$29 Million for Decentralized Knowledge
Anytype was founded in 2018 in Berlin by Anton Barulenkov, Roman Khafizianov, and Zhanna Sharipova with a bold thesis: personal knowledge should be decentralized, encrypted, and owned by the user. By 2023, the team had raised $29.3M in total funding, including a $13.4M round led by Balderton Capital. The product now serves around 20,000 daily active users and 80,000 monthly active users.
Both Moryflow and Anytype are open source, both work offline, and both reject the cloud-only model that dominates note-taking. But their architectural bets are different. Anytype routes everything through its AnySync peer-to-peer protocol with end-to-end encryption — no central server ever sees your data. Moryflow is local-first with optional cloud sync, prioritizing the AI agent layer that makes knowledge actionable.
These are genuinely different visions. Anytype invests in decentralized infrastructure. Moryflow invests in intelligence on top of local data.
Anytype has raised $29.3M to build peer-to-peer, E2E-encrypted knowledge management — one of the largest funding rounds in the decentralized PKM space.
Peer-to-Peer Sync vs AI-Driven Discovery
Anytype's AnySync protocol is its defining technical achievement. Devices sync directly when on the same network, with relay nodes handling remote sync — all end-to-end encrypted. The object model lets you create typed objects (Note, Task, Book, Person), define relations between them, and query your knowledge through set views and filters. It is a personal database that looks like a note app.
Moryflow takes a different architectural bet. Instead of investing in peer-to-peer infrastructure, it builds an AI agent layer on top of local-first storage. Documents use bidirectional links and tags, but the real structure comes from agents that discover patterns, surface connections, and maintain persistent memory across sessions. Where Anytype asks you to model your world explicitly, Moryflow's agents learn it over time.
For users who prioritize decentralized infrastructure and manual ontology building, Anytype's approach is compelling. For those who want AI to handle the organizational heavy lifting, Moryflow reduces the upfront effort while keeping data local.
Intelligence: Object Graph vs Autonomous Agents
Anytype's intelligence is structural. The object graph, typed relations, and set views let you build a personal knowledge base that you can query like a database. This is powerful for users who invest in defining types and maintaining relations — the system rewards precision. But Anytype has directed its $29.3M in funding toward decentralized infrastructure rather than AI, and the product has no autonomous agents, no persistent memory layer, and no multi-model access.
Moryflow's intelligence is computational. Agents plan multi-step research, call external tools, synthesize findings, and remember context across sessions. You connect your own API keys to 24+ providers — OpenAI, Anthropic, Google, open-source models — choosing the right model per task. The result is a workspace where AI actively participates in research and writing, not just stores what you organize manually.
Publishing and Sharing
Moryflow includes a built-in publishing pipeline. Any note or collection becomes a live website with SEO metadata, custom domains, and digital garden aesthetics. The path from private note to public page takes seconds.
Anytype currently has no publishing feature. Objects and spaces are private by default with no mechanism to share them as public web pages. Sharing is limited to collaboration within Anytype spaces.
For knowledge workers who want their notes to reach an audience — as blogs, portfolios, or documentation — Moryflow's publishing pipeline is a significant differentiator.
Pricing and Practical Trade-offs
Anytype offers a free plan with 1 GB storage and up to 3 shared spaces. The Builder plan ($99/year) unlocks 128 GB, and the Co-Creator plan ($299/year) adds more storage and collaboration features. 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.
The practical trade-off comes down to what you value most. Anytype gives you a decentralized, encrypted object graph with peer-to-peer sync — ideal if you want zero dependence on any central server and enjoy modeling your knowledge as structured data. Moryflow gives you autonomous AI agents, persistent memory, and a publishing pipeline on top of local-first storage — ideal if you want AI to actively help you research, write, and share.
Both keep your data under your control. Anytype does it through decentralization. Moryflow does it through local-first architecture with optional cloud sync.