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# Mem0 SDK Guide
Complete SDK reference for Python and TypeScript. All methods use `MemoryClient` (Platform API).
> **For language-specific deep references (including OSS):** See [client/python.md](../client/python.md) and [client/node.md](../client/node.md). For Python vs TypeScript differences: [client/differences.md](../client/differences.md).
## Initialization
**Python:**
```python
from mem0 import MemoryClient
client = MemoryClient(api_key="m0-your-api-key")
```
**Python (Async):**
```python
from mem0 import AsyncMemoryClient
client = AsyncMemoryClient(api_key="m0-your-api-key")
```
**TypeScript:**
```typescript
import MemoryClient from 'mem0ai';
const client = new MemoryClient({ apiKey: 'm0-your-api-key' });
```
Constructor accepts `apiKey` (required) and `host` (optional, default: `https://api.mem0.ai`).
---
## add() -- Store Memories
**Python:**
```python
messages = [
{"role": "user", "content": "I'm a vegetarian and allergic to nuts."},
{"role": "assistant", "content": "Got it! I'll remember that."}
]
client.add(messages, user_id="alice")
# With metadata
client.add(messages, user_id="alice", metadata={"source": "onboarding"})
```
**TypeScript:**
```typescript
await client.add(messages, { userId: "alice" });
await client.add(messages, { userId: "alice", metadata: { source: "onboarding" } });
```
### Parameters
| Name | Type | Description |
|------|------|-------------|
| `messages` | array | `[{"role": "user", "content": "..."}]` |
| `user_id` | string | User identifier (recommended) |
| `agent_id` | string | Agent identifier |
| `run_id` | string | Session identifier |
| `metadata` | object | Custom key-value pairs |
| `infer` | boolean | If `false`, store raw text without inference (default: `true`) |
### Advanced Add Options
```python
# Agent + session scoping
client.add(messages, user_id="alice", agent_id="nutrition-agent", run_id="session-456")
# Raw text -- skip LLM inference
client.add(
[{"role": "user", "content": "User prefers dark mode."}],
user_id="alice",
infer=False,
)
```
---
## search() -- Find Memories
**Python:**
```python
results = client.search("dietary preferences?", filters={"user_id": "alice"})
# With filters and reranking
results = client.search(
query="work experience",
filters={"AND": [{"user_id": "alice"}, {"categories": {"contains": "professional_details"}}]},
top_k=5,
rerank=True,
threshold=0.5
)
```
**TypeScript:**
```typescript
const results = await client.search("dietary preferences", { filters: { user_id: "alice" } });
const results = await client.search("work experience", {
filters: { AND: [{ user_id: "alice" }, { categories: { contains: "professional_details" } }] },
topK: 5,
rerank: true,
});
```
### Parameters
| Name | Type | Description |
|------|------|-------------|
| `query` | string | Natural language search query |
| `filters` | object | Filter object (AND/OR operators). Use `{"user_id": "..."}` to filter by user |
| `top_k` | number | Number of results (default: 10 for Platform) |
| `rerank` | boolean | Enable reranking for better relevance (default: `false`) |
| `threshold` | number | Minimum similarity score (default: 0.1) |
### Common Filter Patterns
**Python:**
```python
# Single user filter
filters={"user_id": "alice"}
# OR across agents
filters={"OR": [{"user_id": "alice"}, {"agent_id": {"in": ["travel-agent", "sports-agent"]}}]}
# Category filtering (partial match)
filters={"AND": [{"user_id": "alice"}, {"categories": {"contains": "finance"}}]}
# Category filtering (exact match)
filters={"AND": [{"user_id": "alice"}, {"categories": {"in": ["personal_information"]}}]}
# Wildcard (match any non-null run)
filters={"AND": [{"user_id": "alice"}, {"run_id": "*"}]}
# Date range
filters={"AND": [
{"user_id": "alice"},
{"created_at": {"gte": "2024-01-01T00:00:00Z"}},
{"created_at": {"lt": "2024-02-01T00:00:00Z"}}
]}
# Exclude categories with NOT
filters={"AND": [{"user_id": "user_123"}, {"NOT": {"categories": {"in": ["spam", "test"]}}}]}
# Multi-dimensional query
filters={"AND": [
{"user_id": "user_123"},
{"keywords": {"icontains": "invoice"}},
{"categories": {"in": ["finance"]}},
{"created_at": {"gte": "2024-01-01T00:00:00Z"}}
]}
```
**TypeScript:**
```typescript
// Single user filter
filters: { user_id: "alice" }
// OR across agents
filters: { OR: [{ user_id: "alice" }, { agent_id: { in: ["travel-agent", "sports-agent"] } }] }
// Category filtering (partial match)
filters: { AND: [{ user_id: "alice" }, { categories: { contains: "finance" } }] }
// Category filtering (exact match)
filters: { AND: [{ user_id: "alice" }, { categories: { in: ["personal_information"] } }] }
```
---
## get() / getAll() -- Retrieve Memories
**Python:**
```python
# Single memory by ID
memory = client.get(memory_id="ea925981-...")
# All memories for a user
memories = client.get_all(filters={"user_id": "alice"})
# With date range
memories = client.get_all(
filters={"AND": [
{"user_id": "alex"},
{"created_at": {"gte": "2024-07-01", "lte": "2024-07-31"}}
]}
)
```
**TypeScript:**
```typescript
const memory = await client.get("ea925981-...");
const memories = await client.getAll({ filters: { user_id: "alice" } });
```
**Note:** `get_all` requires at least one of `user_id`, `agent_id`, `app_id`, or `run_id` in filters.
---
## update() -- Modify Memories
**Python:**
```python
client.update(memory_id="ea925981-...", text="Updated: vegan since 2024")
client.update(memory_id="ea925981-...", text="Updated", metadata={"verified": True})
```
**TypeScript:**
```typescript
await client.update("ea925981-...", { text: "Updated: vegan since 2024" });
```
---
## delete() / deleteAll() -- Remove Memories
**Python:**
```python
client.delete(memory_id="ea925981-...")
client.delete_all(user_id="alice") # Irreversible bulk delete
```
**TypeScript:**
```typescript
await client.delete("ea925981-...");
await client.deleteAll({ userId: "alice" });
```
---
## history() -- Track Changes
**Python:**
```python
history = client.history(memory_id="ea925981-...")
# Returns: [{previous_value, new_value, action, timestamps}]
```
**TypeScript:**
```typescript
const history = await client.history("ea925981-...");
```
---
## Batch Operations (TypeScript)
```typescript
// Batch update
await client.batchUpdate([
{ memoryId: "uuid-1", text: "Updated text" },
{ memoryId: "uuid-2", text: "Another updated text" },
]);
// Batch delete
await client.batchDelete(["uuid-1", "uuid-2", "uuid-3"]);
```
---
## Additional Methods
```python
# List all users/agents/sessions with memories
users = client.users()
# Delete a user/agent entity
client.delete_users(user_id="alice")
# Submit feedback on a memory
client.feedback(memory_id="...", feedback="POSITIVE", feedback_reason="Accurate extraction")
# Export memories
export = client.create_memory_export(filters={"AND": [{"user_id": "alice"}]})
data = client.get_memory_export(memory_export_id=export["id"])
```
---
## Common Pitfalls
1. **Entity cross-filtering fails silently** -- `AND` with `user_id` + `agent_id` returns empty. Use `OR`.
2. **SQL operators rejected** -- use `gte`, `lt`, etc. Not `>=`, `<`.
3. **Metadata filtering is limited** -- only top-level keys with `eq`, `contains`, `ne`.
4. **Wildcard `*` excludes null** -- only matches non-null values.
5. **Default threshold is 0.1** -- increase for stricter matching.
6. **Async processing** -- memories process asynchronously. Wait 2-3s after `add()` before searching.
## Naming Conventions
Python uses `snake_case` everywhere (`user_id`, `memory_id`, `get_all`). TypeScript uses `camelCase` for methods (`getAll`, `deleteAll`, `batchUpdate`) and top-level parameters (`userId`, `topK`, `pageSize`), but filter keys use `snake_case` (`user_id`, `agent_id`).
---
## v2 to v3 Migration
### Breaking Changes in v3
**1. Entity IDs in search() and getAll()**
v3 requires entity IDs (`user_id`, `agent_id`, `run_id`) inside `filters` instead of as top-level parameters:
```python
# v2 (deprecated)
client.search("query", user_id="alice")
client.get_all(user_id="alice")
# v3
client.search("query", filters={"user_id": "alice"})
client.get_all(filters={"user_id": "alice"})
```
```typescript
// v2 (deprecated)
await client.search("query", { user_id: "alice" });
await client.getAll({ user_id: "alice" });
// v3
await client.search("query", { filters: { user_id: "alice" } });
await client.getAll({ filters: { user_id: "alice" } });
```
**2. TypeScript Parameter Naming**
v3 TypeScript uses camelCase for all parameters:
| v2 | v3 |
|----|-----|
| `user_id` | `userId` |
| `agent_id` | `agentId` |
| `run_id` | `runId` |
| `top_k` | `topK` |
| `page_size` | `pageSize` |
**3. Default Values Changed**
| Parameter | v2 Default | v3 Default |
|-----------|------------|------------|
| `threshold` | 0.3 | 0.1 |
| `rerank` | (not specified) | `false` |
**4. Removed Parameters**
The following parameters are no longer supported:
| Parameter | Status |
|-----------|--------|
| `enable_graph` | Removed from add/search/getAll |
| `keyword_search` | Removed from search |
| `filter_memories` | Removed |
| `immutable` | Removed from add |
| `expiration_date` | Removed from add |
| `includes` | Removed from add |
| `excludes` | Removed from add |
| `async_mode` | Removed from add |