AI Model2026
Provides open-weight, natively multimodal LLM optimized for long-horizon multi-step reasoning and coding/agentic workflows; 816B total / 42B active parameters, 1M-token context window, available as BF16 and NVFP4 checkpoints under the Muse Model License.
AI Image2026
Repackages MOSS-Image model files for ComfyUI, providing int8 and bf16 checkpoints, a Qwen3.5 text encoder and FLUX.2 VAEs to enable layout-aware text-to-image generation with long prompts and bilingual text rendering.
AI Agent Papers2026
Alternates harness and policy optimization so a coding agent uses its own policy to propose harness revisions that target evolving failure modes. Combines harness search (H-step) with RL-based policy updates (P-step), improving resolve rates on multiple coding benchmarks and generalizing out-of-distribution.
AI Model2026
Multimodal Mixture-of-Experts foundation model for long-context agent workloads — supports up to 1M-token contexts and uses aggressive KV-cache compression (FP4 + cross-layer reuse) to reduce memory and storage footprint while improving reasoning, coding and vision benchmark performance.