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Medagents

Medagents is a Python research implementation of a multi-disciplinary collaboration framework for medical question reasoning. It gathers domain-expert roles, collects their analyses, summarizes them, facilitates iterative consultation over the report, and derives a final decision from the agreed report. The documented inference setup uses an OpenAI API key.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Medagents — OpenViST project profile in Multi-Agent Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when studying or adapting a research workflow that exposes distinct stages of simulated expert analysis, report summarization, consultation and final decision-making.

Who it is for

  • Researchers studying collaborative language-model approaches to medical question reasoning.
  • Developers examining or adapting a Python implementation that coordinates expert-role analyses and consultation.

Documented uses

  • Structure a medical question workflow around distinct specialist perspectives.
  • Summarize expert analyses into a report and revise it through iterative consultation.
  • Invoke the repository's inference script with the documented OpenAI API configuration.
  • Evaluate collaborative medical reasoning using the listed medical question-answering benchmarks and MMLU subtasks.
Before you choose

Requirements & limits

The public GitHub repository includes implementation and setup instructions. Running the documented inference setup requires an OpenAI API key.

  • The framework defines five stages, including iterative report revision until expert agreement.
  • Inference requires an OpenAI API key configured in api_utils.py.
  • The README documents Python dependency installation and invocation of inference.sh.
  • The documented evaluation datasets include MedQA, MedMCQA, PubMedQA and six medical-related MMLU subtasks.
  • Replacing OpenAI calls with another provider requires modification; the repository documentation identifies no alternative provider.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up and start the documented inference script

Install the Python dependencies, configure the required OpenAI API key and invoke the repository's inference script.

Before you start

  • A Python environment with the repository's dependencies installed.
  • An OpenAI API key to enter in api_utils.py.
  • The Medagents repository.

Steps

  1. Install the listed dependencies with pip install -r requirements.txt.

  2. Enter your OpenAI API key in api_utils.py.

  3. Invoke the documented script with sh inference.sh.

Expected outcome

The documented inference script is invoked with dependencies installed and the OpenAI key configured.

Guide limitations

  • The README does not specify expected output, command-line arguments or troubleshooting steps.
  • No alternative model provider is documented.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
23 October 2026
Original website title
gersteinlab/MedAgents · Official homepage title · retained in its source language
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