Wangjie Su Bjergsen

Wangjie Su Bjergsen

Peking University

I am Wangjie Su, an undergraduate at Peking University pursuing a B.S. in Theoretical and Applied Mechanics and a double degree in Intelligent Science and Technology. My current work centers on reliable AI agents that can use domain tools, preserve state, recover from failures, and complete long-horizon scientific and industrial workflows.

I am currently working on AI agents for fusion-energy simulation, combustion modeling, and general-purpose agent runtimes. I am also actively seeking internship opportunities in AI agents, agent harness and runtime infrastructure, and embodied intelligence—especially work connecting long-horizon agents with scientific workflows, multimodal perception, world models, or physical action.

谁终将声震人间，必长久深自缄默；谁终将亮如闪电，必长久如云漂泊。——尼采

🔬 Research Interest

  • Reliable AI Agents and Harnesses: long-horizon memory and context, tool and knowledge integration, multi-agent orchestration, permission control, failure recovery, and evaluation.
  • Scientific Workflows: agents that plan, execute, inspect, and reproduce simulation or experimental pipelines while keeping state and tool traces auditable.
  • Embodied and Multimodal Agents: grounding ReAct-style reasoning in multimodal perception, sensor streams, world models, and physical action to form perception–planning–action–feedback loops.

🔥 News

  • 2026.07: Joined Hangzhou Yuanxi Technology as an independent project lead and one of the startup’s first technical team members.
  • 2026.05 - now: Contributing to oh-my-openagent, from a Core–Adapter architecture and session-scoped fallback protocol to ongoing work on the monorepo refactor.
  • 2026.03: Joined the AI + Fusion Energy Series Project at Peking University.
  • 2025.09: Received the National Scholarship and was named a Merit Student of Peking University.

📖 Education

  • 2023.09 - now, B.S. in Theoretical and Applied Mechanics, Peking University.
  • 2024.09 - now, Double Degree in Intelligent Science and Technology, Peking University.
  • GPA: 3.818/4.0. Full coursework is listed in my CV.

💻 Experience

  • 2026.07 - now, Independent Project Lead and Early Technical Team Member, Hangzhou Yuanxi Technology. Independently designed and implemented ManySelves, a general-purpose capability substrate that defines agent teams as versionable Identity contracts and Skill documents, then realizes them through durable, recoverable execution. Its FastAPI boundary supports controlled study of capability transfer, multi-agent coordination, memory, and recovery across different task workflows and future tasks.
  • 2026.03 - now, Undergraduate Researcher, AI + Fusion Energy Series Project, Xinao Technology Innovation Center, Peking University. Using Nexgent as an experimental harness for long-horizon, recoverable, and auditable fusion-energy simulation workflows. PIs: Prof. Yunfeng Liang and Prof. Songfang Huang.
  • 2025.05 - now, Undergraduate Researcher, Combustion Laboratory, Peking University. Studying multiscale combustion processes and the complementary roles of mechanistic and data-driven models under Prof. Zheng Chen.

🛠 Projects

  • Nexgent: Scientific Agent Harness — A model-agnostic, frontend-neutral agent runtime for scientific workflows, with MCP tool bridging, multi-model routing, workflow orchestration, typed memory, checkpoints, permissions, and recoverable execution.
  • oh-my-opencode (now oh-my-openagent) — Investigated which agent behaviors should remain invariant across Harnesses; proposed a Core–Adapter DAG, a zero-dependency configuration core, and a session-scoped fallback protocol that turn implicit integration logic into portable, testable policy. Preserved existing call sites through re-export shims, validated state-machine boundaries, and continue to help lead the monorepo refactor toward reusable Harness-independent plugins.
  • Where Is My Codex (Flow Rescue) — A computer-graphics course project: a 2D fluid-puzzle game built with Python, Taichi, Position-Based Fluids, GPU/CPU backends, five playable levels, and a Tiled import pipeline.
  • Tiny PyTorch — An AI programming course project implementing tensors, automatic differentiation, neural-network operators, C++/CUDA storage and kernels, cuBLAS acceleration, and end-to-end MLP/CNN training.

📝 Publications

  • No publications yet. Manuscripts and preprints will be listed here as they become available.

🎖 Honors

  • 2025: National Scholarship and Merit Student, Peking University.
  • 2025: Second Prize, Beijing Division, National College Student Mathematical Modeling Competition.
  • 2024: Outstanding Learning Award and Third Scholarship, Peking University.
  • 2024: First Prize, Beijing College Student Mathematics Competition.