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Comparison · Collab
Capacities vs Joplin
A side-by-side editorial comparison of Capacities and Joplin — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:ai-integration
Capacities vs Joplin: at a glance
What is Capacities?
Capacities ships API 2.0, pivoting from self-contained PKM toward a connected AI memory layer
Capacities is a structured personal knowledge management tool shipping at monthly cadence. In the past 4 months it has added AI Chat Connectors (connecting the space to ChatGPT, Claude, and Cursor), a developer-facing API 2.0, weblink reader and analysis, PDF annotations, AI image generation, and configurable AI model providers. The combination describes a product moving from self-contained PKM to a node in a broader AI-augmented knowledge graph.
What is Joplin?
Joplin 3.7 ships AI chat, semantic search, and MCP integration — all off by default, all controllable by the user.
Joplin 3.7 is the product's first real AI release: an in-app chat panel for querying the currently open note, semantic (meaning-based) search across notebooks, and an MCP server that lets external AI assistants connect to Joplin's note graph. The implementation is privacy-first by design — AI is disabled by default, local models (Ollama, LM Studio) are explicitly supported, and cloud AI services only receive the specific note content relevant to a request rather than the full notebook. A companion documentation post published September 14 lays out the privacy model explicitly.
Capacities vs Joplin: editorial side-by-side
Capacities
5.0COLLAB
Capacities ships API 2.0, pivoting from self-contained PKM toward a connected AI memory layer
◆ Current state
Capacities is a structured personal knowledge management tool shipping at monthly cadence. In the past 4 months it has added AI Chat Connectors (connecting the space to ChatGPT, Claude, and Cursor), a developer-facing API 2.0, weblink reader and analysis, PDF annotations, AI image generation, and configurable AI model providers. The combination describes a product moving from self-contained PKM to a node in a broader AI-augmented knowledge graph.
◆ Where it's heading
The consistent direction is making Capacities connectable — first via AI chat integrations, then a proper developer API, and now deeper object types and AI media generation. The new Pro+/Believer+ pricing add-ons indicate AI usage is growing enough to require metered capacity. The platform is accumulating capability surface faster than a traditional note-taking tool and faster than comparable PKM competitors.
◆ Prediction
The most likely next move is deeper API-to-AI-connector integration, letting third-party agents create and modify Capacities objects programmatically — the existing connector work is the precondition for functioning as an AI memory layer rather than just a note store.
Joplin
6.3COLLAB
Joplin 3.7 ships AI chat, semantic search, and MCP integration — all off by default, all controllable by the user.
◆ Current state
Joplin 3.7 is the product's first real AI release: an in-app chat panel for querying the currently open note, semantic (meaning-based) search across notebooks, and an MCP server that lets external AI assistants connect to Joplin's note graph. The implementation is privacy-first by design — AI is disabled by default, local models (Ollama, LM Studio) are explicitly supported, and cloud AI services only receive the specific note content relevant to a request rather than the full notebook. A companion documentation post published September 14 lays out the privacy model explicitly.
◆ Where it's heading
Joplin is repositioning from a sync-agnostic note-taking app into an AI-native knowledge base, differentiated by opt-in, local-first controls. The HMD Terra M preload partnership and the warrant canary point to a deliberate push toward privacy-conscious enterprise and professional users who distrust cloud-first tools. The MCP integration is particularly strategic: it makes Joplin's note graph accessible to external orchestration pipelines without locking into any particular AI provider.
◆ Prediction
The next major release will likely expand AI chat to multi-note context — currently limited to the open note — and add more configurable MCP tools. The HTR (handwritten text recognition) project from the 2024 French government partnership is also likely to appear in a near-term release.
Alternatives to Capacities and Joplin
Other Collab products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Capacities or Joplin.
SiYuan
SiYuan v3.8.4 beta cycle adds agent-controlled database fields, MiniMax image gen, and skill file management
GitHub
GitHub Copilot gets cost-aware inference tiers as enterprise AI tooling tightens across the platform.
Nextcloud
Nextcloud runs three LTS branches in parallel, shipping bug fixes and quiet performance wins.
Teable
Teable adds Composio integration and Scheduled Routines, pivoting from spreadsheet to agentic workflow platform.
Happeo
Happeo doubles down on SEO content to own intranet search terms for mid-market buyers.
See all Capacities alternatives → · See all Joplin alternatives →
Recent activity from Capacities and Joplin
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoJoplinYour notes and AI: privacy first
- 12d agoCapacitiesRecent continuous improvements
- 15d agoCapacitiesPDF reader view and annotations for Believers, Version History, more calendars, and AI image generation
- 16d agoJoplinWhat's new in Joplin 3.7 ⚡
- 1mo agoCapacitiesCapacities Pro+ and Believer+
- 1mo agoCapacitiesRecent continuous improvements — polish and reliability
- 2mo agoCapacitiesCapacities API 2.0, Weblink Analysis, and Presentation Mode ⚡
- 2mo agoCapacitiesAI Chat Connectors 2.0 + Many improvements
- 4mo agoJoplinWhat's new in Joplin 3.6
- 6mo agoJoplinIntroducing our Warrant Canary
- 7mo agoJoplinJoplin will come preloaded on the HMD Terra M
- 8mo agoJoplinWhat's new in Joplin 3.5
Frequently asked questions
What is the difference between Capacities and Joplin?
Both compete on the same themes — ai-integration — within Collab. Joplin is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Capacities better than Joplin?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Joplin is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Collab products to evaluate alongside.
What are the best alternatives to Capacities?
Top Capacities alternatives in Collab are ranked by recent ship velocity. Browse the "Capacities alternatives" section above for the current picks, or visit /alternatives/capacities for the full list with editorial commentary on each.
What are the best alternatives to Joplin?
Top Joplin alternatives in Collab are ranked by recent ship velocity. Browse the "Joplin alternatives" section above for the current picks, or visit /alternatives/joplin for the full list with editorial commentary on each.