paper_claw
Reduces time spent on manual paper screening and keeps engineering teams current with relevant ML/AI research without context-switching to multiple sources.
Paper Claw sends personalized daily research digests from arXiv and beyond straight to your inbox, featuring customizable categories, intelligent classification, and agent-based multilingual summaries powered by your preferred AI via private API. Designed for researchers and AI agents, it makes paper discovery easier, smarter, and more specialized.
- Ask Claude to summarize today's arXiv papers in your specific research domains automatically.
- Generate personalized daily digests of machine learning papers filtered by your custom categories.
- Automate delivery of multilingual research summaries directly to your email inbox each morning.
Reduces time spent on manual paper screening and keeps engineering teams current with relevant ML/AI research without context-switching to multiple sources. Cuts noise through intelligent filtering and summarization.
Research-focused engineering teams and ML practitioners needing structured, automated literature monitoring aligned to specific technical domains.
https://github.com/PigeonDan1/paper_claw
By PigeonDan1
How to Get It
git clone https://github.com/PigeonDan1/paper_claw.git && cd paper_claw && pip install -r requirements.txt # then cp .env.example .env, configure config/recipients.json and config/default.json, and run: python scripts/main.py
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Summarize today's arXiv papers in my specific research domains automatically
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- We hooked a real-life claw machine to the internet using Raspberry Pi 4! We fill — Reddit · 3004 pts
- What are you going to do now dragons? Steal bits of flammable paper money that c — Reddit · 1641 pts
- Nature retracts paper that claimed adult stem cell could become any type of cell — Hacker News · 310 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 31 GitHub stars; contributors unknown; last commit 4d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 31 GitHub stars; contributors unknown; last commit 4d ago; license MIT.