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Keepance vs Logseq.

The TL;DR table

Feature	Logseq	Keepance
License	AGPLv3 (open source)	Closed source, commercial
Pricing	Free	$49 once + your AI provider's API
Data location	Your hard drive (Markdown / EDN)	Your hard drive (Markdown)
Editor model	Outliner (bullets first)	Document editor (paragraphs first)
AI integration	Plugin-based; assemble your own stack	Built-in BYOK Claude / OpenAI / Gemini / Ollama
Founder workflow templates	No (community templates exist)	15 built in + community marketplace
Image attachments in AI chat	Plugin-dependent	Paste, drag, paperclip per provider
PDF chat with native vision	Plugin-dependent	Drop in, Claude reads it natively
PDFs in workspace search	Plugin-dependent	Toggle in Memory settings
Long-context [Compress]	No	Yes
Read aloud (TTS), local	Plugin	Local Piper sidecar bundled
UI languages	20+ via community	English, Espanol, Deutsch
Try before you install	Demo graph in app	Free web demo
Wiki-links / backlinks	Yes (deep)	Yes
Daily journal	Yes (default flow)	Yes (template)
Graph view	Yes	No (backlinks panel only)
Mobile	iOS, Android (open source)	Read via cloud-sync workaround
Document workflows (DOCX, XLSX)	No	Read/write .docx, .xlsx, .pptx, .pdf
Audio recording + transcription	Plugin	Built-in
Whiteboard / canvas	Built-in (Whiteboards)	Built-in
Plugin ecosystem	Hundreds of community plugins	v2.0: sandboxed runtime + 4 day-one plugins

Where Keepance wins

1. Built-in AI with structured templates

Logseq has community AI plugins (logseq-copilot, several Claude/OpenAI integrations) but the experience is "install, configure, hope the plugin keeps working." Keepance ships AI as the primary input with founder-specific templates that produce real documents.

2. Founder-specific workflow templates

Logseq has user-built templates and a strong daily-notes paradigm. Keepance has 15 templates designed for founder work: pitch deck, customer interview, financial projections, weekly review, MVP scope.

3. Document editor instead of outliner

Logseq's outliner-first model is a love-it-or-hate-it design. If you naturally think in nested bullets, Logseq is great. If you write in flowing paragraphs (which most founder docs are), Logseq's outliner gets in the way. Keepance is paragraph-first.

4. Native handling of binary docs

If your founder workflow includes editing a Word doc, working in an Excel spreadsheet, or annotating a PDF, Keepance handles these natively. Logseq is text-only without plugins.

5. Polish over plugin assembly

Logseq's "assemble your own stack" approach gives flexibility but requires assembly work. Keepance ships a coherent product where AI, templates, search, audio, whiteboard, document handling all work together without configuration.

Where Logseq wins

1. Open source

Logseq is AGPLv3. You can read the source, fork it, run a private build forever. Keepance is closed source. If open-source is a hard requirement, Logseq is the only choice between these two.

2. Free

Logseq is $0. Keepance is $49 once. For users with no budget, Logseq removes that barrier.

3. Mobile (also free, also open source)

Logseq has iOS and Android apps. Keepance is desktop only.

4. Outliner workflow for users who think in bullets

If you're already a Workflowy / Roam Research / Tana user, Logseq's outliner feels native. Keepance's document editor will feel constraining.

5. Larger plugin ecosystem

Hundreds of community plugins extend Logseq into specific domains. Keepance's plugin runtime shipped in v2.0 with four day-one entries (word counter, translator, pomodoro, mermaid preview) in a public MIT-licensed catalog. Real, but young. If your existing Logseq workflow leans heavily on plugins, you'll have a much wider library there.

6. Graph view

Logseq's interactive graph visualization of your knowledge graph is a real feature for users who want it. Keepance has backlinks panel but no graph.

When each is the right choice

Pick Logseq if:

• Open source is a hard requirement
• You think in nested bullet points
• You want to assemble your own AI stack via plugins
• You want a free tool
• You need mobile editing

Pick Keepance if:

• Founder-specific AI templates would save you real time
• You write in paragraphs, not bullet trees
• You'd rather pay $49 once than configure plugins
• You handle Word/Excel/PDF docs as part of your workflow
• You want a coherent product over assembly flexibility

Migrating from Logseq to Keepance

1. Logseq's data is already Markdown + EDN. The Markdown files in your Logseq graph are directly readable by Keepance.
2. Open Keepance and pick your Logseq graph folder as the workspace.
3. Logseq's `[[wiki-link]]` syntax is compatible with Keepance's. Backlinks resolve.
4. Logseq-specific features (block references via `((id))`, properties, queries) won't render in Keepance; the data is preserved as text in the file.
5. Get a Claude / OpenAI / Gemini API key, paste into Keepance, start chatting against your imported archive.

This is the easiest migration of any vs-page in this site, since the underlying file format is essentially the same. The biggest adjustment is the editor paradigm shift from outliner to paragraph editor.