Moondream releases 3.1-9B-A2B vision-language model with mixture-of-experts architecture
Moondream 3.1 is a vision language model with a mixture-of-experts architecture (9B total parameters, 2B active). It delivers state-of-the-art visual reasoning and detection while staying fast and cheap to deploy. Skills include query, detect, point, and caption, all native and all returning structured output.
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llm-eyes tool lets any blind LLM see via tiny local VLM
A GitHub project called llm-eyes bolts a tiny vision-language model (Qwen3.5-0.8B) onto any machine as a local vision service, enabling text-only models like DeepSeek V4 Flash, Qwen, and Llama to caption images, watch webcams, or read video. It runs on Mac (MLX), PC+NVIDIA (llama.cpp), and DGX Spark, and exposes an OpenAI-compatible API.
Tencent Hy Team releases Hy3, a 295B-parameter MoE model
Tencent's Hy Team released Hy3, a 295-billion-parameter Mixture-of-Experts (MoE) language model with 21B active parameters and a 3.8B MTP layer. The model outperforms similar-sized models and rivals open-source models with 2-5x parameters. It is available on Hugging Face in full (598GB) and FP8 quantized (300GB) versions.
OpenLive launches as open-source live voice and vision AI assistant
OpenLive is an open-source, on-device voice and vision AI assistant that provides real-time speech and sight capabilities. It serves as an open alternative to proprietary services like ElevenLabs, Gemini Live, and OpenAI Realtime, allowing users to bring their own model.
Robbyant releases LingBot-Video, an open model that predicts future frames from action signals
Robbyant released LingBot-Video, an open-weight model that takes a first frame and an action signal to predict subsequent video frames. The model sparks debate on whether such action-conditioned video prediction qualifies as a world model, compared to approaches like Dreamer or JEPA.
AgentMaker: a new Python framework for building LLM agents and multi-agent systems
AgentMaker is a general-purpose Python framework for building LLM agents and multi-agent systems, featuring tools, memory, RAG, context engineering, guardrails, human-in-the-loop, and observability. It is released under MIT license on GitHub and PyPI.