Integrate Mem0

docs/core-concepts/Collaboration.md

@@ -25,6 +25,7 @@ The `Crew` class has been enriched with several attributes to support advanced f
 - **Crew Sharing (`share_crew`)**: Enables sharing of crew information with CrewAI for continuous improvement and training models. The privacy implications and benefits of this feature, including how it contributes to model improvement, should be outlined.
 - **Usage Metrics (`usage_metrics`)**: Stores all metrics for the language model (LLM) usage during all tasks' execution, providing insights into operational efficiency and areas for improvement. Detailed information on accessing and interpreting these metrics for performance analysis should be provided.
 - **Memory Usage (`memory`)**: Indicates whether the crew should use memory to store memories of its execution, enhancing task execution and agent learning.
+- **Memory Provider (`memory_provider`)**: Specifies the memory provider to be used by the crew for storing memories.
 - **Embedder Configuration (`embedder`)**: Specifies the configuration for the embedder to be used by the crew for understanding and generating language. This attribute supports customization of the language model provider.
 - **Cache Management (`cache`)**: Determines whether the crew should use a cache to store the results of tool executions, optimizing performance.
 - **Output Logging (`output_log_file`)**: Specifies the file path for logging the output of the crew execution.

docs/core-concepts/Crews.md

@@ -22,6 +22,7 @@ A crew in crewAI represents a collaborative group of agents working together to
 | **Language** _(optional)_             | `language`             | Language used for the crew, defaults to English.                                                                                                                                                                                                          |
 | **Language File** _(optional)_        | `language_file`        | Path to the language file to be used for the crew.                                                                                                                                                                                                        |
 | **Memory** _(optional)_               | `memory`               | Utilized for storing execution memories (short-term, long-term, entity memory).                                                                                                                                                                           |
+| **Memory Provider** _(optional)_      | `memory_provider`      | Specifies the memory provider to be used by the crew for storing memories.                                                                                                                                                                              |
 | **Cache** _(optional)_                | `cache`                | Specifies whether to use a cache for storing the results of tools' execution.                                                                                                                                                                             |
 | **Embedder** _(optional)_             | `embedder`             | Configuration for the embedder to be used by the crew. Mostly used by memory for now.                                                                                                                                                                     |
 | **Full Output** _(optional)_          | `full_output`          | Whether the crew should return the full output with all tasks outputs or just the final output.                                                                                                                                                           |

docs/core-concepts/Memory.md

@@ -197,6 +197,25 @@ crewai reset_memories [OPTIONS]
   - **Type:** Flag (boolean)
   - **Default:** False
 
+## Use Mem0 to store memories
+[Mem0](https://www.mem0.ai/) enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. Mem0 remembers user preferences, adapts to individual needs, and continuously improves over time, making it ideal for customer support chatbots, AI assistants, and autonomous systems.
+
+In order to use Mem0 as the memory provider for your crew, you will have to set `MEM0_API_KEY` as an environment variable. Refer to the [Mem0 documentation](https://docs.mem0.ai/platform/quickstart) for more information on how to obtain an API key.
+
+### Example: Using Mem0 as the Memory Provider
+```python
+from crewai import Crew, Agent, Task, Process
+
+my_crew = Crew(
+		agents=[...],
+		tasks=[...],
+		process=Process.sequential,
+		memory=True,
+		verbose=True,
+		memory_provider="mem0"
+)
+```
+
 ## Benefits of Using crewAI's Memory System
 - **Adaptive Learning:** Crews become more efficient over time, adapting to new information and refining their approach to tasks.
 - **Enhanced Personalization:** Memory enables agents to remember user preferences and historical interactions, leading to personalized experiences.