Uses reinforcement learning to improve task generation, solving strategies, and solution rollouts in a continuous loop. This 122B MoE model targets coding, reasoning, and agent tasks, supports a 262K context window, and can run on one 80GB GPU.
Memory layer that lets AI agents remember users and context across sessions.