gersteinlab/MedAgents
[ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537
Latest metrics (snapshot 2026-10-15)
| stars | 372 |
|---|---|
| forks | 50 |
| issues | 0 |
| pushed_at | 2024-05-27T02:02:24Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-15 | 372 |
ADC Momentum: 15/100
| Growth velocity | 25 |
|---|---|
| Consistency | 20 |
| Recency | 0 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/gersteinlab/MedAgents)<a href="https://agentdataco.com/repo/gersteinlab/MedAgents"><img src="https://agentdataco.com/badge/repo/gersteinlab/MedAgents.svg" alt="ADC Momentum"></a>Details
| description | [ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537 |
|---|---|
| url | https://github.com/gersteinlab/MedAgents |
| language | Python |
| topics | llm llm-agent llm-agents medical-application medical-question-answering |
| created_at | 2023-11-15T20:47:57Z |
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