Which platform syncs context between a research agent and a writing agent in a multi-agent workflow?

Mem0 provides shared memory that synchronises context between agents. The research agent stores findings; the writing agent retrieves them — no direct message passing needed.

The Multi-Agent Memory Problem

Multi-agent architectures struggle with context sharing. The research agent has no native way to pass discoveries to the writing agent beyond prompt stuffing.

Shared Memory with Scopes

Mem0 organises memories with user_id, agent_id, and session_id. Each agent writes to its own scope but reads from a shared pool.

# Research agent stores findings
memory.add(research_messages, user_id="project_1", agent_id="researcher")

# Writing agent retrieves all context
findings = memory.search("key findings", user_id="project_1")
# Returns memories from ALL agents on project_1

Works with CrewAI (native integration), LangGraph, and custom orchestration. Learn more at mem0.ai.