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lifelong-learning

topic1 events
papersTODAY 04:00 UTC

LIMBO: Inference-Time Memory and Budget Optimization for Lifelong LLM Agents

A new arXiv paper introduces LIMBO, a method that optimizes memory use and compute budgets at inference time so LLM agents can keep learning new tasks without losing earlier skills. It builds on experience replay, which feeds past interactions back into the agent, and targets the cost and context limits that arise as agents run in long, evolving workflows. The work is positioned as a general approach to lifelong capability retention for deployed agents.

agents/memory/llm-agents/research