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 hits 1.0 RC with open-source agent presets, agent-case @mentions, and 20+ new security integrations.
Tracecat is in 1.0 release candidate territory, with RC.1 and RC.2 landing in quick succession. The platform has fundamentally expanded its case management system: agents can now be invoked from case comment @mentions, record their mutations back to cases, and have their runs filtered and linked to specific cases. The MCP catalog, agent presets, and skills were open-sourced in RC.1. The integration catalog grew by 20+ providers in beta.52 — Rippling, Jamf, Microsoft Graph, Databricks, Snowflake, Recorded Future, and others. RC.2 adds SSRF blocking for MCP and LLM requests and AWS role chaining.
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 is in 1.0 release candidate territory, with RC.1 and RC.2 landing in quick succession. The platform has fundamentally expanded its case management system: agents can now be invoked from case comment @mentions, record their mutations back to cases, and have their runs filtered and linked to specific cases. The MCP catalog, agent presets, and skills were open-sourced in RC.1. The integration catalog grew by 20+ providers in beta.52 — Rippling, Jamf, Microsoft Graph, Databricks, Snowflake, Recorded Future, and others. RC.2 adds SSRF blocking for MCP and LLM requests and AWS role chaining.
Tracecat is building toward a security automation platform where agents are primary workflow participants, not external integrations. The agent@mention model in case comments, combined with open-sourcing the MCP catalog for community contributions, signals a bet on collaborative human-agent case investigation rather than just automated runbooks. Dropping pydantic-ai in beta.52 in favor of a custom durable runtime reflects a commitment to owning the agent execution stack — the kind of choice that enables the SSRF blocking and error classification work shipping in parallel.
The 1.0 stable release will ship shortly and will lead with the agent-case interaction model as the headline capability. Post-stable, watch for expansion of the open-source MCP catalog driven by community contributions and a push around the enterprise entitlement and SCIM system for larger SOC teams.
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.
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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. Tracecat is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 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. Tracecat is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 0. 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.