LM Studio (@lmstudio) introduced Introspection and Session References for its Bionic agent: the agent can search its own session history to stay useful after many compactions, and the composer lets you @-mention other sessions to continue work across chats.
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GitHub Next open-sourced LocalJev (github.com/githubnext/localjev): a morning build of a “poor man’s Jev” for teammates without TypeSafe Jev access. It exposes a Jev-compatible POST /v1/systemone API in Bun/TypeScript, defaults to oMLX-backed local models such as DiffusionGemma, and reports evals across DiffusionGemma, Qwen MoE, Gemma 4 MoE, and Gemma 4 e4b/e2b (benchmark report in-repo). The LocalJev server works with normal Jev client wrappers, but probabilities are model-reported rather than logit reads—calibrate before consequential use.
LM Studio announced a day-0 partnership with Inco to bring the Splash inference engine into LM Studio. They cite up to about 144 tok/s for Qwen3.8-27B on M5 Max, with setup docs at lmstudio.ai/blog/splash-engine. Splash was already open-sourced by Inco; this puts the Apple-silicon-optimized stack inside LM Studio so local desktop users do not have to assemble the engine separately.
Inco AI open-sourced Splash, a local inference engine built for Apple silicon and models like Qwen3.8-27B. On an M5 Max MacBook Pro it reports about 144 tok/s—up to 3× Ollama, 2× oMLX, and nearly 4× when an agent fans out sub-agents. LM Studio shipped day-0 support under Settings > Runtime > Experimental backends.
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