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How to use Awesome AI4 AI: what you can do with it

What is Awesome AI4 AI? Awesome-AI4AI is a weekly-updated catalog of 296 papers on AI-for-AI topics, covering long-horizon agents, benchmarks, harness design, and recursive self-improvement.

How do I use it? Open https://github.com/KaiWU5/Awesome-AI4AI and read the Weekly News · Top 10 table; then Note the rows whose type is Paper or Research release and copy their links; check the Live Rankings section for the most-cited papers of the current year. Full steps below.

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What do you want to do?

4 use cases

  • Build a weekly reading list of AI-for-AI papers

    Pull the weekly top picks and ranked papers into a short, dated reading list for your team.

    View prompt
    Using the repo KaiWU5/Awesome-AI4AI, read the Weekly News · Top 10 table and list each entry as date, type, title, and link to its primary source. Expected output: a markdown table of up to 10 rows. Verify that every link points to the source named in its row, not to a third-party summary.

  • Choose benchmarks to test a long-horizon coding agent

    Shortlist benchmarks from the catalog that match the agent capability you need to test.

    View prompt
    Using the repo KaiWU5/Awesome-AI4AI, list benchmarks from the Benchmarks section that involve command line or tool use for <target agent>. Expected output: a shortlist of three entries, each with its paper and code link. Verify that each link opens the benchmark named in its entry.

  • Compare self-improving agent harness methods

    Compare the harness design entries on how each one gates and tests its own edits.

    View prompt
    Using the repo KaiWU5/Awesome-AI4AI, summarize the Harness Design entries for <target research question>, including Self-Harness, Meta-Harness, and Harness². Expected output: a comparison table with columns for date, claim, and code link. Verify that each claim matches the wording in the README.

  • Track weekly AI-for-AI updates with a recurring check

    Set up a weekly check that flags new AI-for-AI entries since your last review.

    View prompt
    Using the repo KaiWU5/Awesome-AI4AI, compare the What's New section with the date <last check date> and list entries dated after it. Expected output: a bullet list of new entries with their dates. Verify that each date appears in the README.

Quick start with Awesome AI4 AI

  1. Check you have what it needs: A web browser, or an agent that can read GitHub pages; A place to save a short list or table of entries.
  2. Open KaiWU5/Awesome-AI4AI on GitHub and read the README and license.
  3. Open https://github.com/KaiWU5/Awesome-AI4AI and read the Weekly News · Top 10 table.
  4. Note the rows whose type is Paper or Research release and copy their links.
  5. Check the Live Rankings section for the most-cited papers of the current year.
  6. Star or watch the repository so you see the next weekly update.

These steps come from our top use case, Build a weekly reading list of AI-for-AI papers, which also has a copy-paste agent prompt.

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Awesome AI4 AI alternatives · Best AI repos for Research

About this repo

  • Who it is forWritten for AI researchers, agent engineers, and lab leads who need to track or compare AI-for-AI papers and benchmarks.
  • Why it is hot174 stars, launched 73 days ago
  • LanguagePython
  • Sourcegithub.com/KaiWU5/Awesome-AI4AI · Back to Hot repos

Requirements

  • A web browser, or an agent that can read GitHub pages
  • A place to save a short list or table of entries

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Questions about Awesome AI4 AI

What is Awesome AI4 AI?

Awesome-AI4AI is a weekly-updated catalog of 296 papers on AI-for-AI topics, covering long-horizon agents, benchmarks, harness design, and recursive self-improvement. It is an open-source project on GitHub: https://github.com/KaiWU5/Awesome-AI4AI.

How do I use Awesome AI4 AI?

Open https://github.com/KaiWU5/Awesome-AI4AI and read the Weekly News · Top 10 table; then Note the rows whose type is Paper or Research release and copy their links; check the Live Rankings section for the most-cited papers of the current year. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Awesome AI4 AI for?

Written for AI researchers, agent engineers, and lab leads who need to track or compare AI-for-AI papers and benchmarks.

What can I do with Awesome AI4 AI?

4 use cases so far, for example: Build a weekly reading list of AI-for-AI papers; Choose benchmarks to test a long-horizon coding agent; Compare self-improving agent harness methods. Each has steps and a copy-paste agent prompt.

What do I need to run Awesome AI4 AI?

A web browser, or an agent that can read GitHub pages; A place to save a short list or table of entries.

What are alternatives to Awesome AI4 AI?

Other hot AI repos in Research: Scientific Agent Skills, PersonaPlex, PageIndex, Book to Skill, Scientific Figure Library.

Is Awesome AI4 AI safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.