NocoBase
NocoBase adds an AI knowledge base retrieval API, connecting no-code workflows to external knowledge sources.
A side-by-side editorial comparison of Fibery and Tracecat — release velocity, themes, recent moves, and the top alternatives to consider.
Fibery's Custom Apps go GA, completing its turn from work tracker to embedded app platform
Fibery spent the past quarter building and shipping Custom Apps — AI-generated mini-apps buildable inside the platform via Claude, ChatGPT, or MCP. Custom Apps launched publicly in mid-August after two months of experimental iteration. In the same period, Fibery added AI-driven automation creation, a usage dashboard tracking AI and integration consumption, and expanded MCP coverage to rich text editing and direct Custom Apps authoring. The platform is shipping weekly with a mix of headliner features and steady bug fixing.
Tracecat 1.0 stable lands with workspace entitlements, SSRF hardening, and an open-source MCP skills catalog
Tracecat shipped version 1.0.0 stable on September 16, marking the first production-commitment release for the open-source security automation platform. The release draws a commercial boundary via multi-workspace entitlements, blocks SSRF in MCP and LLM agent requests, expands case management with filtered aggregation, and open-sources its preset skills and MCP catalog connectors. The 1.0 stable tag reflects a deliberate signal: the core architecture is settled enough for production commitments.
Fibery spent the past quarter building and shipping Custom Apps — AI-generated mini-apps buildable inside the platform via Claude, ChatGPT, or MCP. Custom Apps launched publicly in mid-August after two months of experimental iteration. In the same period, Fibery added AI-driven automation creation, a usage dashboard tracking AI and integration consumption, and expanded MCP coverage to rich text editing and direct Custom Apps authoring. The platform is shipping weekly with a mix of headliner features and steady bug fixing.
Fibery is repositioning from a flexible project tracker into a platform where teams build custom tooling on top of their own data, without leaving the workspace. The Custom Apps launch — AI-generated, embeddable in documents, now on a versioned platform — is the clearest statement of that direction. MCP integration at multiple layers (rich text, apps, automations) shows Fibery making itself a first-class target in AI-native workflows rather than bolting on a chat widget.
The next likely move is tying Custom Apps directly into Fibery's automation engine — AI-built apps that trigger and respond to automations — which would close the loop between the platform's two main new capability axes. The breaking platform update to Custom Apps in September signals further architectural changes are coming before the feature stabilizes.
Tracecat shipped version 1.0.0 stable on September 16, marking the first production-commitment release for the open-source security automation platform. The release draws a commercial boundary via multi-workspace entitlements, blocks SSRF in MCP and LLM agent requests, expands case management with filtered aggregation, and open-sources its preset skills and MCP catalog connectors. The 1.0 stable tag reflects a deliberate signal: the core architecture is settled enough for production commitments.
Tracecat is following an open-core model—OSS core, paid multi-tenancy—with 1.0 as the line where that separation becomes contractual. The SSRF hardening in agentic contexts and the open-sourced MCP catalog are complementary moves: more trust for AI agents running in production, more community-contributed integrations via MCP. Case management (aggregation actions, rich text comments) is getting substantial investment, pointing toward a more complete SOC workflow tool.
The next major push will be an expanded MCP connector catalog—now that it's open-source, community PRs will accelerate the integration count. Expect deepening case management automation (aggregation actions are just in; richer query and reporting capabilities follow) alongside further commercial tier differentiation.
Other PM 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 Fibery or Tracecat.
NocoBase adds an AI knowledge base retrieval API, connecting no-code workflows to external knowledge sources.
RentRedi embeds AI into its maintenance workflow end-to-end, handling tenant intake and drafting landlord replies.
Camunda 8.10 alpha cycles through broad platform bug fixes while 8.7 gets routine security patches
Asana embeds AI into Slack threads and closes the rich-text gap with Notion
Rize pivots from solo time tracker to agency operations platform with invoicing, profitability reporting, and a ChatGPT integration.
Hive is building shared AI automation infrastructure into the core of its PM platform.
See all Fibery alternatives → · See all Tracecat alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — mcp — within PM. Fibery and Tracecat 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. Fibery and Tracecat 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 PM products to evaluate alongside.
Top Fibery alternatives in PM are ranked by recent ship velocity. Browse the "Fibery alternatives" section above for the current picks, or visit /alternatives/fibery for the full list with editorial commentary on each.
Top Tracecat alternatives in PM are ranked by recent ship velocity. Browse the "Tracecat alternatives" section above for the current picks, or visit /alternatives/tracecat for the full list with editorial commentary on each.