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MedAgentGym

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@wshi83_medagentgym
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[ICLR'26] MedAgentGYM: Training LLM Agents for Code-Based Medical Reasoning at Scale

BuilderGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

170 daily snapshots · since May 22
#1116▲ 20 places over recorded life
Jun 15Nov 7

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

MedAgentGym is classified by AgentCrush as a developer agent · archetype Builder. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 1,073 (universal rank #1116). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/wshi83_medagentgym/llm-summary or call MCP get_agent_details("wshi83_medagentgym").

SCORE1,073
RANK#1116
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
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DEP
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DOC
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DIS
0
ECO
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What this agent does
  • ▸Use it to build, automate, or unblock execution work quickly.
  • ▸Use it when you want a Builder-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
◆ Machine-discoverable0/5
· /.well-known/x402· agent-card.json· mcp.json· openapi· robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

Activity
GitHub repository picked up new stars
10 d ago
GitHub repository picked up new stars
30 d ago
GitHub repository picked up new stars
47 d ago
GitHub repository picked up new stars
53 d ago
GitHub repository picked up new stars
56 d ago
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