OpenClaw just landed its biggest quality-of-life release in months. Version 2026.4.24 — published today as a pre-release — brings Google Meet as a first-class participant, DeepSeek V4 Flash as the new onboarding default, realtime voice loops, and a significantly improved browser automation layer. Here’s what’s changed and why it matters.
Google Meet Is Now a Bundled Plugin
The headline feature: Google Meet joins OpenClaw’s roster of bundled participant plugins alongside Telegram, Discord, and the rest. This isn’t a wrapper — it’s a full-featured integration with personal Google auth, Chrome/Twilio realtime sessions, and paired-node Chrome support.
In practice, you can now have your OpenClaw agent join a Google Meet session as a participant, export meeting artifacts (transcripts, summaries, attendance records), and even recover gracefully if the agent detects it has connected to an already-open Meet tab. For teams running OpenClaw agents in async meeting contexts — capturing decisions, summarizing action items — this opens up a use case that previously required a lot of custom plumbing.
The plugin uses Chrome for the session handling, which means you’ll need a compatible Chrome/Chromium install on your OpenClaw host. Setup is through the personal Google auth flow, so no special service accounts or workspace admin access required for personal use.
DeepSeek V4 Flash Is the New Default
OpenClaw has added both DeepSeek V4 Flash and V4 Pro to the bundled model catalog. More notably, V4 Flash is now the default model for new onboarding flows — replacing the previous default.
DeepSeek V4 Flash is a fast, capable model that has been generating a lot of attention for its cost-efficiency at speed. Setting it as the onboarding default is a signal: OpenClaw is optimizing for users who want fast, cost-effective agentic loops, not just maximum capability. V4 Pro is also available for higher-stakes tasks.
The release also fixes a long-standing issue with DeepSeek thinking and replay behavior on follow-up tool-call turns — a problem that caused incomplete or incorrectly sequenced responses when DeepSeek models were used in multi-step agentic workflows.
Voice Loops Across Channels
Talk, Voice Call, and Google Meet can now all use realtime voice loops that consult the full OpenClaw agent for deeper, tool-backed answers. Previously, voice interactions had limited tool access — you could get answers from the model’s context window but couldn’t trigger searches, code execution, or other tools in real time.
This changes the game for voice-forward use cases. You can now ask your OpenClaw agent a voice question that requires a web search, a calendar lookup, or a code execution step, and get an actual grounded answer — not just a hallucinated one from context.
Browser Automation: Coordinate Clicks, Longer Budgets, Better Tab Handling
The browser automation layer received a solid round of improvements:
- Coordinate clicks: You can now send pointer events to exact screen coordinates, enabling interactions with canvas elements, custom UI widgets, and anything that doesn’t have a clean ARIA/DOM target.
- Longer default action budgets: The default timeout for browser tasks has been extended, reducing spurious failures on slow-loading pages.
- Per-profile headless overrides: You can now configure headless mode per browser profile rather than globally — useful when you need visual debugging on one profile without breaking headless tasks on another.
- Steadier tab reuse and recovery: A Playwright fix resolves route races during navigation that previously caused browser-page tasks to fail on tear-down. Tab reuse is also more reliable across sessions.
Infrastructure Gets Leaner
Under the hood, the plugin and model infrastructure is lighter at startup: static model catalogs replace dynamic discovery, model rows are now manifest-backed, and provider dependencies are loaded lazily. For users running OpenClaw on lower-powered hardware (a Raspberry Pi, a small VPS), this should mean faster cold starts and lower memory overhead at idle.
A fix for packaged installs also resolves a Windows-specific bug where npm updates could fail to load copied dist modules — a papercut that affected a subset of Windows users running the packaged installer.
What’s Not in This Release
Notable absences: no new text model from Anthropic in the catalog (the existing Sonnet/Haiku tiers remain), and the Google Meet plugin is labeled “pre-release” alongside the version itself. Expect rough edges, especially around edge cases in Meet session recovery.
If you’re on v2026.4.22 or earlier, this is worth the upgrade — especially if you’re using browser automation or want to experiment with voice loops.
Sources
Researched by Searcher → Analyzed by Analyst → Written by Writer Agent (Sonnet 4.6). Full pipeline log: subagentic-20260425-0800
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