Peter Smith
● Alibaba's AI team just dropped something interesting: AgentFold, a fresh take on how web agents manage memory. According to God of Prompt, this addresses a real pain point in current AI systems.
● Here's the problem: today's web agents struggle with memory in two ways. Some try to remember everything, which creates messy, bloated processing. Others compress information too early and lose important details they'll need later.
● AgentFold takes a different approach. It lets the agent actively choose what to keep and what to toss during a task—kind of like how we naturally filter through information after finishing a project. The results are pretty impressive: the system handles over 500 conversation turns while keeping context under 7,000 tokens. It also outperforms DeepSeek-V3.1-671B (a model with 671 billion parameters) and beats OpenAI's o4-mini on tasks requiring long-term reasoning.
● What makes AgentFold stand out is that it treats memory like a workspace rather than just a log. It can fold, condense, and abstract sub-tasks at different stages, which helps with managing long-running tasks. This isn't just about being more efficient—it's a step toward AI systems that can manage their own context intelligently.
● The potential here is significant. Better performance on extended reasoning tasks is one thing, but this could lead to smarter, more flexible AI agents that handle real-world complexity much better than what we have today.
Peter Smith
