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 retrieval”resolves to
add_memories - “Show me the memories that match what I describe”resolves 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
Works with Mem0
Agents often chain Mem0 with these. Connect them once and one agent can use all of them in a single task.
Mem0 + ModuleX FAQ
A ModuleX agent can run any of Mem0's 3 actions, across memories, from a plain-English request, using your organization's own Mem0 credentials.
Put Mem0 to work in ModuleX.
Connect Mem0 once with your own credentials and let your agent run all 3 actions on demand.
Last updated: Jul 2026Browse all 179 integrations