Building Multi-Agent Systems with Shared Memory

Multi-agent systems are powerful but coordination is hard. When a research agent, a planning agent, and an execution agent all work on the same goal, they need a shared understanding of what has been learned and decided.

Passing this state through messages quickly becomes brittle. Each agent has to know the message schema, handle ordering, and reconstruct context. A shared memory layer is a cleaner abstraction: agents write what they learn and read what they need.

With Libra, you scope memories to a project or session and let every agent in the system read and write to the same store. The planning agent can recall facts the research agent discovered, without any direct coupling between them.

This also makes systems more resilient. If an agent crashes and restarts, it recovers its context from memory rather than losing everything in flight. Memory becomes the durable backbone of the system.

Shared memory turns a collection of independent agents into a coordinated team that gets smarter the longer it works together.