OpenSage: Next-generation Agentic AI

OpenSage is a self-contained ecosystem for building next-generation AI systems that can self-evolve. It consists of four core components that together enable an end-to-end pipeline for agent construction, deployment, training, and inference.

• OpenSage-ADK: An AI-centric Agent Development Kit that enables AI to self-create agent topologies and synthesize toolsets, rather than relying on hand-crafted agent designs.
• OpenSage-Inference: AGInfer, an LLM inference engine optimized for agentic tasks, featuring long-context and tool-calling support with a modular design for high extensibility across new model architectures.
• OpenSage-Training: A framework for large-scale agentic RL training with seamless integration into popular training frameworks such as AReaL and SLIME, built on the OpenSage agent scaffold and environment infrastructure.
• OpenSage-Env: Integrated with popular environment frameworks (e.g., OpenEnv), with all agent execution running on NitroBox — an OpenSage-developed sandbox environment designed for efficient agentic RL training.