Meta releases Muse Glimmer, a 30B open agent model built to run locally

Meta Superintelligence Labs has released Muse Glimmer, an open-weight 30-billion-parameter model designed to run always-on AI agents locally on consumer computers. The model combines tool use, long-horizon reasoning, failure recovery, image understanding and long context, while quantization and a DFlash speculative-decoding companion reduce its memory footprint and speed up generation. Meta says the model compares strongly with similarly sized alternatives, though its own evaluation also shows mixed results across individual benchmarks and safety measures. The release matters because capable local agents could work offline and keep more personal context on-device, while giving developers open weights and integrations for adapting the model to their own workflows.