mlsanityData to 14 Oct 2026

CLAPP: The CLASS LLM Agent for Pair Programming

arXiv 2508.05728 ↗First posted 7 Aug 2025astro-ph.IM astro-ph.CO cs.AIcited by 3

On the map: LLM agents and tool use → Web, search, and research agents

Abstract (arXiv)

We introduce CLAPP (CLASS LLM Agent for Pair Programming), an interactive AI assistant designed to support researchers working with the Einstein-Boltzmann solver CLASS. CLAPP leverages large language models (LLMs) and domain-specific retrieval to provide conversational coding support for CLASS-answering questions, generating code, debugging errors, and producing plots. Its architecture combines multi-agent LLM orchestration, semantic search across CLASS documentation, and a live Python execution environment. Deployed as a user-friendly web application, CLAPP lowers the entry barrier for scientists unfamiliar with AI tools and enables more productive human-AI collaboration in computational and numerical cosmology. The app is available at https://classclapp.streamlit.app

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Placed in Web, search, and research agents, one of 16 directions in LLM agents and tool use. Builds on 3 of its 13 references that are in the map. First posted on arXiv 7 Aug 2025.

Builds on

3 of 13 references.

Closest ancestors · 1

Same direction, newest first

  1. 2025Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery9 Jul

Other references · 2

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,988

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

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Close in wording, no citation either way

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