OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents
LLM agents are increasingly applied to open-ended everyday requests that span work, study, and life. These tasks are long-horizon, cross-environment, and multimodal, forcing the agent to preserve goals and constraints across many steps while navigating heterogeneous tools and attachments. While prior work has addressed individual failure modes such as goals drift, states loss, and context overflow, whether a single harness can manage them jointly and remain effective across backends has received
Record details
Published: 3 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 6 August 2026
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ethics.ai (3 August 2026), “OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents,” evidence record 16601, https://ethics.ai/record/16601 (originally published by HuggingFace Daily Papers).
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