ZYR introduces ZYR3.1 with ATP control, ACN agent network, and 1M context

ZYR has introduced ZYR3.1, an AI system designed to execute complex tasks rather than merely responding to prompts. The architecture centers on ATP as the main control center and ACN as the Agent Communication Network.

• ATP plans, monitors agents, tracks progress, detects failures, replans, verifies results, and sends work back.
• ACN connects the system so agents can communicate, share results, and coordinate.
• The system includes MeO plus 10 specialized agents for long-horizon coding and task execution.
• Execution occurs in isolated MicroVMs with verification capabilities.
• An UltraDeep mode is available for serious multi-step work.
• Context vision has been expanded from 512K to 1M tokens.

The goal is to make ZYR3.1 an AI that can actually work through difficult tasks, not just talk about them.