Mem0 integration
AI & Machine Learning · 3 actions · API key auth
Persistent agent memory management — add, search, and retrieve long-term memories so AI agents can recall user context, preferences, and prior conversations across sessions.
The ModuleX Mem0 integration lets a ModuleX agent operate Mem0 on your behalf — running find actions across memories — directly from a plain-English request, using your organization's own Mem0 credentials. No pre-built workflow is required: the agent picks the right Mem0 action for the task.
Mem0 is an ai & machine learning platform. ModuleX adds the agent layer: ask for an outcome and it selects and runs the right Mem0 action — or, when you want a repeatable process, the composer assembles a Mem0 workflow for you, streaming the nodes onto the canvas as it builds.
Drive Mem0 in plain English
Type what you want. A ModuleX agent picks the right Mem0 action — or chains several — and runs it. No workflow to build.
- Add memories to Mem0 for persistent storage and retrievalresolves to
add_memories - Show me the memories that match what I describeresolves to
search_memories
What you can automate with Mem0
- Add a memory on the fly
add_memories - Search for memories in Mem0 using semantic search
search_memories - Retrieve memories from Mem0 by ID or filter criteria
get_memories
Mem0 integration at a glance
All 3 Mem0 actions
add_memoriessearch_memoriesget_memoriesSee full parameters and response schemas in the Mem0 integration docs
Two ways to use Mem0 in ModuleX
Connecting Mem0
Pairs well with Mem0
Agents often chain Mem0 with these — connect them once and the agent can use all of them in a single task.
Mem0 + ModuleX FAQ
Put Mem0 to work in ModuleX.
Connect Mem0 once with your own credentials and let your agent run all 3 actions on demand.