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ZHangZHengEric/README.md
Eric ZZ — AI, large language models, agent systems.

I research AI, large language models, and agent systems.

I explore how models reason, use tools, and act across modalities. Through Sage and LingModel, I connect research questions with working systems: agent execution, persistent context, and multimodal architectures.


Selected work

Project Focus
Sage An open-source agent framework for complex tasks. My current focus is v2: the runtime, tools, and the applications built around it.
NowHow A desktop learning agent built with Flutter and Sage. Turns real tasks into guided practice, interactive explanations, and feedback.
LingModel Experiments in multimodal model architecture and training, with separate engineering and research tracks.

Research interests

  • Agent infrastructure — execution lifecycles, tool interfaces, context, and persistent sessions.
  • Large language models — model architecture, training, context, and reasoning.
  • Multimodal systems — connecting language, visual generation, and agent behavior.


Explore Sage   /   Projects   /   Website

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  1. Sage Sage Public

    An RSI Agent Harness for running, evaluating, and evolving agents—with tools, skills, MCP, stateful execution, and multi-agent workflows.

    Python 1.2k 116

  2. NowHow NowHow Public

    An open-source desktop learning agent. Guided practice, interactive explanations, and feedback, built with Flutter and Sage.

    Dart

  3. LingModel LingModel Public

    Multimodal model architecture and training experiments, from engineering baselines to agent research.

    Python