Dropping User Memory (#3225)
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* Dropping User Memory

* Dropping checks for user memory

* changed memory.mdx documentation removed user memory.

* Flaky Test Case Maybe

* Drop memory_config

* Fixed test cases

* Fixed some test cases

* Changed docs

* Changed BR docs

* Docs fixing

* Fix minor doc

* Fix minor doc

* Fix minor doc

* Added fallback mechanism in Mem0
This commit is contained in:
Vidit Ostwal
2025-08-06 22:38:10 +05:30
committed by GitHub
parent 1d9523c98f
commit 7ce20cfcc6
17 changed files with 224 additions and 541 deletions

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@@ -9,8 +9,7 @@ icon: database
The CrewAI framework provides a sophisticated memory system designed to significantly enhance AI agent capabilities. CrewAI offers **three distinct memory approaches** that serve different use cases:
1. **Basic Memory System** - Built-in short-term, long-term, and entity memory
2. **User Memory** - User-specific memory with Mem0 integration (legacy approach)
3. **External Memory** - Standalone external memory providers (new approach)
2. **External Memory** - Standalone external memory providers
## Memory System Components
@@ -19,7 +18,7 @@ The CrewAI framework provides a sophisticated memory system designed to signific
| **Short-Term Memory**| Temporarily stores recent interactions and outcomes using `RAG`, enabling agents to recall and utilize information relevant to their current context during the current executions.|
| **Long-Term Memory** | Preserves valuable insights and learnings from past executions, allowing agents to build and refine their knowledge over time. |
| **Entity Memory** | Captures and organizes information about entities (people, places, concepts) encountered during tasks, facilitating deeper understanding and relationship mapping. Uses `RAG` for storing entity information. |
| **Contextual Memory**| Maintains the context of interactions by combining `ShortTermMemory`, `LongTermMemory`, and `EntityMemory`, aiding in the coherence and relevance of agent responses over a sequence of tasks or a conversation. |
| **Contextual Memory**| Maintains the context of interactions by combining `ShortTermMemory`, `LongTermMemory`, `ExternalMemory` and `EntityMemory`, aiding in the coherence and relevance of agent responses over a sequence of tasks or a conversation. |
## 1. Basic Memory System (Recommended)
@@ -202,7 +201,7 @@ crew = Crew(
tasks=[task],
memory=True,
embedder={
"provider": "anthropic", # Match your LLM provider
"provider": "anthropic", # Match your LLM provider
"config": {
"api_key": "your-anthropic-key",
"model": "text-embedding-3-small"
@@ -684,81 +683,18 @@ print(f"OpenAI: {openai_time:.2f}s")
print(f"Ollama: {ollama_time:.2f}s")
```
## 2. User Memory with Mem0 (Legacy)
## 2. External Memory
External Memory provides a standalone memory system that operates independently from the crew's built-in memory. This is ideal for specialized memory providers or cross-application memory sharing.
<Warning>
**Legacy Approach**: While fully functional, this approach is considered legacy. For new projects requiring user-specific memory, consider using External Memory instead.
</Warning>
User Memory integrates with [Mem0](https://mem0.ai/) to provide user-specific memory that persists across sessions and integrates with the crew's contextual memory system.
### Prerequisites
```bash
pip install mem0ai
```
### Mem0 Cloud Configuration
### Basic External Memory with Mem0
```python
import os
from crewai import Crew, Process
from crewai import Agent, Crew, Process, Task
from crewai.memory.external.external_memory import ExternalMemory
# Set your Mem0 API key
os.environ["MEM0_API_KEY"] = "m0-your-api-key"
crew = Crew(
agents=[...],
tasks=[...],
memory=True, # Required for contextual memory integration
memory_config={
"provider": "mem0",
"config": {"user_id": "john"},
"user_memory": {} # DEPRECATED: Will be removed in version 0.156.0 or on 2025-08-04, use external_memory instead
},
process=Process.sequential,
verbose=True
)
```
### Advanced Mem0 Configuration
When using Mem0 Client, you can customize the memory configuration further, by using parameters like 'includes', 'excludes', 'custom_categories', 'infer' and 'run_id' (this is only for short-term memory).
You can find more details in the [Mem0 documentation](https://docs.mem0.ai/).
```python
new_categories = [
{"lifestyle_management_concerns": "Tracks daily routines, habits, hobbies and interests including cooking, time management and work-life balance"},
{"seeking_structure": "Documents goals around creating routines, schedules, and organized systems in various life areas"},
{"personal_information": "Basic information about the user including name, preferences, and personality traits"}
]
crew = Crew(
agents=[...],
tasks=[...],
memory=True,
memory_config={
"provider": "mem0",
"config": {
"user_id": "john",
"org_id": "my_org_id", # Optional
"project_id": "my_project_id", # Optional
"api_key": "custom-api-key" # Optional - overrides env var
"run_id": "my_run_id", # Optional - for short-term memory
"includes": "include1", # Optional
"excludes": "exclude1", # Optional
"infer": True # Optional defaults to True
"custom_categories": new_categories # Optional - custom categories for user memory
},
"user_memory": {}
}
)
```
### Local Mem0 Configuration
```python
crew = Crew(
agents=[...],
tasks=[...],
memory=True,
memory_config={
# Create external memory instance with local Mem0 Configuration
external_memory = ExternalMemory(
embedder_config={
"provider": "mem0",
"config": {
"user_id": "john",
@@ -776,37 +712,59 @@ crew = Crew(
"config": {"api_key": "your-api-key", "model": "text-embedding-3-small"}
}
},
"infer": True # Optional defaults to True
"infer": True # Optional defaults to True
},
"user_memory": {}
}
)
```
## 3. External Memory (New Approach)
External Memory provides a standalone memory system that operates independently from the crew's built-in memory. This is ideal for specialized memory providers or cross-application memory sharing.
### Basic External Memory with Mem0
```python
import os
from crewai import Agent, Crew, Process, Task
from crewai.memory.external.external_memory import ExternalMemory
os.environ["MEM0_API_KEY"] = "your-api-key"
# Create external memory instance
external_memory = ExternalMemory(
embedder_config={
"provider": "mem0",
"config": {"user_id": "U-123"}
}
)
crew = Crew(
agents=[...],
tasks=[...],
external_memory=external_memory, # Separate from basic memory
external_memory=external_memory, # Separate from basic memory
process=Process.sequential,
verbose=True
)
```
### Advanced External Memory with Mem0 Client
When using Mem0 Client, you can customize the memory configuration further, by using parameters like 'includes', 'excludes', 'custom_categories', 'infer' and 'run_id' (this is only for short-term memory).
You can find more details in the [Mem0 documentation](https://docs.mem0.ai/).
```python
import os
from crewai import Agent, Crew, Process, Task
from crewai.memory.external.external_memory import ExternalMemory
new_categories = [
{"lifestyle_management_concerns": "Tracks daily routines, habits, hobbies and interests including cooking, time management and work-life balance"},
{"seeking_structure": "Documents goals around creating routines, schedules, and organized systems in various life areas"},
{"personal_information": "Basic information about the user including name, preferences, and personality traits"}
]
os.environ["MEM0_API_KEY"] = "your-api-key"
# Create external memory instance with Mem0 Client
external_memory = ExternalMemory(
embedder_config={
"provider": "mem0",
"config": {
"user_id": "john",
"org_id": "my_org_id", # Optional
"project_id": "my_project_id", # Optional
"api_key": "custom-api-key" # Optional - overrides env var
"run_id": "my_run_id", # Optional - for short-term memory
"includes": "include1", # Optional
"excludes": "exclude1", # Optional
"infer": True # Optional defaults to True
"custom_categories": new_categories # Optional - custom categories for user memory
},
}
)
crew = Crew(
agents=[...],
tasks=[...],
external_memory=external_memory, # Separate from basic memory
process=Process.sequential,
verbose=True
)
@@ -845,17 +803,18 @@ crew = Crew(
)
```
## Memory System Comparison
## 🧠 Memory System Comparison
| **Category** | **Feature** | **Basic Memory** | **External Memory** |
|---------------------|------------------------|-----------------------------|------------------------------|
| **Ease of Use** | Setup Complexity | Simple | Moderate |
| | Integration | Built-in (contextual) | Standalone |
| **Persistence** | Storage | Local files | Custom / Mem0 |
| | Cross-session Support | ✅ | ✅ |
| **Personalization** | User-specific Memory | ❌ | ✅ |
| | Custom Providers | Limited | Any provider |
| **Use Case Fit** | Recommended For | Most general use cases | Specialized / custom needs |
| Feature | Basic Memory | User Memory (Legacy) | External Memory |
|---------|-------------|---------------------|----------------|
| **Setup Complexity** | Simple | Medium | Medium |
| **Integration** | Built-in contextual | Contextual + User-specific | Standalone |
| **Storage** | Local files | Mem0 Cloud/Local | Custom/Mem0 |
| **Cross-session** | ✅ | ✅ | ✅ |
| **User-specific** | ❌ | ✅ | ✅ |
| **Custom providers** | Limited | Mem0 only | Any provider |
| **Recommended for** | Most use cases | Legacy projects | Specialized needs |
## Supported Embedding Providers