Pro Long Programmatic Memory Enables Long Horizon

---
name: pro-long-programmatic-memory-enables-long-horizon-
description: 'Skill generated from arXiv paper 2607.20064: PRO-LONG: Programmatic Memory Enables Long-Horizon Reasoning'
metadata:
  {
    "arxiv": {
      "id": "2607.20064",
      "title": "PRO-LONG: Programmatic Memory Enables Long-Horizon Reasoning",
      "authors": ['Alexis Fox', 'Junlin Wang', 'Paul Rosu', 'Bhuwan Dhingra'],
      "published": "2026-07-22",
      "categories": ['cs.AI'],
      "url": "https://arxiv.org/abs/2607.20064",
      "utility": 1.0
    }
  }
---
# PRO-LONG: Programmatic Memory Enables Long-Horizon Reasoning

**arXiv:** 2607.20064  
**Published:** 2026-07-22  
**Authors:** Alexis Fox, Junlin Wang, Paul Rosu, Bhuwan Dhingra  
**Categories:** cs.AI  
**Utility:** 1.00

## Key Innovation
Long-horizon tasks require sustained perception, reasoning, and exploration, and are a persistent challenge for large language model (LLM) agents. This gap is reflected in their limited performance on continual learning benchmarks such as ARC-AGI-3, especially when models are evaluated out of the box. Various agent harnesses have been proposed to close this gap, and each commits to a strategy for handling long sequences of observations, i.e., what information to save from the environment and how...

## Potential Application
This paper presents advancements that could be applied to enhance agent capabilities in the areas of cs.AI.

## References
- arXiv: https://arxiv.org/abs/2607.20064