# masamasa59/ai-agent-papers

A collection of AI Agents papers (Updated biweekly)

Repository: https://github.com/masamasa59/ai-agent-papers
Canonical: https://ross.abutalabs.com/products/ai-agent-papers
Language: Python
License Family: other
Topics: agents, llm, planning, reasoning, paper-list, survey
Last push: 2026-08-23T03:05:32+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 47
- inputs: {"age_days": 661, "days_push": 10, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1617, forks 132 (observed 2026-08-28T04:05:11.931411+00:00)

## What it is
A curated, biweekly-updated collection of research papers on AI agents built with large language models, organized into a four-layer taxonomy covering capabilities, architecture, operations, and applications. It includes automated Arxiv searching and README badge generation scripts to keep the reading lists current.

## Use cases
- find recent research papers on LLM agents
- survey the state of the art in agent planning and reasoning
- keep up with new papers on agent memory and tool use
- find benchmarks and surveys on multi-agent systems
- research agent self-improvement and self-correction methods
- build a reading list for an AI agents course or onboarding

## When to choose
- you want a curated, quality-filtered list of AI agent papers rather than exhaustive search results
- you need a structured taxonomy of agent research areas to explore systematically
- you want regularly updated coverage of the latest arxiv papers on agents

## When to avoid
- you need comprehensive exhaustive coverage of every agent paper
- you need runnable code or implementations rather than paper references
- you need papers outside the AI agents domain

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, search-engine
- domain: artificial-intelligence, large-language-models, awesome-lists, tutorials
- platform: python, cli
- tags: paper-list, ai-agents, llm-research, curated-reading-list, survey

## Member repositories
- masamasa59/ai-agent-papers (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:11.931411+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:49:54.751652+00:00, confidence not recorded.
  - readme: https://github.com/masamasa59/ai-agent-papers (fetched 2026-08-28T04:05:11.931411+00:00, sha 63459af0a4b1)
- Data as of 2026-08-30T08:39:29.467469+00:00.