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LM Studio 博客——本地 AI 模型。
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Bionic 智能体现已支持技能功能

LM Studio 的 Bionic 智能体现在支持创建、使用和安装 Agent Skills。技能以 文件格式存储,遵循 Agent Skills 行业标准,可通过 @ 语法在对话中调用。支持从 Codex、Claude Code 等其他应用导入已有技能,也可通过对话让 Bionic 自动生成技能。
评论点赞收藏23 小时前

在 LM Studio Bionic 中运行 Kimi K3

MoonshotAI 的 Kimi K3 模型已集成到 LM Studio Bionic。用户可在本地直接运行该模型,无需云端部署。此更新支持本地大模型推理,适合开发者在离线环境下测试和微调。
评论点赞收藏21 天前

LM Studio 0.4

Server deployment, parallel requests with continuous batching, new REST API endpoint, and refreshed application UI
评论点赞收藏201 天前

LM Studio 0.3.32

GLM 4.5 tool calling, olmOCR-2, improved image input handling in /v1/responses, Flash Attention defaults for Vulkan/Metal, and bug fixes.
评论点赞收藏271 天前

LM Studio 0.3.31

Image input improvements, MiniMax M2 tool calling, Flash Attention default for CUDA, new CLI runtime management, macOS 26 support, and bug fixes.
评论点赞收藏286 天前

NVIDIA DGX Spark

LM Studio now ships for Linux on ARM and launches with NVIDIA DGX Spark — a tiny but mighty Linux ARM box.
评论点赞收藏307 天前

LM Studio 0.3.28

Default model‑variant selection in My Models, better RAM/VRAM estimates (mixed quantizations, mislabeled params, non‑transformers), and bug fixes.
评论点赞收藏320 天前

LM Studio 0.3.19

ROCm / Linux support for AMD 9000 series GPUs, bug fixes for model loading, UI improvements, and auto-deletion of engine dependencies to save disk space.
评论点赞收藏392 天前

LM Studio 0.3.18

MCP bug fixes and improvements, OpenAI compat API new streaming options and bug fixes, improved tools calling for Mistral models, and UI touchups.
评论点赞收藏403 天前

LM Studio is free for use at work

Starting today, it's no longer necessary to get a commercial license for using LM Studio at work. No need to fill out a form or contact us. You and your team can just use the app!
评论点赞收藏405 天前

MCP in LM Studio

New in LM Studio 0.3.17: Model Context Protocol (MCP) Host support. Connect MCP servers to the app and use them with local models.
评论点赞收藏418 天前

LM Studio 0.3.16

Public Preview of community presets, automatic deletion of least recently used Runtime Extension Packs, and a way to use LLMs as text embedding models.
评论点赞收藏451 天前