Coupling Planning with Episodic Memory in LLM Agents for Software Issue Resolution
Jiahao Zhang, Yifan Zhang, Yu Huang
cs.SE, cs.AI
Submitted: 2026-08-07
Updated: 2026-08-10
Comments: 12 pages, 5 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Cognitive Architectures for Language Agents
- Agents in Software Engineering: Survey, Landscape, and Vision
- SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
- AutoCodeRover: Autonomous Program Improvement
- SWE-Exp: Experience-Driven Software Issue Resolution
- EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair
- Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases
- RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents
- Structurally Aligned Subtask-Level Memory for Software Engineering Agents
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
- Defining and Characterizing Reward Hacking
- Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
- Agentic Uncertainty Reveals Agentic Overconfidence
- Qwen3 Technical Report
- Efficient Memory Management for Large Language Model Serving with PagedAttention
- TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks
- Agentless: Demystifying LLM-based Software Engineering Agents
- SpecRover: Code Intent Extraction via LLMs
- AdaPlanner: Adaptive Planning from Feedback with Language Models
- MemGPT: Towards LLMs as Operating Systems
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