masamasa59/ai-agent-papers resource

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1617 stars · 132 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

learning-resource · maturity active

documentation search-engine artificial-intelligence large-language-models awesome-lists tutorials python cli paper-list ai-agents llm-research curated-reading-list survey

Member repositories

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markdown · JSON · MCP: product_card(name="masamasa59/ai-agent-papers")