Releasesby Ibiscline Desktop v0.0.46
UpdateyesterdayUnverifiedAdded Oct 14, 2026
- A new outline along the left edge of the conversation lists each prompt you sent. Hover a mark to preview the prompt, and click it to jump there Plugins that fail to load or error during a session now show a status line in the chat naming the plugin and the error, instead of silently losing their tools You can cancel a Cline Cloud sign-in while it is...
Topics: LLMs, Governance, Observability
More cline releases
Every cline releaseDesktop v0.0.45
- SSH remotes start again. Since 0.0.38, connecting to an SSH environment failed with SyntaxError: Invalid character On SSH environments, the git branch label no longer opens two new SSH logins every 5 seconds.
Desktop v0.0.44
- Mermaid diagrams in chat now render inline as interactive diagrams, with copy, download, fullscreen, and pan/zoom. Links inside a diagram go through the same confirmation dialog as other links, showing the real destination before anything opens If the Cline Hub connection drops mid-chat, the app now reconnects your session automatically for up to a minute...
Desktop v0.0.42
- New /compact slash command. It summarizes the conversation so far to free up context. The summary uses your session's provider settings and is not sent to the model as a prompt Connectors is now the first and default tab in Customize.
Desktop v0.0.41
- Cloud sessions can now use the same models as Cline on the web. The model picker lists Cline Usage-Billing, ClinePass, and ClineFree models (organization accounts don't get ClinePass), instead of only Cline.
Desktop v0.0.43
- Existing users get a one-time What's new dialog introducing Connectors, with connector logos, a clickable example prompt, and an Open Connectors button. You can replay it from Settings → About → Show what's new
Desktop v0.0.40
- Custom providers added with Add Provider now work when you run a task. They showed up in the provider and model pickers but failed with Unknown or disabled provider New chats remember whether you last used Cloud or Local, and which Cloud model you picked, instead of always going back to Local.
Desktop v0.0.39
- On Linux with the proprietary NVIDIA driver, the app window no longer opens blank. The app now turns off WebKitGTK's DMA-BUF renderer when it detects the NVIDIA driver.
Desktop v0.0.38
- Linux on ARM is now supported: each release ships arm64 .deb and .rpm packages alongside the x64 ones, and they auto-update like the others Web search settings moved from General to Customize → Tools, next to the other built-in tools.
Also shipped on Oct 13, 2026
Cline in October 2026What's included:
- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.
The AI.AGG function is generally available (GA)
The AI.AGG function is generally available (GA). You can use this function to semantically aggregate unstructured input data based on natural language instructions.
BigQuery generative AI functions now support the gemini-4-argon model
BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .
Gemini 4 Argon in CodeMender (Preview)
CodeMender now supports Gemini 4 Argon. To use it, pass --model gemini-4-argon to cm find , cm verify , or cm fix . Gemini 3.8 Flash remains the default model. For more information, see Specifying the model .
Gemini 4 Argon and Gemini 4 Argon Cyber Permissive
Gemini 4 Argon ( gemini-4-argon ) is available in General Availability (GA) . Gemini 4 Argon is Google's frontier model that excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.
On-demand state repartitioning is now generally available
On-demand state repartitioning is now generally available. You can resize the number of shuffle partitions for a stateful Structured Streaming query or Lakeflow pipeline without losing checkpoint state. See On-demand state repartitioning for stateful streaming queries .