Computer Use Multi-Agent Systems Agent Infrastructure

ENPIRE

Agentic Robot Policy Self-Improvement in the Real World

ENPIRE is a harness framework for coding agents that creates a closed-loop physical feedback workflow for real-world robot policy improvement: reset the scene, execute a policy, verify outcomes, and refine the next iteration.

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newsPRIMARY2026-06-16

ENPIRE launches 8-agent Codex robot fleet for physical autoresearch

ENPIRE launched a physical autoresearch setup that gives eight Codex agents robots, GPUs, and real-world APIs for tasks like zip ties and part sorting. It matters because it moves long-horizon agent evaluation from browser-only loops into embodied experimentation with explicit safety controls.