Copilot Memory FAQs

Question 1

What kind of memory management tools does it offer?

Accepted Answer

Copilot Memory includes a suite of MCP (Memory Control Protocol) tools, enabling users to create, search, update, delete, and list memories. This provides granular control over Copilot's persistent knowledge base.

Question 2

What is Copilot Memory?

Accepted Answer

Copilot Memory provides persistent, project-scoped semantic memory capabilities for GitHub Copilot within VS Code, allowing the AI to retain context and learned information across different sessions.

Question 3

Does it use semantic search for memory retrieval?

Accepted Answer

Yes, Copilot Memory employs semantic search (Retrieval Augmented Generation - RAG) using `all-MiniLM-L6-v2` embeddings. This allows Copilot to intelligently retrieve relevant information from its memory based on meaning, not just keywords.

Question 4

How does Copilot Memory enhance GitHub Copilot's capabilities?

Accepted Answer

By providing a durable, searchable knowledge base, Copilot Memory prevents GitHub Copilot from starting with a 'blank slate' each session. It ensures project-specific decisions, conventions, and context carry over, leading to more consistent and efficient AI assistance.

Question 5

How does Copilot Memory ensure data privacy?

Accepted Answer

It operates entirely locally within a single Docker container, utilizing an embedded ChromaDB. This architecture ensures all your data remains on your machine with no cloud dependencies, guaranteeing maximum privacy.

Copilot Memory

Copilot Memory

主要功能

使用案例

主要功能

使用案例