Meet Together Link: A Free CLI That Runs Open Models Like Kimi K3 and GLM 5.3 Inside Claude Code, Codex, and OpenCode
Published on · Oct 6 · Tue Source · MarkTechPost

Meet Together Link: A Free CLI That Runs Open Models Like Kimi K3 and GLM 5.3 Inside Claude Code, Codex, and OpenCode

Together AI released Together Link, a free MIT-licensed CLI connecting Claude Code, Codex, OpenCode, and desktop AI apps to open models like Kimi K3 and GLM 5.3, with an auto-router that selects a model per session.

Key Takeaways

  • Key Highlight:Together AI released Together Link, a free MIT-licensed CLI connecting Claude Code, Codex, OpenCode, and desktop AI apps to open models like Kimi K3 and GLM 5.3, with an auto-router that selects a model per session.
  • Innovation & Tech:Highlights advancements in Claude, Meet, Together, demonstrating rapid progress in model capabilities.
  • Industry Impact:Reported via MarkTechPost, offering actionable signals for developers and technology leaders.
KeywordsClaudeMeetTogetherLinkFreeCLIThatRuns

Together AI has introduced Together Link, an open-source command-line tool that bridges popular AI coding environments—including Claude Code, Codex, OpenCode, and the Claude and ChatGPT desktop apps—to open-weight models such as Kimi K3 and GLM 5.3. The tool is MIT-licensed and free to use.

Setup requires a single install command, after which an Auto router dynamically selects an appropriate model for each coding session. This removes the need for developers to manually configure endpoints or choose between models when switching tasks.

The release matters because it lowers the barrier to using open models inside workflows that have been tightly coupled to proprietary APIs. Developers who prefer open-weight models for cost, privacy, or licensing reasons can now access them through the same interfaces they already use.

By supporting multiple coding tools and desktop apps from a single CLI, Together Link also reduces fragmentation across the open-model ecosystem, where integration has typically required per-tool adapters or custom wrappers.

The broader impact depends on model performance and routing quality, but the tool signals continued momentum toward making open models practical drop-in replacements within established developer toolchains.

This page provides an editorial summary based on publicly available information. It is not a republished article. Use the source link below for the original report.

Industry Insights & Analysis

As artificial intelligence rapidly evolves, breakthroughs surrounding Claude, Meet, Together, Link are shifting toward scalable, robust real-world implementations.

Driven by both open-source ecosystems and proprietary model architectures, the integration between compute optimization, data engineering, and agentic workflows is accelerating. This development provides a strategic benchmark for upcoming AI tooling and developer workflows.