Heptabase vs Logseq: pricing, features and which to choose

Plans, prices, deployment options, strengths and limits for Heptabase vs Logseq, taken from each company's pricing page, docs and changelog. Updated October 2026.

HeptabaseLogseq
Heptabase logo

Heptabase

Productivity AI Tools

Heptabase is a visual knowledge-management workspace for researchers, students, and learners who organize source material spatially. It combines PDFs, notes, cards, whiteboards, journals, and AI tools across desktop, web, and mobile apps. A seven-day trial is available, followed by Pro at $11.99/month or $107.88/year, with an $8.99 effective monthly annual rate.

Logseq logo

Logseq

Productivity AI Tools

Logseq is a free, open-source outliner for building a personal knowledge base from linked blocks, daily journals, tasks, flashcards and PDF annotations. Notes stay on your device as Markdown files or, in the newer DB version, a SQLite database. AI tools connect through plugins and an MCP server, and sync costs $5 a month for Open Collective backers.

Quick comparison

FeatureHeptabaseLogseq
CategoryProductivity AI ToolsProductivity AI Tools
Main useVisual research notesLinked note-taking
Pricing modelFree plan + paid tiersFree plan + paid tiers
Free plan Yes Yes
Entry paid plan$11.99/month or $107.88/year (Pro)$5/month (Backer)
PlatformsWeb, desktop, appAll platforms
Open source No Yes
Self-hosted No Yes
Public API Yes Yes
Profile updatedOctober 2026October 2026

Pricing plans

Every public plan, as listed on each company's pricing page.

Heptabase

  • Seven-day trialFree

    Includes unlimited PDF uploads and parsing plus Premium-level AI credits for up to seven days or until trial credits are exhausted.

  • Pro$11.99/month or $107.88/year

    Includes 100 AI credits/month, unlimited notes, whiteboards, tags, image uploads, and collaborator invites. PDFs have very high upload and parsing limits.

  • Premium$23.99/month or $215.88/year

    Includes 1,800 AI credits/month, unlimited PDF uploads and parsing, and supported Gemini, OpenAI, and Anthropic models.

  • Premium+$71.99/month or $647.88/year

    Includes 8,100 AI credits/month and the Premium feature set, with a lower on-demand usage rate than Pro and Premium.

  • Early-bird Pro$9.99/month or $83.88/year

    Grandfathered subscribers retain this Pro price under the plan rules. It is unavailable to new subscribers.

  • On-demand AI usageUsage-based

    Eligible paid subscribers can enable post-credit billing with a monthly spending limit. It is unavailable during the free trial.

Logseq

  • Free$0

    Full app on desktop, mobile and web; local Markdown or DB graphs; plugins.

  • Backer$5/month

    Open Collective backers get Logseq Sync across devices.

  • Sponsor$15/month

    Open Collective sponsors get Logseq Sync and early access features.

Strengths and limits

Heptabase

  • Reusable cards can appear across nested whiteboards.
  • PDF parsing, OCR, highlighting, and source workflows are built in.
  • Desktop storage supports local-first and offline behavior.
  • MCP and user API keys support external model providers.
  • Premium AI usage is metered through monthly credits.
  • Heptabase has no supported self-hosted server or end-to-end encryption.
  • Higher tiers cost more than local-first alternatives.

Logseq

  • Open source under the AGPL.
  • Local-first storage you control.
  • Block references, queries and flashcards built in.
  • MCP server connects AI tools in the DB version.
  • DB version and new sync are still beta.
  • No built-in AI assistant.
  • Queries and setup take time to learn.

Which should you choose?

Choose Heptabase if

  • Researchers who organize papers and highlights spatially.
  • Students building connected visual study notes.
  • Learners who want source-aware AI beside project boards.
  • Users who need offline desktop access with optional sync.

Look elsewhere if

  • Teams seeking a general project-management database.
  • Users requiring end-to-end encryption or self-hosting.
  • People who prefer plain Markdown and outliner workflows.

Choose Logseq if

  • Outline thinkers who journal daily.
  • Researchers annotating PDFs into notes.
  • Privacy-minded users wanting local files.
  • Developers who prefer open-source tools.

Look elsewhere if

  • Teams needing a polished shared wiki.
  • Users who want built-in AI without setup.
  • Anyone unwilling to back up beta data.

Heptabase logo Heptabase in brief

Heptabase is made by Hepta Platforms, Inc. and is an actively developed visual knowledge-management service. Its focus is research and learning rather than general project management. The product combines reusable cards, PDFs, journals, databases, tags, research imports, AI chat, and agent workflows. Desktop storage has local-first and offline behavior, while optional cloud sync works across unlimited devices. Mobile supports capture and reading. Heptabase is proprietary software, not an open-source project, and its hosted design means cloud processing remains part of the service even when one device holds a local database. The company describes its early-bird offer as ending on August 31, 2023, with version 1.0 launching at that time.

A typical Heptabase workflow starts with PDFs, web or video content, notes, and highlights. Documents can be parsed or processed with OCR, after which selected passages become reusable cards. Users arrange cards on nested whiteboards, connect them with tags, and search the resulting knowledge base. Cards can appear on multiple boards, which suits projects that revisit the same source material. AI Tutor, chat, transcripts, Insight Generator, and voice-note features add assistance around collected material. Users can publish or share selected spaces. PDF extraction creates text for AI, including scanned text through OCR, but it does not automatically create highlight cards. Users must select passages when they want highlight cards.

Heptabase's main tradeoff is cost and service dependence. Premium and Premium+ meter AI work through monthly credits, there is no end-to-end encryption or supported self-hosted Heptabase server, and server-side indexes contain content chunks, metadata, and vectors. Obsidian offers local Markdown and optional Sync, while Heptabase provides a stronger built-in PDF, card, and whiteboard workflow. Scrintal is stronger for real-time collaboration, templates, and tablet ease, while Heptabase is more research-focused. Notion is better for team databases and project management. Logseq offers an open-source, outliner-oriented alternative with stronger local ownership. Pick Heptabase if spatial source synthesis matters more than local ownership or low subscription cost.

Read the full Heptabase review

Logseq logo Logseq in brief

Logseq began in 2020 as an open-source project and grew into one of the best-known privacy-first alternatives to Roam Research and Obsidian. Its GitHub repository has more than 45,000 stars, and its code is licensed under the AGPL. A small core team, about four people according to its forum, builds the app with community contributors, and it is funded partly through Open Collective sponsorships. Logseq attracts students, academics, writers, researchers and software developers who think in outlines and want notes that link together without handing their data to a cloud service. It runs on Windows, Mac, Linux, iOS, Android and the web.

Everything in Logseq is a block in an outline. You write in a daily journal by default, then link ideas with [[page]] references or #tags, and backlinks show where every page is mentioned. Blocks can be embedded or referenced elsewhere, so one idea can appear in many contexts. Built-in features include tasks with TODO and NOW states and scheduled dates, queries that pull blocks matching conditions, a graph view, whiteboards for spatial thinking, flashcards with spaced repetition and PDF annotation that links highlights back into notes. The original version stores pages as Markdown or Org-mode files in a folder you choose, so other tools can read them.

Logseq's strengths are its open-source license, local-first storage, powerful block references and queries, built-in journals, flashcards and PDF annotation, and a path to AI through MCP and plugins. Its weaknesses are a long transition to the DB version, beta-quality features, a slower release pace than commercial apps and a learning curve for queries. Obsidian has a larger plugin library and file-based notes, but is not open source. Roam Research pioneered the block outliner as a paid service. Tana and Capacities add structured objects and built-in AI. Notion suits team wikis. Choose Logseq if you want a free, open-source outliner that keeps notes on your own device.

Read the full Logseq review

Frequently asked questions

How do Heptabase vs Logseq compare on price?

Heptabase has a free option, and its first paid plan (Pro) is listed at $11.99/month or $107.88/year. Logseq has a free option, and its first paid plan (Backer) is listed at $5/month. Prices are from each company's pricing page and can change, so check before you buy.

Which has a free plan, Heptabase vs Logseq?

All of them. Heptabase: Includes unlimited PDF uploads and parsing plus Premium-level AI credits for up to seven days or until trial credits are exhausted. Logseq: Full app on desktop, mobile and web; local Markdown or DB graphs; plugins.

Can I self-host or integrate Heptabase vs Logseq?

Logseq is open source. Logseq can run on your own servers. Heptabase and Logseq offer a public API.

How much does Heptabase cost?

Heptabase offers a seven-day trial. Pro costs $11.99 per month or $107.88 per year, which equals $8.99 per month when averaged across the year. Premium costs $23.99 per month or $215.88 per year. Premium+ costs $71.99 per month or $647.88 per year. Taxes may apply, and grandfathered early-bird Pro subscribers retain separate pricing.

Does Heptabase have a free plan?

Heptabase publishes a seven-day trial rather than a permanent free plan. During the trial, users receive unlimited PDF uploads and parsing plus the Premium AI credit allowance for up to seven days or until trial credits run out. Afterward, continued use requires a paid subscription. Pro is the lowest standard paid tier.

Is Logseq free?

Yes. Logseq is free and open source under the AGPL, with apps for Windows, Mac, Linux, iOS, Android and the web, and no account needed for local graphs. Logseq Sync is a paid feature for Open Collective backers at $5 a month and sponsors at $15 a month, though many users sync files themselves.

Does Logseq have AI features?

Logseq has no built-in AI assistant. Community plugins add GPT-powered writing, summarization and question answering using your own API key. The DB version includes an optional MCP server that lets AI apps such as Gemini CLI or local models in LM Studio search, create and edit pages, tags and blocks.

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