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mem0

Agents & models

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Updated 10-16 02:36

About this skill

Troubleshooting

If requests fail, run zero doctor check-connector --env-name MEM0_TOKEN or zero doctor check-connector --url https://api.mem0.ai/v1/memories --method GET

Authentication

All requests require an API key passed in the Authorization header:

Authorization: Token $MEM0_TOKEN

Get your API key from: app.mem0.ai → API Keys → create or copy your key.

Environment Variables

Variable Description
MEM0_TOKEN Mem0 API key (starts with m0-)

Key Endpoints

Base URL: https://api.mem0.ai

1. Add a Memory

POST /v1/memories/

Store a new memory for a user, agent, or session.

Write to /tmp/mem0_add.json:

{
  "messages": [
    {
      "role": "user",
      "content": "I prefer dark mode in all applications."
    }
  ],
  "user_id": "<your-user-id>"
}

Then run:

curl -s -X POST "https://api.mem0.ai/v1/memories/" --header "Authorization: Token $MEM0_TOKEN" --header "Content-Type: application/json" -d @/tmp/mem0_add.json

Optional fields alongside user_id:

  • agent_id — scope memory to a specific agent
  • run_id — scope memory to a specific run/session
  • metadata — arbitrary key/value pairs to attach to the memory
  • output_format — set to "v1.1" for structured results with relations and facts

Response includes results array with each stored memory's id, memory, and event (ADD, UPDATE, or NONE).

2. Search Memories (Semantic)

POST /v1/memories/search/

Search memories semantically using a natural language query.

Write to /tmp/mem0_search.json:

{
  "query": "display preferences",
  "user_id": "<your-user-id>"
}

Then run:

curl -s -X POST "https://api.mem0.ai/v1/memories/search/" --header "Authorization: Token $MEM0_TOKEN" --header "Content-Type: application/json" -d @/tmp/mem0_search.json

Optional fields:

  • limit — max results to return (default 100)
  • filters — object of metadata key/value filters
  • threshold — minimum similarity score (0–1)

Response includes a results array of matching memories with id, memory, score, and metadata.

3. Get All Memories

GET /v1/memories/?user_id=<your-user-id>

Retrieve all memories for a user (or agent/run).

curl -s "https://api.mem0.ai/v1/memories/?user_id=<your-user-id>" --header "Authorization: Token $MEM0_TOKEN"

To filter by agent or run, add agent_id=<agent-id> or run_id=<run-id> as query parameters.

Response includes a paginated results array.

4. Get a Specific Memory

GET /v1/memories/<memory-id>/

Retrieve a single memory by its ID.

curl -s "https://api.mem0.ai/v1/memories/<memory-id>/" --header "Authorization: Token $MEM0_TOKEN"

5. Update a Memory

PUT /v1/memories/<memory-id>/

Update the text content of an existing memory.

Write to /tmp/mem0_update.json:

{
  "memory": "I prefer light mode in all applications."
}

Then run:

curl -s -X PUT "https://api.mem0.ai/v1/memories/<memory-id>/" --header "Authorization: Token $MEM0_TOKEN" --header "Content-Type: application/json" -d @/tmp/mem0_update.json

6. Delete a Memory

DELETE /v1/memories/<memory-id>/

Delete a specific memory.

curl -s -X DELETE "https://api.mem0.ai/v1/memories/<memory-id>/" --header "Authorization: Token $MEM0_TOKEN"

7. Delete All Memories for a User

DELETE /v1/memories/?user_id=<your-user-id>

Delete all memories scoped to a user.

curl -s -X DELETE "https://api.mem0.ai/v1/memories/?user_id=<your-user-id>" --header "Authorization: Token $MEM0_TOKEN"

8. Get Memory History

GET /v1/memories/<memory-id>/history/

Retrieve the change history for a specific memory (shows ADD, UPDATE, DELETE events over time).

curl -s "https://api.mem0.ai/v1/memories/<memory-id>/history/" --header "Authorization: Token $MEM0_TOKEN"

Common Workflows

Personalized Agent with Persistent Context

# Step 1: Store user preferences at end of session
# Write to /tmp/mem0_add.json:
# { "messages": [{"role": "user", "content": "I work in the fintech industry and prefer concise summaries."}], "user_id": "user-123" }
curl -s -X POST "https://api.mem0.ai/v1/memories/" --header "Authorization: Token $MEM0_TOKEN" --header "Content-Type: application/json" -d @/tmp/mem0_add.json

# Step 2: Retrieve relevant memories at start of next session
# Write to /tmp/mem0_search.json:
# { "query": "user industry and preferences", "user_id": "user-123", "limit": 5 }
curl -s -X POST "https://api.mem0.ai/v1/memories/search/" --header "Authorization: Token $MEM0_TOKEN" --header "Content-Type: application/json" -d @/tmp/mem0_search.json

Store Memory with Metadata Tags

Write to /tmp/mem0_tagged.json:

{
  "messages": [
    {
      "role": "user",
      "content": "My team uses Slack for internal communication."
    }
  ],
  "user_id": "<your-user-id>",
  "metadata": {
    "category": "tools",
    "source": "onboarding"
  }
}

Then run:

curl -s -X POST "https://api.mem0.ai/v1/memories/" --header "Authorization: Token $MEM0_TOKEN" --header "Content-Type: application/json" -d @/tmp/mem0_tagged.json

Filter Memories by Metadata

Write to /tmp/mem0_filter.json:

{
  "query": "communication tools",
  "user_id": "<your-user-id>",
  "filters": {
    "category": "tools"
  }
}

Then run:

curl -s -X POST "https://api.mem0.ai/v1/memories/search/" --header "Authorization: Token $MEM0_TOKEN" --header "Content-Type: application/json" -d @/tmp/mem0_filter.json

Memory Scoping

Memories can be scoped at multiple levels using these mutually-optional parameters:

Parameter Scope
user_id Per end-user (most common)
agent_id Per AI agent identity
run_id Per individual conversation run

Combine them to scope memories to a specific user+agent pair, or user+run.

Notes

  • Mem0 uses LLM-powered deduplication: re-adding similar content updates the existing memory rather than creating a duplicate
  • The search endpoint performs semantic vector search, not keyword matching
  • Memory IDs are UUIDs; capture them from the results[].id field in POST responses when you need to update or delete specific entries
  • Rate limits and storage quotas depend on your Mem0 plan; check app.mem0.ai for current usage

API Reference