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GitHub Copilot continues to evolve beyond a coding assistant. One of its most interesting capabilities is GitHub Copilot Memory, a feature designed to help Copilot learn from previous interactions and provide more relevant assistance over time. According to GitHub documentation, Copilot Memory helps Copilot become more effective by remembering repository-specific facts and personal coding preferences.
In this article, youโll learn:
- What GitHub Copilot Memory is
- How Copilot Memory works
- A simple real-world example
- Benefits of using Memory
- How to enable Memory
- Current availability of the feature
What Is GitHub Copilot Memory?
GitHub Copilot Memory is a feature that allows Copilot to remember important details about your repositories and coding preferences so it can provide more context-aware assistance in future interactions. GitHub states that Memory can store repository-level facts such as coding conventions, architectural decisions, build commands, and project-specific rules, as well as user-level preferences.
Instead of starting from scratch every time, Copilot gradually builds an understanding of your project and applies that knowledge later.
This is a part of new Copilot Studio experience which is in preview mode as of October 2026.
Think of It Like Training a New Developer
The simplest way to understand GitHub Copilot Memory is to imagine a new developer joining your project.
When a new team member starts:
- You explain the project structure.
- You share coding standards.
- You teach best practices.
- You explain business requirements.
Over time, that developer remembers what was taught and becomes more productive.
GitHub Copilot Memory works in a very similar way. It learns important project information from your interactions, remembers it, and uses it to provide better assistance in future tasks.
How GitHub Copilot Memory Works
The process is straightforward:
Step 1: You Work with Copilot
You ask questions, generate code, review code, and provide project context.
Step 2: Copilot Learns
Copilot identifies important repository information such as:
- Coding standards
- Architecture patterns
- Project rules
- Development preferences
GitHub documentation notes that Copilot can capture repository-level facts and personal preferences as memories.
Step 3: Memory Is Stored
Relevant information is saved as memory for future use. GitHub explains that memories are repository-specific and validated against the current codebase before being applied.
Step 4: Copilot Uses Memory Later
During future interactions, Copilot references the stored context to provide more relevant suggestions and responses.
Step 5: Better Results
The result is:
- Less repetitive prompting
- Faster development
- More consistent code
- More context-aware recommendations
A Simple Example
Letโs say youโre building an Employee Management App.
First Interaction
You tell Copilot:
- This project uses Dataverse.
- Employee records contain Name, Department, and Email.
- Follow the organizationโs Power Apps naming standards.
Future Interaction
Later, you ask:
Create a screen to add a new employee.
Because Copilot has learned important project details, it can:
โ Use Dataverse
โ Create fields for Name, Department, and Email
โ Follow naming standards
โ Use the established project structure
As a result, you donโt need to explain the same information repeatedly.
Without Memory vs With Memory
Without Memory
- Repeated explanations
- Generic responses
- Starts from scratch
- More manual prompting
With Memory
- Context-aware responses
- Remembers project knowledge
- Faster workflow
- More consistent recommendations
GitHub describes Memory as a way for Copilot to build a repository-level understanding that improves assistance over time.
What Does Copilot Memory Remember?
GitHub identifies two primary categories of memories.
Repository-Level Facts
Examples include:
- Coding conventions
- Architectural decisions
- Build commands
- Project-specific rules
User-Level Preferences
Examples include:
- Coding style preferences
- Interaction preferences
- Development workflow preferences
These memories help Copilot deliver more personalized and repository-aware assistance.
How to Enable GitHub Copilot Memory
To enable the feature:
- Open GitHub Settings
- Navigate to Copilot Settings
- Locate Copilot Memory
- Enable the feature
- Start working with supported Copilot experiences
GitHub documentation explains that eligible users can enable or disable Memory through Copilot settings and manage stored memories as needed.
Note:
- By default the Copilot Memory feature is in disabled mode, we can enable it as per your requirement.
Is GitHub Copilot Memory Generally Available?
As of October 2026, GitHub Copilot Memory remains in Public Preview and is available for eligible paid GitHub Copilot plans. GitHub notes that the feature is subject to change and continues to evolve.
๐ฅ Watch the Complete Video Tutorial
Prefer watching instead of reading? Check out my step-by-step video tutorial on GitHub Copilot Memory, where I explain the concept using simple examples, demonstrate how Memory works, and show how to enable it in Copilot Studio.
โถ๏ธ Watch on YouTube:
In This Video
โ
What is GitHub Copilot Memory?
โ
How Memory Works
โ
Simple Real-World Example
โ
Benefits of Memory
โ
How to Enable Memory in Copilot Studio
โ
Current Preview Status and Availability
Final Thoughts
GitHub Copilot Memory represents an important step toward more intelligent and context-aware AI-assisted development.
Rather than treating every conversation as a completely new interaction, Copilot can build knowledge about your repository, remember important details, and help you work more efficiently over time.
If youโve ever wished Copilot could remember the project standards, architecture decisions, or preferences youโve already explained, GitHub Copilot Memory is designed to solve exactly that problem.
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