FIELD NOTES TOPIC

framework development

2 notes, newest first.

  1. OpenForgeRL: Train Harness-native Agents in Any Environment

    Source note ·

    OpenForgeRL is an open-source framework for training AI agents using various inference harnesses like Claude Code, Codex, OpenClaw, etc., in diverse environments. The framework allows end-to-end training with standard…

  2. Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy

    Source note ·

    Researchers present OmniAct, a framework that aims to advance the development of persistent embodied agents in unstructured environments. The framework integrates a multimodal semantic planner for skill routing, an…