Jitsi Meet Desktop vs Kaltura
Side-by-side trajectory, velocity, and editorial themes.
Jitsi Meet Desktop tracks Electron upgrades with the occasional UX add — latest: a two-window layout.
Jitsi Meet Desktop ships about quarterly, with releases dominated by Electron upgrades and small bridging features into new desktop OS APIs. The latest 2026.5.0 added a two-window layout and laid Mac groundwork for desktop audio capture. The preceding 2026.x window was Electron 39 → 41, an OS-compatibility cut (macOS 11 dropped), and PIP plumbing tied to a new jitsi-meet PIP API.
This is a thin Electron wrapper around jitsi-meet, and the cadence reflects that — most engineering tracks Electron's release train and adds desktop-only capabilities (screensharing via native getDisplayMedia, PIP, pipewire camera, soon desktop audio). The two-window layout is the most novel user-facing change in the recent window. Mac desktop audio capture is groundwork the next release should turn into a shipped feature.
Mac desktop audio capture lands as a usable feature in the next release; Electron 42 follows. No major UI redesign signaled.
Kaltura goes all-in on agentic AI video — Event OS, avatar roleplay, and an open-sourced AI Agent Skills suite.
Kaltura is in the middle of a sharp pivot toward agentic AI for rich-media platforms. In a single month it has open-sourced an AI Agent Skills suite (so any third-party AI agent can build rich-media experiences), introduced Event OS for AI Agents (natural-language event creation and orchestration), unveiled an avatar-powered roleplay solution for enterprise training, and is presenting an Agentic Revenue Engagement Platform at Forrester. The releases are tightly aligned around one thesis.
The arc is clearly from a video platform into an agentic-AI orchestration layer that happens to specialize in video. Kaltura is staking out the position that video, events, training, and revenue engagement should all be run through AI agents talking to its platform — and is willing to open-source the agent-skills layer to make Kaltura the default endpoint for rich-media agents.
Expect a paid agent runtime or pricing model on top of the open-sourced skills, deeper avatar/roleplay options for enterprise L&D, and Event OS plug-ins for major collaboration platforms (Teams, Slack, Google Workspace). The next big tell will be how serious enterprise adoption of Event OS becomes versus staying a demo-stage capability.
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