Mem0
Agent memory management
Mem0 is a powerful memory management system designed specifically for AI agents. It provides a persistent, searchable memory store that enables agents to remember past interactions, learn from experiences, and maintain context across conversations and workflow executions.
With Mem0, you can:
- Store agent memories: Save conversation history, user preferences, and important context
- Retrieve relevant information: Use semantic search to find the most relevant past interactions
- Build context-aware agents: Enable your agents to reference past conversations and maintain continuity
- Personalize interactions: Tailor responses based on user history and preferences
- Implement long-term memory: Create agents that learn and adapt over time
- Scale memory management: Handle memory needs for multiple users and complex workflows
In Sim Studio, the Mem0 integration enables your agents to maintain persistent memory across workflow executions. This allows for more natural, context-aware interactions where agents can recall past conversations, remember user preferences, and build upon previous interactions. By connecting Sim Studio with Mem0, you can create agents that feel more human-like in their ability to remember and learn from past experiences. The integration supports adding new memories, searching existing memories semantically, and retrieving specific memory records. This memory management capability is essential for building sophisticated agents that can maintain context over time, personalize interactions based on user history, and continuously improve their performance through accumulated knowledge.
Usage Instructions
Add, search, retrieve, and delete memories using Mem0. Store conversation history, user preferences, and context across workflow executions for enhanced AI agent capabilities.
Tools
mem0_add_memories
Add memories to Mem0 for persistent storage and retrieval
Input
| Parameter | Type | Required | Description |
|---|---|---|---|
apiKey | string | Yes | Your Mem0 API key |
userId | string | Yes | User ID associated with the memory |
messages | json | Yes | Array of message objects with role and content |
version | string | No | API version to use (v1 or v2). Use v2 if unsure. |
Output
| Parameter | Type |
|---|---|
memories | string |
mem0_search_memories
Search for memories in Mem0 using semantic search
Input
| Parameter | Type | Required | Description |
|---|---|---|---|
apiKey | string | Yes | Your Mem0 API key |
userId | string | Yes | User ID to search memories for |
query | string | Yes | Search query to find relevant memories |
limit | number | No | Maximum number of results to return |
version | string | No | API version to use (v1 or v2). Use v2 if unsure. |
Output
| Parameter | Type |
|---|---|
searchResults | string |
ids | string |
mem0_get_memories
Retrieve memories from Mem0 by ID or filter criteria
Input
| Parameter | Type | Required | Description |
|---|---|---|---|
apiKey | string | Yes | Your Mem0 API key |
userId | string | Yes | User ID to retrieve memories for |
memoryId | string | No | Specific memory ID to retrieve |
startDate | string | No | Start date for filtering by created_at (format: YYYY-MM-DD) |
endDate | string | No | End date for filtering by created_at (format: YYYY-MM-DD) |
limit | number | No | Maximum number of results to return |
version | string | No | API version to use (v1 or v2). Use v2 if unsure. |
Output
| Parameter | Type |
|---|---|
data | string |
Block Configuration
Input
| Parameter | Type | Required | Description |
|---|---|---|---|
operation | string | Yes | Operation |
Outputs
| Output | Type | Description |
|---|---|---|
response | object | Output from response |
↳ ids | any | ids of the response |
↳ memories | any | memories of the response |
↳ searchResults | any | searchResults of the response |
Notes
- Category:
tools - Type:
mem0