AI Agent Papers Guide (2024-2026)

Overview

A focused collection of AI agent research papers from 2024-2026, tracking the latest developments in LLM-based agent systems. Unlike broader collections, this focuses on recent breakthroughs — new architectures, benchmarks, multi-agent coordination, and real-world applications. Updated frequently as the field evolves rapidly.

Paper Categories

Recent AI Agent Research
├── Agent Architectures
│   ├── Planning (o1-style reasoning, search-augmented)
│   ├── Memory (long-term, episodic, working)
│   └── Tool use (function calling, code execution)
├── Multi-Agent Systems
│   ├── Collaboration (task decomposition, debate)
│   ├── Competition (red team, adversarial)
│   └── Emergence (self-organization, culture)
├── Evaluation