AFFiNE
AFFiNE ships stable iOS Share Extension imports while patching editor correctness and selfhost deployment
A side-by-side editorial comparison of Joplin and Readwise — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Readwise ships library-wide Ghostreader with tool-calling: tag, annotate, save across your full archive
Readwise is in an aggressive capability expansion phase centered on its Ghostreader AI layer. The August 7 release shipped Global Ghostreader — AI that searches, tags, annotates, and manages the full user library with granular per-tool permission controls. This followed Readwise 2.0, a complete mobile app rebuild. The team ships meaningful changes at a weekly cadence while simultaneously expanding integration depth across Kindle, Kobo, Twitter, and the MCP server.
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.
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.
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.
Readwise is in an aggressive capability expansion phase centered on its Ghostreader AI layer. The August 7 release shipped Global Ghostreader — AI that searches, tags, annotates, and manages the full user library with granular per-tool permission controls. This followed Readwise 2.0, a complete mobile app rebuild. The team ships meaningful changes at a weekly cadence while simultaneously expanding integration depth across Kindle, Kobo, Twitter, and the MCP server.
Readwise is converting its reading archive into an AI-native knowledge management platform. The move from per-document AI to library-wide AI with tool-calling puts it in direct competition with Notion AI and Mem — but with a moat in years of accumulated highlights and reading history those tools can't replicate. Subsequent releases have been tightening integration quality (Kindle, OpenAI keys, Ghostreader targeting) and expanding mobile parity rather than adding new AI surface.
Mobile-native Global Ghostreader tools are the likely next move — library-wide AI tools currently require web or desktop, while mobile chat only recently launched. Completion of that convergence would unify the platform's AI story across every surface.
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 Joplin or Readwise.
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See all Joplin alternatives → · See all Readwise alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. 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.
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.
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.
Top Readwise alternatives in Collab are ranked by recent ship velocity. Browse the "Readwise alternatives" section above for the current picks, or visit /alternatives/readwise for the full list with editorial commentary on each.