# xxPcy/PharmaLLM-Agent

> A medical LLM agent workspace built on PharmaLLM with LangGraph, vLLM and BEU-Net, combining Chinese medical Q&A, natural-language MRI segmentation of the femoral head and acetabulum, and a review workflow for clinical teams.

- Magnitude: 3.0 out of 10 — Early signal
- Stars: 122 total · +2 stars measured 2026-10-30, 18:33–20:55 UTC, ≈ 3 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-10-26 · Last push: 2026-10-27
- GitHub: https://github.com/xxPcy/PharmaLLM-Agent · Page: https://gitnova.dev/en/r/xxPcy/PharmaLLM-Agent

## Useful for

- Deploy a local demo of the agent workspace with Docker Compose and fake models to test the UI and task flow.
- Run natural-language MRI segmentation requests and inspect axial, coronal, sagittal and 3D results in the viewer.
- Set up role-based review where doctors submit segmentation results and reviewers approve them within their scope.

## Why it’s here

- Star-counter measurements on 2026-10-30 (UTC), 18:33–20:55: 120 → 122 stars (+2). This is the change over that interval.
- Estimated end-of-day forecast: about +3 stars, using observed gains and the previous day.
- The repository is 4 days old and already has 122 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 1
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 17 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 1

## Stars per day, last 5 days (oldest → newest, today is partial)

2026-10-26 … 2026-10-30: 0, 7, 17, 57, 2

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-30 21:05 UTC, updated every 30 minutes.