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SiYuan v3.8.4 beta cycle adds agent-controlled database fields, MiniMax image gen, and skill file management
A side-by-side editorial comparison of Immich and Joplin — release velocity, themes, recent moves, and the top alternatives to consider.
Immich's v3.2 RC ships a new search UI and face clustering, advancing self-hosted photo discovery.
Immich is in active release cadence: v3.0 landed workflows, plugins, mobile editing, HLS streaming, and OCR; v3.2 is now in its third RC with a new search UI, face cluster groups, and a rebuilt search API. The RC turnaround pace suggests the team is in cleanup mode ahead of a stable release. It's a self-hosted Google Photos alternative with a large community of contributors across server, mobile, and web.
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.
Immich is in active release cadence: v3.0 landed workflows, plugins, mobile editing, HLS streaming, and OCR; v3.2 is now in its third RC with a new search UI, face cluster groups, and a rebuilt search API. The RC turnaround pace suggests the team is in cleanup mode ahead of a stable release. It's a self-hosted Google Photos alternative with a large community of contributors across server, mobile, and web.
The product is moving from Google Photos parity toward differentiation through extensibility and AI-assisted organization. Workflows and plugins opened the automation surface in v3.0; the new search UI and cluster groups in v3.2 close the discovery gap. That combination — automation plus better semantic search — is the basis for a self-hosted photo library that replaces cloud products in daily use rather than just archiving them.
v3.2 stable will ship within days given the current RC pace. After that, expect the workflow engine to get additional triggers and actions, and possibly AI-assisted album creation tied to the new cluster groups and search API.
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 Immich or Joplin.
SiYuan v3.8.4 beta cycle adds agent-controlled database fields, MiniMax image gen, and skill file management
GitHub Copilot gets cost-aware inference tiers as enterprise AI tooling tightens across the platform.
Nextcloud runs three LTS branches in parallel, shipping bug fixes and quiet performance wins.
Mattermost builds out its thought-leadership case for regulated-industry AI while v12.0 deprecations signal a platform break
Teable adds Composio integration and Scheduled Routines, pivoting from spreadsheet to agentic workflow platform.
Happeo doubles down on SEO content to own intranet search terms for mid-market buyers.
See all Immich alternatives → · See all Joplin alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Immich and Joplin are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). 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. Immich and Joplin are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Collab products to evaluate alongside.
Top Immich alternatives in Collab are ranked by recent ship velocity. Browse the "Immich alternatives" section above for the current picks, or visit /alternatives/immich 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.