Papers5

All Beginner Intermediate Advanced

All Sources arXiv

#context window

Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory

Beginner

Zhenting Wang, Huancheng Chen et al.Mar 4arXiv

This paper teaches long-horizon AI agents to remember everything exactly without stuffing their whole memory at once.

#indexed memory#LLM agents#long-horizon tasks

FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents

Intermediate

Chiwei Zhu, Benfeng Xu et al.Feb 2arXiv

FS-Researcher is a two-agent system that lets AI do very long research by saving everything in a computer folder so it never runs out of memory.

#FS-Researcher#file-system agents#external memory

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning

Intermediate

Yaorui Shi, Shugui Liu et al.Jan 29arXiv

MemOCR is a new way for AI to remember long histories by turning important notes into a picture with big, bold parts for key facts and tiny parts for details.

#MemOCR#visual memory#adaptive information density

AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents

Intermediate

Jiafeng Liang, Hao Li et al.Dec 29arXiv

This survey links how human brains remember things to how AI agents should remember things so they can act smarter over time.

#agent memory#episodic memory#semantic memory

NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents

Intermediate

Jingzhe Ding, Shengda Long et al.Dec 14arXiv

NL2Repo-Bench is a new benchmark that tests if coding agents can build a whole Python library from just one long natural-language document and an empty folder.

#NL2Repo-Bench#autonomous coding agents#long-horizon reasoning