AI Models
Muse Glimmer
Open-weight multimodal agent model built for local autonomous workflows
Open sourceRuns in the cloudEditors pick
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Open Source
Free
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Web
Hosted app
Category
AI Models
22 tools
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Last updated
Oct 24
Listing updated
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Visual UI navigation and screenshot interpretation
Parse desktop application screenshots, diagrams, and web interfaces to drive GUI-based autonomous workflows.
Pricing checked Oct 2026
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About Muse Glimmer
Muse Glimmer is an open-weight, 30-billion parameter multimodal agent model developed by Meta Superintelligence Lab and distilled from the larger Muse Spark. Designed from the ground up for autonomous task completion on local hardware, Glimmer integrates vision perception directly into its causal transformer backbone.
Unlike traditional conversational LLMs, Muse Glimmer is optimized for extended agent loops: sustained multi-step planning, strict schema-based tool calling, visual screenshot interpretation, and autonomous failure recovery when environmental tools return unexpected errors.
- Native perception encoder allows interleaved image and text understanding
- Strong autonomous failure recovery and structured schema compliance
- Permissive Apache 2.0 license encouraging commercial and open-source deployment
- Requires quantized 4-bit configurations to fit on 16GB consumer hardware
- Full vision inference adds modest latency over text-only inference
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