Paperclip 📎 gives your agent access to millions of full-text biomedical papers. Agents like Claude Code, Cursor, and Codex are powerful research environments, not just for coding. But searching for papers often returns missing or incomplete results because these agents only have access to basic web search. With our release of Sy (sy.gxl.ai), we showed that giving agents access to a deep index of biomedical papers improves literature search (1.6× more accurate, 2.4× faster, and 3.6× cheaper) over Claude Code alone. 🚀 Today, we're releasing Paperclip as a CLI that can be installed directly in your agent IDE! 👉 To install and try it out, go to paperclip.gxl.ai 📖 We also wrote a technical deep-dive into how Paperclip works and why agents take to it really well: gxl.ai/blog/paperclip

Your paper is cited 200 times. Maybe 8 of them actually read it. Paper Scorecard finds those 8 and surfaces the real critiques buried in literature. Fascinating to see what papers really say about each other! paperclip.gxl.ai/scorecard/

You can try it yourself: ask your agent to use Paperclip and reproduce this graph on your own "pet peeve" words!

In 2024, we found LLM-isms like “delve”, “realm” spreading through papers like wild fire. Last week @ericwu93 repeated the analysis using Paperclip. Interestingly, the usage of such words has steadily decreased. Perhaps because people are consciously avoiding sounding too AI!

Excited to announce re:AGENT a two-day build weekend (8/15–8/16, SF) for people building tools for scientific agents. Three tracks: A) Build an AI scientist that can carry out a workflow from start to finish B) Design a new biological system from the ground up C) Create a dataset at scale to answer a question you've never been able to read fast enough to settle. What you leave with is the working thing, not a pitch deck. Apply by 7/30 at luma.com/g6org075

futurebio.xyz is taking over SF in August for re:AGENT - a hackathon for end-to-end agentic science brought to you by some of the goats of bio ai > @AnthropicAI > @arcinstitute > @gxl_ai > @biohub > @benchflow_ai you know this one's gonna be good link below

Bio databases/APIs weren't designed for AI agents🧬 So we expanded #Paperclip to transform common molecular databases—UniProt, PDB, ChEMBL—into a unified agent-native virtual filesystem. Now you can do deep research across 10^6 molecules much more accurately and 10x faster! All integrated with millions of full-text papers also indexed in Paperclip. Free to use gxl.ai/blog/adding-biology-d…

Paperclip is now in your browser. Today we're releasing Paperclip Chat, an instant, browser-based way to search and analyze millions of full-text papers, clinical trials and regulatory documents with no local setup. Paperclip contains every feature of the initial CLI, plus: - Inline citations - Repo visualization: see your research as a graph: click through each branch, inspect verified claims, full observability into every conclusion - A workspace where you can upload your own documents Try it → paperclip.gxl.ai/chat More → gxl.ai/blog/announcing-paper… Paperclip original CLI → paperclip.gxl.ai

Excited to introduce Paperclip Chat!🖇️ Now you can use #Paperclip directly in your browser for deep literature synthesis for free ⚡️ Each claim is grounded with inline citations ⚡️ Upload your own PDFs. They're automatically integrated into Paperclip's virtual filesystem

Can’t just tout the papers that are positive and critique the papers that are negative. Same problems are present in the papers they like. They decline to participate in medarena.ai/ and similar. Blinded head to head comparison >> benchmarks. @ericwu93 @kevinywu

Today, #paperclip is even faster and more reliable. We introduce Paperclip Repos, a git-like layer on our virtual filesystem that makes literature synthesis reproducible + verifiable. This enables better grounding and large-scale scientific analysis gxl.ai/blog/paper-repos

Paperclip is the only "what does scientific literature say about XYZ?" skill I've tried that doesn't suck. Already had all of Pubmed + {bio,med}rxiv + 150 million OpenAlex abstracts... This is icing on the cake 😍

We added >220K FDA regulatory and >1M clinical trial docs to #paperclip. All natively indexed for agents and free. Now agents can easily reason over clinical studies w/o web search! E.g: find all trials that were approved despite missing endpoint gxl.ai/blog/adding-regulator…

huge gift to auto research community!

Very excited for this update!

Big Update🤩: #paperclip now includes full papers from all of arXiv, PubMed Central and 150 million abstracts!🖇️ You can give your LLM all that knowledge in one line—all optimally indexed for AI agents. Much more thorough and ~100x faster than web search, and free.

#paperclip now has a public repo! You can request features and discuss issues here github.com/GXL-ai/paperclip

been using the paperclip.gxl.ai/ and im just blown away but how much better it makes cc as a research assistant. i feel like they solved something smoothly. an elegant example of 'you need to translate problems to something that a CLI solves'. researchers - out there - try it @james_y_zou

As biology AI models mature, biology-native data infrastructure will be critical in separating the next generation of winning biotechs. It will come down to three things: biology-native data at scale, agentic AI across R&D workflows, and closed-loop lab automation.

You can now give your agent deep knowledge of millions of papers in one line with #paperclip!📎 >8 million papers natively indexed for agents. Much more thorough + often 10x faster than standard deep research. Just add the paperclip mcp (instruction below).

A couple of exciting updates from the GXL team today: 1. Sy, our biomedical literature search agent, now has access to 8M+ papers from PubMed Central! Head over to sy.gxl.ai to try it out! 2. We’re releasing Paperclip, a CLI for biomedical papers! Agent IDEs like Claude Code, Cursor, and Codex are more than just for writing code; they are also powerful research environments. But the moment you need to find a paper, you're back in your browser, because the biomedical literature isn't easily accessible to the agent. Paperclip attaches a filesystem of millions of articles directly to your agent, so you can conduct literature search, pull full-text results, and synthesize findings without leaving your IDE. Search results are accessible locally, right alongside your work. We initially built Paperclip as an internal tool to power Sy, our biomedical literature search agent, but found that it works really well with general coding agents, so we’re making it available to other researchers to use. To install Paperclip: paperclip.gxl.ai Learn more: gxl.ai/blog/paperclip