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gaofeng21cn/README.md

Feng GAO

Professor of Medical AI @ SYSU

Tokscale Stats

Building clinically grounded medical AI and One Person Lab: OPL Framework, One Person Lab App, and Foundry Agents for stage-led, auditable knowledge delivery.


OPL Framework
One Person Lab
Runtime, activation, contracts, recovery, and projection.

One Person Lab App
One Person Lab App
Desktop workbench and user-facing product surface.

Agent Foundry
OPL Meta Agent
Build, test, and improve OPL-compatible agents.

Research Foundry
Med Auto Science
Medical research, evidence packages, and manuscripts.

Grant Foundry
Med Auto Grant
Proposal direction, drafting, review, and package export.

Presentation Foundry
RedCube AI
Slide decks and audited presentation artifacts.

Work

I work on medical AI for colorectal cancer and on One Person Lab: OPL Framework, One Person Lab App, and Foundry Agents for turning high-value knowledge work into recoverable, auditable expert stages. The product family currently centers on research, grants, presentations, agent building, and future professional workflows.

Projects

Project Role
One Person Lab OPL Framework for runtime, activation, contracts, progress projection, recovery, and domain-agent coordination
One Person Lab App Desktop workbench, installer, release assets, updater metadata, and user-facing product surface
OPL Meta Agent Agent Foundry for building, testing, and improving OPL-compatible agents
Med Auto Science Research Foundry agent for study workspaces, evidence packages, manuscripts, and submission materials
Med Auto Grant Grant Foundry agent for direction screening, proposal drafting, review, and package export
RedCube AI Presentation Foundry agent for slide decks and audited presentation artifacts
OPL Flow Reusable Codex workflow profile for Direct / Inline / Durable work, role prompts, subagent contracts, and verification discipline
OPL Doc Codex plugin for OPL-native developer-document lifecycle governance and active-truth cleanup

Codex Setup

New-machine Codex setup for the OPL runtime, MAS/MAG/RCA/OMA agent surfaces, OPL Flow, OPL Doc, and companion tools starts here:

One Person Lab new-machine Codex bootstrap guide

Paste this into Codex on the new machine:

Please follow the official One Person Lab new-machine guide and set up this machine with the OPL agent runtime environment and the complete Codex workflow toolkit.
Source of truth: https://github.com/gaofeng21cn/one-person-lab/blob/main/docs/references/current-support/opl-new-machine-codex-bootstrap.md

Focus

  • Clinically grounded AI for colorectal cancer
  • Human-auditable medical research and grant workflows
  • Stage-led systems for recoverable, auditable knowledge delivery
  • Independent domain agents with clear authority boundaries

Links

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  1. one-person-lab one-person-lab Public

    Top-level gateway federation for a one-person research lab across domain systems and shared foundations.

    TypeScript 6 3

  2. med-autoscience med-autoscience Public

    Medical implementation of Research Foundry for agent-first, publication-oriented Research Ops.

    Python 18 5

  3. redcube-ai redcube-ai Public

    Agent-first visual deliverable gateway for experts and PIs, spanning PPT decks and Xiaohongshu posts.

    TypeScript 2 3

  4. opl-meta-agent opl-meta-agent Public

    OPL Foundry Agent for building OPL-compatible domain agents with staged packs, gated evals, and owner receipts.

    TypeScript