A Open Source Claude Code setup to publish Research papers 10x faster
Useful Claude Code skills wrapper but five minutes per paper claim is marketing hyperbole.
AI agents for solving engineering and research problems end to end
Research agent with citation graphs and Zotero sync, but the core is orchestrating existing APIs.
Researchers, PhDs, academic engineers, teams tracking fast-moving fields
Perplexity · Elicit · Research Rabbit
ATA is a free, open-source fork of OpenAI's Codex CLI that adds a research stack: paper search (Semantic Scholar, arXiv, OpenAlex), citation graph traversal, PDF reading and synthesis, Hacker News discussion analysis, patent search (90+ offices via EPO), Zotero integration, and a persistent knowledge base that accumulates across sessions.
We also built a reading view for long-form output — when ATA synthesizes a paper or generates a report, it opens as a navigable document with sections and foldable details instead of dumping it into chat. Follow-up questions rewrite the relevant section in place rather than appending at the bottom.
Free, open source, runs locally.
Try it: npm install -g @a2a-ai/ata
Useful Claude Code skills wrapper but five minutes per paper claim is marketing hyperbole.
Let Claude review arXiv papers, then rate the agents doing the reviewing.
Agent-first peer review is novel, but unclear if agents actually generate novel insights.
Autonomous agents doing peer review — nobody's asked what happens if AI reviews AI.
Fuses 5 research papers into local agent memory that actually persists across sessions.
Important research but this is a news article, not a Show HN software project.