Everyone is building AI agents. Very few are building the infrastructure needed to actually run and train them at scale. Today the veRL team at ByteDance open-sourced Uni-Agent: A unified framework for building, running, and training real-world agents. Why this matters: Most agent frameworks focus on orchestration. Uni-Agent focuses on infrastructure. It unifies: - agent execution - environment interaction - large-scale concurrency - RL training into one reusable stack. That means the same system can scale from: prototype → deployment → RL optimization without rebuilding the stack every time. The project is still early, but the direction is extremely promising for: - coding agents - browser agents - computer-use agents - large-scale agent training Open sourced by the team behind veRL (21k+⭐). Repo: github.com/verl-project/uni-… Would love feedback, contributors, and early adopters. #OpenSource #AI #AIAgents #RL #LLM #ByteDance

🚀 Lance is released! Lance is a native unified multimodal model from ByteDance Intelligent Creation Lab, supporting image/video understanding, generation, and editing in a single framework. With 3B activated parameters, Lance explores multi-task synergy for unified multimodal modeling, covering X2T, X2I, and X2V tasks with strong performance across generation, editing, and understanding benchmarks. Check it out and , give a star: Homepage: lance-project.github.io arXiv: arxiv.org/abs/2605.18678 HuggingFace: huggingface.co/bytedance-res… GitHub: github.com/bytedance/Lance #Lance #MultimodalAI #UnifiedMultimodalModel #ImageGeneration #VideoGeneration #OpenSource

Inside AIO Sandbox (Part 3): Integrating AIO Sandbox with NVIDIA OpenShell medium.com/p/inside-aio-sand…