Bootstrapped and User-Funded
Capacities stands out in the PKM landscape for a rare reason: it has zero venture capital funding. Founded in 2022 (development started in 2020) in Stuttgart, Germany, the team has built the product entirely on subscription revenue from paying users. In an industry where most competitors chase VC rounds, Capacities' bootstrapped model means every feature exists because users asked for it, not because investors demanded growth metrics.
The product philosophy reflects this independence. Everything is a typed object — when you create a note about a person, it is a Person object; a book becomes a Book object; a meeting becomes a Meeting. The visual design is clean and thoughtful, the daily note serves as a natural entry point, and AI-powered Q&A lets you ask questions about your notes. Capacities even offers a "Believer" plan at $12.50/month (annual) for users who want to directly support the team's mission.
Capacities is one of the few PKM tools built entirely on user subscriptions — no VC, no growth-at-all-costs pressure.
AI Depth: Retrieval Q&A vs Autonomous Agents
Capacities' AI reads your object graph and answers questions about your existing notes. This is useful for recall but fundamentally reactive — you ask, it answers, and your workspace stays the same. The AI layer complements the typed object system but does not extend beyond retrieval.
Moryflow's agents are proactive. They plan research across multiple sources, synthesize findings into new documents, and maintain persistent memory that improves over time. You bring your own API keys and choose the right model per task — whether that means using a fast model for quick questions or a reasoning model for deep research. The workspace accumulates intelligence with every interaction rather than treating each query as a one-off.
For users who want AI to do more than answer questions — to actively research, write, and organize — the depth of Moryflow's agent system is a meaningful step beyond retrieval Q&A.
Architecture: Local-First vs Cloud
Moryflow stores notes locally by default. The app works offline, data never leaves your device unless you opt into cloud sync, and you can export to standard Markdown at any time. The codebase is open source under the MIT license.
Capacities is cloud-based. Your data lives on Capacities' servers, and the app depends on an internet connection. While export options exist, the object-based format does not map cleanly to standard file formats. Capacities is closed source.
For users who prioritize data sovereignty, offline access, or open-source transparency, the architectural difference is meaningful.
Publishing and Output
Moryflow includes a built-in publishing pipeline. Any note or collection becomes a live website with SEO metadata, custom domains, and digital garden aesthetics. Notes serve as both personal knowledge and public content.
Capacities has no publishing feature. Objects and spaces are private, with sharing limited to collaboration within the app. To publish Capacities content, you would need to export and use a separate platform.
For knowledge workers who want their notes to become blogs, portfolios, or documentation sites, Moryflow's publishing is purpose-built for that workflow.
Pricing and Sustainability
Capacities' bootstrapped model shapes its pricing directly. The free tier is generous: unlimited notes and 5 GB storage. Pro costs $10/month (annual) or $12/month. The Believer plan at $12.50/month (annual) lets users explicitly fund the team's independence. Every dollar of revenue comes from people who use the product.
Moryflow's free tier includes local AI and unlimited notes with no storage cap on local data. The Pro plan adds cloud sync, advanced agents, and one-click publishing. Both tools offer meaningful free tiers, but the business models differ: Capacities depends entirely on subscriptions to survive, while Moryflow is open source with a local-first architecture that works indefinitely even without a paid plan.
The right choice depends on what you value: Capacities' user-funded independence and object-based structure, or Moryflow's open-source transparency and AI agent depth. Both are built by small teams that prioritize the product over growth metrics.