Mattermost
Mattermost v11.11 adds data spillage exposure tracking as v12.0 breaking changes loom
A side-by-side editorial comparison of Trilium Notes and Joplin — release velocity, themes, recent moves, and the top alternatives to consider.
The TriliumNext fork spent its early betas making the app trustworthy to install
Three beta releases from early 2025. The work is dominated by distribution and access concerns: signed Windows binaries obtained through a donated EV certificate, signed macOS builds, multi-factor authentication that required a database version bump, basic right-to-left content support, and repaired migration paths from the original Trilium. Nothing has been published to this feed since March 2025.
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.
Three beta releases from early 2025. The work is dominated by distribution and access concerns: signed Windows binaries obtained through a donated EV certificate, signed macOS builds, multi-factor authentication that required a database version bump, basic right-to-left content support, and repaired migration paths from the original Trilium. Nothing has been published to this feed since March 2025.
These are the problems a fork inherits rather than chooses. Before adding features, the project had to make installs pass platform trust checks, let users migrate off the predecessor without an intermediate upgrade, and add authentication a self-hosted note store is expected to have. It is groundwork, done in the open, with contributors credited by name.
There is not enough recent activity to predict the next release. The feed has been silent for over a year, so whether the beta line continued elsewhere is the open question.
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.
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 Trilium Notes or Joplin.
Mattermost v11.11 adds data spillage exposure tracking as v12.0 breaking changes loom
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See all Trilium Notes alternatives → · See all Joplin alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — note-taking — within Collab. Joplin is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 0.0), 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 Trilium Notes alternatives in Collab are ranked by recent ship velocity. Browse the "Trilium Notes alternatives" section above for the current picks, or visit /alternatives/trilium-next for the full list with editorial commentary on each.
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.