4 papers
Learning from Research: Toward Lifelong Agent Harness Evolution
Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +3
Language agents are expected to solve increasingly complex tasks, creating a growing need for continual improvement. One promising approach is to evolve the agent harness, the soft…
Persistent Context Graphs for Efficient Memory Compaction in LLM Agents
Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +6
As LLM capabilities advance, agents are tackling increasingly complex tasks over longer horizons. Their growing interaction histories make memory compaction essential for staying w…
A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization
Yangqiaoyu Zhou, Mohammad Alqudah, Kwei-Herng Lai +3
Enterprise AI agents route user queries to specialized skills by matching queries against natural language skill descriptions. When two skills share overlapping descriptions, the r…
GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations
Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +3
Large Language Model (LLM) agents increasingly serve as personal assistants and workplace collaborators, where their utility depends on memory systems that extract, retrieve, and a…