Addition of Simple Memory System Based on ChromaDB

[Swiftyos]

This PR introduces a simple memory system, MemStore, built on top of ChromaDB. ChromaDB was chosen as the underlying database due to its SQLite-based design, which makes it an excellent choice for development use.

The MemStore class provides a straightforward interface for interacting with the underlying ChromaDB database. It includes methods for adding, querying, retrieving, updating, and deleting documents in the memory store.

Here's a brief overview of the key methods:

• add(task_id: str, document: str, metadatas: dict) -> None: This method adds a document to the memory store. The document is associated with a task ID and can include additional metadata.

• query(task_id: str, query: str, filters: dict = None, document_search: dict = None) -> dict: This method allows querying the memory store. It supports filtering and document-specific search.

• get(task_id: str, doc_ids: list = None, filters: dict = None) -> dict: This method retrieves documents from the memory store based on their IDs or optional filters.

• update(task_id: str, doc_ids: list, documents: list, metadatas: list): This method updates documents in the memory store. It requires the IDs of the documents to be updated, the updated documents, and the updated metadata.

• delete(task_id: str, doc_id: str): This method deletes a document from the memory store based on its ID.

The MemStore class is designed to be easy to use and flexible, making it a valuable tool for managing in-memory data during development. The use of ChromaDB as the underlying database ensures robustness and reliability.

Please review the changes and provide your feedback.

[github-actions]

PR Analysis

• 🎯 Main theme: Addition of a simple memory system based on ChromaDB
• 📝 PR summary: This PR introduces a new memory system, MemStore, built on top of ChromaDB. The MemStore class provides methods for adding, querying, retrieving, updating, and deleting documents in the memory store. It also includes tests for the new functionality.
• 📌 Type of PR: Enhancement
• 🧪 Relevant tests added: Yes

PR Feedback

• 💡 General suggestions: The PR is well-structured and the code is clean. The use of ChromaDB as the underlying database for the memory store is a good choice for development use. The methods provided by the MemStore class are comprehensive and cover all the necessary operations for a memory store. However, it would be beneficial to add some error handling and logging for better debugging and traceability.

• 🤖 Code feedback:

  • relevant file: forge/autogpt/sdk/memory/memstore.py
    suggestion: Consider adding error handling for operations that might fail, such as database operations. This can help to prevent the application from crashing and provide more informative error messages. [important]
    relevant line: '+ collection.add(documents=[document], metadatas=[metadatas], ids=[doc_id])'

  • relevant file: forge/autogpt/sdk/memory/memstore.py
    suggestion: Consider adding logging to track the flow of operations and make it easier to debug issues. [medium]
    relevant line: '+ collection = self.client.get_or_create_collection(task_id)'

  • relevant file: forge/autogpt/sdk/memory/memstore.py
    suggestion: Consider validating the inputs to the methods to ensure they meet the expected format and type. This can help to catch errors early and prevent unexpected behavior. [medium]
    relevant line: '+ def add(self, task_id: str, document: str, metadatas: dict) -> None:'

  • relevant file: forge/autogpt/sdk/memory/memstore.py
    suggestion: Consider adding a method to close the connection to the database when the MemStore is no longer needed. This can help to free up resources. [medium]
    relevant line: '+ self.client = chromadb.PersistentClient(

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