations
Resources & Guides
Tutorials & Learning
LLM Knowledge Bases: a practical guide — Ben Holmes, Warp
AI Engineer
Build a Self Improving Claude Knowledge Base
Paul J Lipsky
How to Create a Knowledge Base for your AI Harness
Jordan Urbs
YouTube returned 6 videos for “Knowledge Base”, and we withheld 3: 3 did not mention Knowledge Base. Showing the 3 we can prove are about Knowledge Base.
Official links
Tools that pair well with Knowledge Base
Common stack mates teams adopt alongside Knowledge Base, with the specific reason each pairing earns its keep.
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Paxton AI is a legal AI assistant that grounds litigation research and drafting in your case's matter record.
Mindsera
Mindsera is an AI journal that detects your emotions, tracks thought patterns, and coaches you with 50+ mental models.
Featured Head-to-Head Comparisons
Knowledge Base vs Surge Ai
Surge AI and Knowledge Base serve completely different needs. Surge AI is a high-cost, expert-driven human feedback platform for frontier AI labs needing rigorous RLHF and red teaming, while Knowledge Base is a free, local-first personal knowledge management app with AI Q&A for individuals. Choose Surge AI if you're training or evaluating advanced AI models; choose Knowledge Base if you manage your own notes and want offline privacy.
Knowledge Base vs Praktika
Praktika and Knowledge Base serve completely different needs: one is for language conversation practice, the other for personal knowledge management. Choose Praktika if you want AI tutors to improve your speaking fluency on mobile. Choose Knowledge Base if you need a local-first, Markdown-based knowledge base with AI Q&A and full data control. Their only commonality is using AI, but for disparate tasks.
Gem vs Knowledge Base
Gem is built for TA teams wanting to automate every recruiting step — from sourcing to fraud detection — in one cloud platform. Knowledge Base is a free, local-first notebook for individuals who want total privacy and offline Markdown notes with optional AI Q&A. If you manage a hiring pipeline, pick Gem. If you need a personal wiki and task manager, pick Knowledge Base.
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