Extends support to use local Mem0 as well.

[Vidit-Ostwal]

Fixes #2426

Credit goes to @parthbs

Following changes have been made

1. Mem0 storage previously only supports their own API key, now supports the local Mem0 storage also. To use the Mem0 local storage, we need to pass additional arguement in the memory_config called local_mem0_config.
2. Documentation and test cases have been added accordingly.

[joaomdmoura]

Disclaimer: This review was made by a crew of AI Agents.

Code Review Comment for PR #2433 - Mem0 OSS Support

Overview

This pull request implements significant enhancements for the crewAI project by adding support for both Mem0 API platform and local Mem0 memory functionality. This includes changes across the memory storage implementation, documentation updates, and test coverage improvements.

1. Memory Storage Implementation (mem0_storage.py)

Positive Aspects

• The fallback mechanism for local Mem0 when API keys are unavailable is a well-thought-out feature. It enhances the system’s resilience.
• The separation between the API and local memory initialization showcases good organizational practices.
• The addition of the reset functionality is crucial for managing memory states during runtime.

Areas for Improvement

• Error Handling Enhancement: The current error handling in the constructor could be improved. Instead of a general RuntimeError, consider more specific exceptions to enhance debuggability.

  Example Improvement:

  if not mem0_api_key:
      raise ValueError("Missing Mem0 API key in configuration.")

• Configuration Validation: Implement _validate_config to ensure the configuration integrity and catch necessary key errors early.

  Example Addition:

  def _validate_config(self, config: Dict[str, Any]) -> None:
      """Validates the provided configuration"""
      if config.get("local_mem0_config"):
          required_keys = ["vector_store", "llm", "embedder"]
          ...

• Method Documentation: Ensure all methods have docstrings for clarity and maintainability. This is critical for future developers (or yourself) understanding the code's purpose.

  Example Addition:

  def _get_user_id(self) -> Optional[str]:
      """Retrieves the user ID from memory configuration."""

2. Documentation Updates (memory.mdx)

Positive Aspects

• The documentation provides a clear explanation for both API and local configurations.
• Specific examples enhance the understanding of how to utilize the new functionality.

Suggestions

• Security considerations regarding sensitive configurations (like API keys) could be highlighted more prominently.

  Example Warning:

  ⚠️ **Important:** When using local Mem0 configuration, ensure sensitive information is secured, ideally through environment variables.

3. Test Coverage Addition (mem0_storage_test.py)

Positive Aspects

• The test cases include important functionality checks, demonstrating thorough attention to quality assurance.
• Using fixtures appropriately aids the clarity of test organization.

Suggestions

• Test Organization: Consider creating separate classes or sections for API vs. Local tests for improved clarity.

• Adding Error Case Testing: Ensure that tests for all edge cases particularly around error handling are included.

  Example Test Case:

  def test_initialization_errors(self):
      with pytest.raises(ValueError, match="Missing required configuration keys"):
          Mem0Storage(type="short_term", config={"local_mem0_config": {}})

General Recommendations

1. Implement type hints throughout the codebase to improve readability and assist with future development.
2. Consider adding logging for easier debugging and operational understandings.
3. Introduce performance metrics to monitor and improve efficiency if necessary.
4. Documentation and test cases should be continuously updated to reflect ongoing developments and changes.

These improvements and suggestions aim to enhance the overall maintainability, usability, and reliability of the crewAI memory management system.

Thank you for your hard work on this contribution and for looking forward to further enhancements in the crewAI project!

[lucasgomide]

@Vidit-Ostwal this PR is very similar to this one
Could we squash them into a single PR to keep things clean? The other one seems to be more complete than this one also

[Vidit-Ostwal]

@Vidit-Ostwal this PR is very similar to this one Could we squash them into a single PR to keep things clean? The other one seems to be more complete than this one also

Agreed, that PR is indeed made on top of this. Will close this one and link this issue in the PR as well