**deepxiv-cli**
Description
**DeepXiv is an agent-first paper search and progressive reading tool.**
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
Repository README
This is the README for DeepXiv/deepxiv_sdk, shared by 3 entries
in this directory. It describes the repository, not this entry specifically.
deepxiv-sdk
**DeepXiv is an agent-first paper search and progressive reading tool.**
Install it with `pip`, start using it immediately, and let the CLI auto-register an API token on first use. No extra setup is required before your first query.
- π API Documentation: https://data.rag.ac.cn/api/docs
- π₯ Demo Video:
- π Technical Report:
- π δΈζζζ‘£: README.zh.md
π **Live Demo**: I used vibe coding, based on deepxiv CLI, to build a [DeepResearch demo](https://demo.rag.ac.cn/) in 1 hour β feel free to try it out! A full-stack research platform is on the way. Stay tuned.
What DeepXiv Does
DeepXiv is built around two core workflows that matter for agents:
- Search + Progressive Content Access
- Trending + Popularity signals
Instead of blindly loading full papers, DeepXiv lets agents read in layers, based on token budget and task value.
Quick Start
pip install deepxiv-sdk
On first use, deepxiv automatically registers a free anonymous token (1,000 requests/day) and saves it to `~/.env`:
deepxiv search "agentic memory" --limit 5
If you want the full stack including MCP and the built-in research agent:
pip install "deepxiv-sdk[all]"
CLI-First Workflow
The CLI is the primary interface. DeepXiv is designed so agents can work like researchers: search first, judge quickly, then read only the most valuable parts.
deepxiv search "agentic memory" --limit 5
deepxiv paper 2603.21489 --brief
deepxiv paper 2603.21489 --head
deepxiv paper 2603.21489 --section Analysis
Three commands matter most for progressive reading:
--brief: decide whether a paper is worth deeper reading--head: inspect structure, sections, and token distribution--section: read only the most valuable parts such asIntroduction,Method, orExperiments
...
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