Lynx Roadmap 2026

All Posts
April 13, 2026
Shouqun Liu
Shouqun LiuEngineering Manager @ Lynx

Last year, we open-sourced the Lynx framework under TikTok's sponsorship. Since then, we've received valuable feedback from developers and the broader community. We also shared our 2025 roadmap, focusing on maintaining a consistent release cadence, expanding multi-platform support, and opening more core capabilities.

With the continuous releases from v3.2 to v3.6, Lynx has delivered several important improvements:

  • Full support for the Web and OpenHarmony.
  • Expanded Lynx UI coverage and improved native API stability.
  • A growing ecosystem of community projects such as miso-lynx, Vue Lynx, and more.

At the same time, we recognize that building a great developer framework is a long-term effort, especially in the rapidly evolving AI era. Today, we're excited to share the Lynx open-source roadmap for 2026.

1. Faster and More Predictable Release Cadence

Over the past year, Lynx followed a bi-monthly release cycle. Starting in mid-2026, we will move to a monthly release cadence.

During development and releases, we will continue improving:

  • Release notes and upgrade guides.
  • Stability guarantees for core APIs.
  • Long-term maintainability across versions.
Stable Version3.83.94.04.14.24.34.44.5
Release Plan2026/052026/062026/072026/082026/092026/102026/112026/12

2. Embrace AI

AI is fundamentally reshaping how software is built. We believe that building in the open is essential for a framework to keep pace with AI and to engage with it natively.

This year, we will focus on delivering more stable and well-structured APIs, along with high-quality, LLM-friendly documentation in the lynx-website repository, Agent Skills, tooling, and examples.

We will also explore generative UI solutions with Lynx, as we see this as a key direction for cross-platform frameworks in the AI era. Our goal is to make Lynx one of the most AI-ready cross-platform frameworks.

3. Committed Multi-platform Support, Including PC

Multi-platform support remains a core mission, not only in rendering, but also across capabilities, APIs, and the overall developer experience.

We now have official support for Android, iOS, the Web, and OpenHarmony. We also have an open-source rendering engine, Clay, for PC platforms including macOS and Windows.

This year, we'll continue to improve the production readiness of PC platforms and deepen integration with industry ecosystems, including Electron compatibility scenarios through Lynxtron.

4. Production-ready Infrastructure Enhancement

Following the open-source release, we received extensive feedback from developers who want more productized solutions for building cross-platform applications with Lynx quickly.

To address these needs, TikTok has open-sourced Sparkling. We will continue to enhance capabilities such as device APIs and routing, and provide application scaffolding to streamline development.

At the framework level, we will keep expanding a rich set of UI capabilities, including Lynx UI, animations, and MTS features. Meanwhile, we will further optimize runtime efficiency and overall performance across supported platforms, and open up more tools for performance analysis and optimization.

Together with Lynx DevTool, we aim to build a one-stop experience for cross-platform application development, debugging, and deployment.

5. Strengthen Engagement with the Community

Cross-platform frameworks represent a long-term, evolving area driven by the open-source community. Lynx itself has been deeply inspired by this ecosystem.

We will strengthen collaboration with the broader ecosystem, including projects such as React, Vue.js, and Motion, and continue improving MiniApps support to make it a fully production-ready solution.

In addition, the Lynx toolchain is built on top of Rspack. We will keep working closely with the Rspack community to deliver high-performance Rspeedy toolchains and a better developer experience.


We also have open positions, and we welcome you to join us on the Lynx journey. Click here to apply.

Except as otherwise noted, this work is licensed under a Creative Commons Attribution 4.0 International License, and code samples are licensed under the Apache License 2.0.