OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents
Jingsheng Zheng, Xinyuan Fang, Jintian Zhang, Zhengke Gui, Huajun Chen, Ningyu Zhang
cs.CL, cs.AI, cs.HC, cs.LG, cs.MA
Submitted: 2026-08-04
Comments: Ongoing work
Code: https://github.com/zjunlp/OneDayAgent
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
- LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities
- Deep Research of Deep Research: From Transformer to Agent, From AI to AI for Science
- Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions
- AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily Scenarios
- GLM-5: from Vibe Coding to Agentic Engineering
- ReAct: Synergizing Reasoning and Acting in Language Models
- A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
- HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent Learning
- WebArena: A Realistic Web Environment for Building Autonomous Agents
- Reflexion: Language Agents with Verbal Reinforcement Learning
- AgentFixer: From Failure Detection to Fix Recommendations in LLM Agentic Systems
- Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads
- MemGym: a Long-Horizon Memory Environment for LLM Agents
- Towards a Standard, Enterprise-Relevant Agentic AI Benchmark: Lessons from 5.5 billion tokens' worth of agentic AI evaluations
- AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios
- Large Language Model Agent: A Survey on Methodology, Applications and Challenges
- Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents
- Agentic Tool Use in Large Language Models
- Generalizability of Large Language Model-Based Agents: A Comprehensive Survey
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