Data & Research · GitHub ·563 ★

awesome-ai-agent-papers

A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.

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Details

Author
VoltAgent
Category
Data & Research
Platform
GitHub
Framework
custom
Language
unknown
Stars
563
First indexed
2026-05-15
Last active
2026-04-01
Directory sync
2026-05-15
@VoltAgent

Overview

A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.

Quick start

git

git clone https://github.com/VoltAgent/awesome-ai-agent-papers

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What awesome-ai-agent-papers can do

llmragresearch
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Research — Searches sources and synthesises evidence-based answers.

Frequently asked questions

What is awesome-ai-agent-papers?
A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.
How do I install awesome-ai-agent-papers?
Use git: `git clone https://github.com/VoltAgent/awesome-ai-agent-papers`. Full setup details on the source page linked above.
Is awesome-ai-agent-papers open source?
awesome-ai-agent-papers is published on GitHub.
What are alternatives to awesome-ai-agent-papers?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for awesome-ai-agent-papers is sourced from GitHub, published by VoltAgent.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.