---
title: API Reference Changes
description: "Comprehensive reference of all API changes between Mem0 v0.x and v1.0.0 Beta, organized by component and method."
icon: "code"
iconType: "solid"
---

## Overview

This page documents all API changes between Mem0 v0.x and v1.0.0 Beta, organized by component and method.

## Memory Class Changes

### Constructor

#### v0.x
```python
from mem0 import Memory

# Basic initialization
m = Memory()

# With configuration
config = {
    "version": "v1.0",  # Supported in v0.x
    "vector_store": {...}
}
m = Memory.from_config(config)
```

#### v1.0.0 
```python
from mem0 import Memory

# Basic initialization (same)
m = Memory()

# With configuration
config = {
    "version": "v1.1",  # v1.1+ only
    "vector_store": {...},
    # New optional features
    "reranker": {
        "provider": "cohere",
        "config": {...}
    }
}
m = Memory.from_config(config)
```

### add() Method

#### v0.x Signature
```python
def add(
    self,
    messages,
    user_id: str = None,
    agent_id: str = None,
    run_id: str = None,
    metadata: dict = None,
    filters: dict = None,
    output_format: str = None,  # ❌ REMOVED
    version: str = None         # ❌ REMOVED
) -> Union[List[dict], dict]
```

#### v1.0.0  Signature
```python
def add(
    self,
    messages,
    user_id: str = None,
    agent_id: str = None,
    run_id: str = None,
    metadata: dict = None,
    filters: dict = None,
    infer: bool = True          # ✅ NEW: Control memory inference
) -> dict  # Always returns dict with "results" key
```

#### Changes Summary

| Parameter | v0.x | v1.0.0  | Change |
|-----------|------|-----------|---------|
| `messages` | ✅ | ✅ | Unchanged |
| `user_id` | ✅ | ✅ | Unchanged |
| `agent_id` | ✅ | ✅ | Unchanged |
| `run_id` | ✅ | ✅ | Unchanged |
| `metadata` | ✅ | ✅ | Unchanged |
| `filters` | ✅ | ✅ | Unchanged |
| `output_format` | ✅ | ❌ | **REMOVED** |
| `version` | ✅ | ❌ | **REMOVED** |
| `infer` | ❌ | ✅ | **NEW** |

#### Response Format Changes

**v0.x Response (variable format):**
```python
# With output_format="v1.0"
[
    {
        "id": "mem_123",
        "memory": "User loves pizza",
        "event": "ADD"
    }
]

# With output_format="v1.1"
{
    "results": [
        {
            "id": "mem_123",
            "memory": "User loves pizza",
            "event": "ADD"
        }
    ]
}
```

**v1.0.0  Response (standardized):**
```python
# Always returns this format
{
    "results": [
        {
            "id": "mem_123",
            "memory": "User loves pizza",
            "metadata": {...},
            "event": "ADD"
        }
    ]
}
```

### search() Method

#### v0.x Signature
```python
def search(
    self,
    query: str,
    user_id: str = None,
    agent_id: str = None,
    run_id: str = None,
    limit: int = 100,
    filters: dict = None,       # Basic key-value only
    output_format: str = None,  # ❌ REMOVED
    version: str = None         # ❌ REMOVED
) -> Union[List[dict], dict]
```

#### v1.0.0  Signature
```python
def search(
    self,
    query: str,
    user_id: str = None,
    agent_id: str = None,
    run_id: str = None,
    limit: int = 100,
    filters: dict = None,       # ✅ ENHANCED: Advanced operators
    rerank: bool = True         # ✅ NEW: Reranking support
) -> dict  # Always returns dict with "results" key
```

#### Enhanced Filtering

**v0.x Filters (basic):**
```python
# Simple key-value filtering only
filters = {
    "category": "food",
    "user_id": "alice"
}
```

**v1.0.0  Filters (enhanced):**
```python
# Advanced filtering with operators
filters = {
    "AND": [
        {"category": "food"},
        {"score": {"gte": 0.8}},
        {
            "OR": [
                {"priority": "high"},
                {"urgent": True}
            ]
        }
    ]
}

# Comparison operators
filters = {
    "score": {"gt": 0.5},      # Greater than
    "priority": {"gte": 5},     # Greater than or equal
    "rating": {"lt": 3},        # Less than
    "confidence": {"lte": 0.9}, # Less than or equal
    "status": {"eq": "active"}, # Equal
    "archived": {"ne": True},   # Not equal
    "tags": {"in": ["work", "personal"]},     # In list
    "category": {"nin": ["spam", "deleted"]}  # Not in list
}
```

### get_all() Method

#### v0.x Signature
```python
def get_all(
    self,
    user_id: str = None,
    agent_id: str = None,
    run_id: str = None,
    filters: dict = None,
    output_format: str = None,  # ❌ REMOVED
    version: str = None         # ❌ REMOVED
) -> Union[List[dict], dict]
```

#### v1.0.0  Signature
```python
def get_all(
    self,
    user_id: str = None,
    agent_id: str = None,
    run_id: str = None,
    filters: dict = None        # ✅ ENHANCED: Advanced operators
) -> dict  # Always returns dict with "results" key
```

### update() Method

#### No Breaking Changes
```python
# Same signature in both versions
def update(
    self,
    memory_id: str,
    data: str
) -> dict
```

### delete() Method

#### No Breaking Changes
```python
# Same signature in both versions
def delete(
    self,
    memory_id: str
) -> dict
```

### delete_all() Method

#### Breaking Change — Empty filter no longer silently deletes everything

**Before:** calling `delete_all()` with no filters silently deleted **all memories in the project**.

**After:**
- No filters → raises a validation error (prevents accidental full-project wipe).
- Concrete ID (e.g. `user_id="alice"`) → deletes memories for that entity (unchanged).
- `"*"` for a filter → deletes all memories for that entity type across the project (new).
- All four filters set to `"*"` → explicit full project wipe (new, requires opt-in on every parameter).

This change replaces the silent full-project delete (triggered by an empty or missing filter) with a validation error, and introduces `"*"` wildcards as the intentional path for bulk deletion.

```python
# v0.x — no filter silently wiped all project memories
m.delete_all()                      # DANGER: deleted everything
m.delete_all(user_id="alice")       # deleted alice's memories

# v1.x — no filter now raises an error; use "*" for intentional bulk deletes
m.delete_all()                                                       # ERROR: at least one filter required
m.delete_all(user_id="alice")                                        # unchanged
m.delete_all(user_id="*")                                            # NEW — delete all users' memories
m.delete_all(user_id="*", agent_id="*", app_id="*", run_id="*")     # NEW — full project wipe
```

## Platform Client (MemoryClient) Changes

### async_mode Default Changed

#### v0.x
```python
from mem0 import MemoryClient

client = MemoryClient(api_key="your-key")

# async_mode had to be explicitly set or had different default
result = client.add("content", user_id="alice", async_mode=True)
```

#### v1.0.0
```python
from mem0 import MemoryClient

client = MemoryClient(api_key="your-key")

# async_mode defaults to True now (better performance)
result = client.add("content", user_id="alice")  # Uses async_mode=True by default

# Can still override if needed
result = client.add("content", user_id="alice", async_mode=False)
```

## Configuration Changes

### Memory Configuration

#### v0.x Config Options
```python
config = {
    "vector_store": {...},
    "llm": {...},
    "embedder": {...},
    "graph_store": {...},
    "version": "v1.0",              # ❌ v1.0 no longer supported
    "history_db_path": "...",
    "custom_fact_extraction_prompt": "..."
}
```

#### v1.0.0  Config Options
```python
config = {
    "vector_store": {...},
    "llm": {...},
    "embedder": {...},
    "graph_store": {...},
    "reranker": {                   # ✅ NEW: Reranker support
        "provider": "cohere",
        "config": {...}
    },
    "version": "v1.1",              # ✅ v1.1+ only
    "history_db_path": "...",
    "custom_fact_extraction_prompt": "...",
    "custom_update_memory_prompt": "..."  # ✅ NEW: Custom update prompt
}
```

### New Configuration Options

#### Reranker Configuration
```python
# Cohere reranker
"reranker": {
    "provider": "cohere",
    "config": {
        "model": "rerank-english-v3.0",
        "api_key": "your-api-key",
        "top_k": 10
    }
}

# Sentence Transformer reranker
"reranker": {
    "provider": "sentence_transformer",
    "config": {
        "model": "cross-encoder/ms-marco-MiniLM-L-6-v2",
        "device": "cuda"
    }
}

# Hugging Face reranker
"reranker": {
    "provider": "huggingface",
    "config": {
        "model": "BAAI/bge-reranker-base",
        "device": "cuda"
    }
}

# LLM-based reranker
"reranker": {
    "provider": "llm_reranker",
    "config": {
        "llm": {
            "provider": "openai",
            "config": {
                "model": "gpt-4",
                "api_key": "your-api-key"
            }
        }
    }
}
```

## Error Handling Changes

### New Error Types

#### v0.x Errors
```python
# Generic exceptions
try:
    result = m.add("content", user_id="alice", version="v1.0")
except Exception as e:
    print(f"Error: {e}")
```

#### v1.0.0  Errors
```python
# More specific error handling
try:
    result = m.add("content", user_id="alice")
except ValueError as e:
    if "v1.0 API format is no longer supported" in str(e):
        # Handle version compatibility error
        pass
    elif "Invalid filter operator" in str(e):
        # Handle filter syntax error
        pass
except TypeError as e:
    # Handle parameter errors
    pass
except Exception as e:
    # Handle unexpected errors
    pass
```

### Validation Changes

#### Stricter Parameter Validation

**v0.x (Lenient):**
```python
# Unknown parameters might be ignored
result = m.add("content", user_id="alice", unknown_param="value")
```

**v1.0.0  (Strict):**
```python
# Unknown parameters raise TypeError
try:
    result = m.add("content", user_id="alice", unknown_param="value")
except TypeError as e:
    print(f"Invalid parameter: {e}")
```

## Response Schema Changes

### Memory Object Schema

#### v0.x Schema
```python
{
    "id": "mem_123",
    "memory": "User loves pizza",
    "user_id": "alice",
    "metadata": {...},
    "created_at": "2024-01-01T00:00:00Z",
    "updated_at": "2024-01-01T00:00:00Z",
    "score": 0.95  # In search results
}
```

#### v1.0.0  Schema (Enhanced)
```python
{
    "id": "mem_123",
    "memory": "User loves pizza",
    "user_id": "alice",
    "agent_id": "assistant",     # ✅ More context
    "run_id": "session_001",     # ✅ More context
    "metadata": {...},
    "categories": ["food"],      # ✅ NEW: Auto-categorization
    "immutable": false,          # ✅ NEW: Immutability flag
    "created_at": "2024-01-01T00:00:00Z",
    "updated_at": "2024-01-01T00:00:00Z",
    "score": 0.95,              # In search results
    "rerank_score": 0.98        # ✅ NEW: If reranking used
}
```

## Migration Code Examples

### Simple Migration

#### Before (v0.x)
```python
from mem0 import Memory

m = Memory()

# Add with deprecated parameters
result = m.add(
    "I love pizza",
    user_id="alice",
    output_format="v1.1",
    version="v1.0"
)

# Handle variable response format
if isinstance(result, list):
    memories = result
else:
    memories = result.get("results", [])

for memory in memories:
    print(memory["memory"])
```

#### After (v1.0.0 )
```python
from mem0 import Memory

m = Memory()

# Add without deprecated parameters
result = m.add(
    "I love pizza",
    user_id="alice"
)

# Always dict format with "results" key
for memory in result["results"]:
    print(memory["memory"])
```

### Advanced Migration

#### Before (v0.x)
```python
# Basic filtering
results = m.search(
    "food preferences",
    user_id="alice",
    filters={"category": "food"},
    output_format="v1.1"
)
```

#### After (v1.0.0 )
```python
# Enhanced filtering with reranking
results = m.search(
    "food preferences",
    user_id="alice",
    filters={
        "AND": [
            {"category": "food"},
            {"score": {"gte": 0.8}}
        ]
    },
    rerank=True
)
```

## Summary

| Component | v0.x | v1.0.0  | Status |
|-----------|------|-----------|---------|
| `add()` method | Variable response | Standardized response | ⚠️ Breaking |
| `search()` method | Basic filtering | Enhanced filtering + reranking | ⚠️ Breaking |
| `get_all()` method | Variable response | Standardized response | ⚠️ Breaking |
| Response format | Variable | Always `{"results": [...]}` | ⚠️ Breaking |
| Reranking | ❌ Not available | ✅ Full support | ✅ New feature |
| Advanced filtering | ❌ Basic only | ✅ Full operators | ✅ Enhancement |
| Error handling | Generic | Specific error types | ✅ Improvement |

<Info>
Use this reference to systematically update your codebase. Test each change thoroughly before deploying to production.
</Info>