[Upstream sync] ai-boost/awesome-ai-for-science (github) — 0 added, 1 modified #11

Merged
promptadmin merged 1 commits from upstream-sync/awesome-ai-for-science-20260627-3a7505-cspp into main 2026-06-27 13:32:18 +00:00
@@ -2,9 +2,9 @@
title: "Readme"
task: ""
lineage_type: import
upstream_source: https://github.com/ai-boost/awesome-ai-for-science/blob/cf292eeb/README.md
upstream_sha: cf292eeb
imported_at: 2026-06-26
upstream_source: https://github.com/ai-boost/awesome-ai-for-science/blob/3a7505d8/README.md
upstream_sha: 3a7505d8
imported_at: 2026-06-27
prompt_class: catalogue
upstream_changes: accepted
author: upstream
@@ -203,6 +203,7 @@ validated: false
- [Google Colab AI Features](https://colab.research.google.com/) - Integrated AI assistance for data science and research notebooks
- [OpenBioMed](https://github.com/PharMolix/OpenBioMed) - Open-source biomedical AI platform integrating multimodal foundation models (BioMedGPT, PharmolixFM, LangCell) with agentic workflows and 45+ Claude Code skills for drug discovery, protein engineering, and single-cell omics analysis (PharMolix & Tsinghua AIR, 1K+ stars, 2023-2026)
- [AutoR](https://github.com/AutoX-AI-Labs/AutoR) - Human-centered research OS with terminal-first harness and local browser Studio, turning research work into reproducible artifact-backed runs through a 9-stage workflow with human approval gates, resume/rollback controls, and venue-aware manuscript packaging (1K+ stars, 2026)
- [ScholarAIO](https://github.com/ZimoLiao/scholaraio) - Agent-agnostic research infrastructure providing AI agents with a structured scientific workspace for deep PDF parsing, hybrid semantic/keyword literature search, citation-graph analysis, topic discovery, and academic writing workflows; natively integrates with Claude Code, Codex, Cursor, Cline, and AgentSkills.io (530+ stars, MIT License, 2026)
### Literature Management Plugins
- [llm-for-zotero](https://github.com/yilewang/llm-for-zotero) - Research agent system deeply integrated with Zotero supporting Agent Mode, skills, multi-model backends (OpenAI-compatible, Claude Code, WebChat, Codex), and MinerU PDF parsing for literature Q&A, summarization, figure inspection, and source comparison (1.3K+ stars, 2026)