mlx

This release introduces Qwen3.8 Flash Next support for MLX and adds structured output capabilities to mlxrunner. It also includes improvements to cmake compatibility patches and addresses Metal GPU timeouts.

This release introduces several new features for the desktop application, including Claude support and a "Connect your apps" experience. It also includes bug fixes for the MLX runner and general linting improvements.

This release introduces the Claude desktop app and enhances the user experience with polished onboarding and a new 'Connect your apps' feature. It also includes several bug fixes for MLX and the DeepSeek Harness.

This release includes an update to mlx, as detailed in the linked pull request. Further details can be found in the full changelog.

This release includes an update to MLX, finalizes incomplete GLM tool calls, updates documentation regarding retirements, and aligns the Laguna model with upstream llama.cpp.

This release introduces new auto-installation features for models like Claude Code and opencode, alongside numerous stability and performance improvements across GPU handling (Vulkan, CUDA presets) and model loading/generation.

This release focuses on stability and improvements within the MLX backend, including refined model pushing and fixes for inference timeouts and metallib leakage.

This release introduces model batching support and adds NVIDIA TensorRT Model Optimizer import capability. Several minor bugs related to tokenization and desktop app session handling were also resolved.

This release introduces model batching support and fixes several issues related to tokenization and desktop application startup behavior. It also includes support for NVIDIA TensorRT Model Optimizer import.

This release introduces model batching support and TensorRT Model Optimizer import for the mlx backend. It also includes several bug fixes related to tokenization and desktop application startup behavior.

This release introduces Gemma4 support on the MLX backend and updates the ROCm version to 7.2.1 on Linux. It also includes various fixes and improvements for MLX operations and Gemma4 rendering.

This release focuses on performance improvements for MLX (M5 with NAX) and Gemma4 (flash attention), alongside minor fixes for model creation.

This release focuses on performance improvements for MLX (M5 with NAX) and Gemma4 (flash attention), alongside fixes for model creation paths and safetensor loading.

This release focuses on performance improvements for M5 models via NAX integration and enables flash attention support for gemma4.

This release focuses on stability improvements, including fixing a memory leak in mlx and adjusting settings for the Grok model on ggml. It also updates VS Code documentation and hides the VS Code launch option.

This release introduces debug request logging and improves MLX performance with better cache sharing and new format imports. Several stability fixes were also implemented across the desktop app, MLX runner, and CI.

This release introduces significant performance and feature enhancements for MLX backend, including model eviction, quantized embeddings, and fast SwiGLU. It also includes a fix for the web_search legacy path in the cloud proxy.

This release introduces support for the nemotron architecture and includes several performance and logging improvements, particularly for MLX-based operations.

This release introduces support for the Nemotron architecture and includes several performance and stability improvements, particularly around MLX memory usage and logging. It also updates the mlx-c bindings.

This release introduces support for the nemotron architecture and includes several performance and logging improvements, particularly for MLX-based operations. It also updates underlying MLX-C bindings.

This release introduces UI exposure of the server context length and implements OpenClaw onboarding, alongside internal consolidation of the tokenizer.