Nextcloud Talk vs Kaltura
Side-by-side trajectory, velocity, and editorial themes.
Nextcloud Talk is cutting v24 RC with permanent call rooms, advanced noise suppression, and avatar-menu calling.
The project is in the final stretch of a major version: v24.0.0-beta.1 dropped May 4 and v24.0.0-rc.1 followed on May 13. The beta introduced permanent call rooms, calling from the avatar menu, advanced noise suppression, conversation tagging and sorting, and attachment grouping. In parallel, the team is shipping backport-heavy maintenance releases on three older stable lines (21.1.x, 22.0.x, 23.0.x), with signaling and federation reliability fixes dominating the bugfix queue.
v24 is being positioned as a structural upgrade rather than a cosmetic one: presence is no longer tied to ad-hoc rooms, calls are surfaced from the OS-like avatar menu, and audio quality gets a meaningful lift. The maintenance branches show a project under enterprise-style support pressure — federation, signaling, calendar integration, and bot behavior keep generating fixes across multiple supported versions. The combination signals a mature product investing simultaneously in capability and long-tail stability.
v24.0.0 stable is the likely next move within the next two to three weeks given the rc.1 milestone. Expect at least one more rc to absorb regression reports from the beta's larger surface area before the final tag.
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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