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Awesome AI Agent Papers

Awesome AI Agent Papers is a public, MIT-licensed repository that curates arXiv research on AI agents and groups papers by subject. It is a bibliography for discovery and reading, not software for building or running agents.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Awesome AI Agent Papers — OpenViST project profile in Research Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it at the start of a literature review or when looking for research papers around a specific AI-agent topic.

Who it is for

  • AI researchers exploring agent architectures and related research.
  • Engineers and developers reviewing agent design, evaluation, memory, or tooling approaches.

Documented uses

  • Find papers on multi-agent coordination, memory and RAG, agent tooling, evaluation and observability, or security.
  • Build a topic-focused reading list for research into agent systems.
  • Follow links from a curated entry to the associated arXiv paper.
Before you choose

Requirements & limits

The repository is public and lists an MIT license.

  • The README says the list includes papers published from January 2026 onward and is updated weekly from arXiv.
  • It is a paper index; the repository is not an agent-building framework or executable agent.
  • The repository license does not establish the reuse terms of each linked paper.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Browse papers by AI-agent research topic

Use the curated list to find papers in a chosen AI-agent topic area.

Before you start

  • Web access to the repository README.

Steps

  1. Open the repository README.

  2. Choose a listed topic, such as Multi-Agent, Memory & RAG, Eval & Observability, Agent Tooling, or AI Agent Security.

  3. Browse the papers listed under that topic and follow a paper link to its arXiv entry.

Expected outcome

A topic-organized set of research papers and links to their arXiv entries.

Guide limitations

  • The collection is limited to papers published from January 2026 onward.
  • The repository is a reference list, not an executable agent framework.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
8 October 2026
Original website title
VoltAgent/awesome-ai-agent-papers · Official homepage title · retained in its source language
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