arXiv — NLP / Computation & Language · · 3 min read

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination

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Computer Science > Artificial Intelligence

arXiv:2608.13476 (cs)
[Submitted on 13 Aug 2026]

Title:MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination

View a PDF of the paper titled MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination, by Saisha Shetty and 8 other authors
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Abstract:We present Multi-Agent Reasoning and Coordination (MARC), an open-source framework that replaces monolithic LLM prompting with deterministic multi-agent orchestration for clinical reasoning. MARC coordinates role-specialized agents for extraction, reasoning, answer generation, and evaluation, with explicit context passing and traceable intermediate outputs, enabling stage-wise failure attribution. We additionally introduce a Decomposer module that generates task-specific agent prompts from a plain-language description, eliminating manual prompt engineering. The framework supports both API-based and local CPU-compatible deployments and is entirely configurable via YAML, without code modifications. MARC is designed to be model-agnostic, interpretable, and accessible to clinical domain experts without programming expertise. The full framework is available at this https URL.
Comments: 13 pages, 4 figures
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
Cite as: arXiv:2608.13476 [cs.AI]
  (or arXiv:2608.13476v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2608.13476
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Saisha Pradeep Shetty [view email]
[v1] Thu, 13 Aug 2026 17:00:08 UTC (3,383 KB)
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