Bionic now has a built-in interactive canvas.
Create Excalidraw diagrams both you and Bionic can see and edit.
Collaborate on mock ups, system design, process maps and ask Bionic to implement them.
Qwen3.8-27B, up to 144 tok/sec on M5 Max.
Let that sink in. ⚡️✨🚀
Excited to partner with @inco_ai to bring you their Splash inference engine in LM Studio on day 0!
Get it running now: lmstudio.ai/blog/splash-engi…
Qwen3.8-27B at 144 tok/s on an M5 Max MacBook Pro ⚡
Meet Inco Splash: our open-source inference engine, built around the model and around Apple silicon.
Up to 3× the decode speed of Ollama, 2× oMLX, and almost 4× when an agent fans out into sub-agents.
Head to Settings > Runtime > Experimental backends to get the Splash engine. Download supported models by searching "incoai".
Recommended specs:
- M3 or newer Mac on macOS 26.4
- 36GB+ RAM
Introducing Introspection and Session References
Bionic agent can now search through its own session history, making it much more capable of handling long-term context and multiple compactions.
You can also reference other sessions directly in the composer using an @ mention!
Introducing local realtime voice transcription.
Speak freely to your agents, without sending your voice data to the cloud.
Available for Mac, Windows - and now also Linux!
Voice transcription is available for Apple Silicon Macs and PCs with NVIDIA GPUs. AMD support is in the works!
Full Bionic 1.1.3 changelog:
lmstudio.ai/changelog/bionic…
🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient.
🔹 Introducing the smallest model in our new architecture family, with native visual understanding.
🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models.
1/6
Rápidos. Lástima que pocos saben qué es Bionic 🤣
Es el Codex / Claude Code de LM Studio que hace tareas agénticas con modelos locales (o cualquiera que le conectes)
Linux just got a local AI upgrade. 🐧
Congrats to @lmstudio on bringing Bionic to Linux, making it even easier to run local agents and open models on NVIDIA hardware.
GLM-5.3 is now open-weight.
Our most capable model for agentic coding and cyber defense is now available to download, run, and customize.
Weights: huggingface.co/zai-org/GLM-5…
Tech blog: z.ai/blog/glm-5.3
Introducing Auto Review for tool requests
Bionic uses AST parsing, command matching, and a reviewer subagent to auto-approve shell tool requests
In our team's internal use, ~82% of commands are approved before LLM review
lmstudio.ai/blog/how-auto-re…