Give agents long-term memory
A team that forgets everything between runs starts from zero each time. A MemoryStore lets it carry knowledge forward.
The problem.
Within a run, agents share context; across runs, most frameworks forget. If yesterday’s run learned something useful, today’s can’t reach it without you bolting on your own persistence.
How open-multi-agent does it.
open-multi-agent exposes a MemoryStore interface: back it with any store you like and the team reads and writes cross-run memory through it. The same interface underpins checkpoint/resume, so a crashed run can restore completed tasks and pick up where it left off — recovery is task-grained, over whatever store you plug in.
When this fits.
This fits when a team should improve or stay consistent across sessions — recalling prior decisions, accumulated facts, or user context. If every run is genuinely independent, in-run shared context is enough.
Taking this to production?
open-multi-agent is MIT-licensed and free to run yourself. When you need it delivered, integrated, or supported on a deadline, 元定义科技 (YuanASI) offers commercial delivery and support.