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Governance and cross-workspace plumbing, not new AI surface
A side-by-side editorial comparison of Logseq and SiYuan — release velocity, themes, recent moves, and the top alternatives to consider.
Logseq ships its first 2.0 beta, betting its future on a database backend.
Logseq spent over a year in a slow beta cadence on the file-based 0.10.x line, shipping mostly Electron bumps, embed fixes, and one security patch. Today it released the first public beta of 2.0, rebuilt on a new database (DB) storage engine, and confirmed the project is splitting into two versions. This is the payoff of a long-promised rewrite.
SiYuan's v3.8.0 train restates one AI feature set across seven consecutive builds.
SiYuan is deep in a v3.8.0 preview train — four alphas and three betas since August 1 — and every build republishes the same four headline features: an AI Agent, semantic search over AI embeddings with reranking, Model Context Protocol support, and OIDC authentication. Two pairs of these builds carry byte-identical published notes, so the per-build delta is not visible from the feed at all. What does vary is a long enhancement list covering sync, mobile platforms and database views.
Logseq spent over a year in a slow beta cadence on the file-based 0.10.x line, shipping mostly Electron bumps, embed fixes, and one security patch. Today it released the first public beta of 2.0, rebuilt on a new database (DB) storage engine, and confirmed the project is splitting into two versions. This is the payoff of a long-promised rewrite.
The DB rewrite moves Logseq off Markdown-file storage toward a database model, the prerequisite for the faster queries, reliable sync, and multi-device support the file-based app has struggled to deliver. Expect the 0.10.x line to slide into maintenance while 2.0 stabilizes. The formal split into two versions signals Logseq intends to keep supporting local Markdown graphs rather than force-migrate everyone.
Near-term releases will be rapid 2.0.x betas hardening the DB engine and the Markdown-to-DB migration path; a stable 2.0 hinges on how cleanly existing graphs import.
SiYuan is deep in a v3.8.0 preview train — four alphas and three betas since August 1 — and every build republishes the same four headline features: an AI Agent, semantic search over AI embeddings with reranking, Model Context Protocol support, and OIDC authentication. Two pairs of these builds carry byte-identical published notes, so the per-build delta is not visible from the feed at all. What does vary is a long enhancement list covering sync, mobile platforms and database views.
The release notes are cumulative rather than incremental, which makes the train read as a single release delivered in installments. Beneath the repeated feature banner the actual work is platform breadth: LAN peer-assisted acceleration for cloud sync, audio recording on Android and HarmonyOS, custom font import on mobile, and configurable Stable, Beta and Alpha update channels. Reaching beta.3 within ten days of the first alpha says the train is converging.
A v3.8.0 stable release looks close given the move from first alpha to third beta inside ten days. The update-channel setting arriving in this same cycle suggests the project intends to keep running parallel preview streams once it ships.
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 Logseq or SiYuan.
Governance and cross-workspace plumbing, not new AI surface
A nightly canary train where the AI platform work hides between dependency bumps
Self-hosted dashboard that finished its feature arc and stopped shipping in 2023.
A self-hosted RSS reader that now spends most of its release notes on security.
Jellyfin renumbers to 12.0 and spends the whole cycle paying down its backend rewrite.
Teable is spending its release budget making bring-your-own-database failures survivable.
See all Logseq alternatives → · See all SiYuan alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. SiYuan is currently shipping more aggressively (velocity 6.3 vs 3.8), with 0 editorial sparks in the last 30 days against 1. 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. SiYuan is currently shipping more aggressively (velocity 6.3 vs 3.8), with 0 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Collab products to evaluate alongside.
Top Logseq alternatives in Collab are ranked by recent ship velocity. Browse the "Logseq alternatives" section above for the current picks, or visit /alternatives/logseq for the full list with editorial commentary on each.
Top SiYuan alternatives in Collab are ranked by recent ship velocity. Browse the "SiYuan alternatives" section above for the current picks, or visit /alternatives/siyuan for the full list with editorial commentary on each.